Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C4: Econometric and Statistical Methods: Special Topics
/ / / C45: Neural Networks and Related Topics

2015

• Kudic, Muhamed & Ehrenfeld, Wilfried & Pusch, Toralf, 2015, "Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 1/2015.
• Kreuchauff, Florian & Korzinov, Vladimir, 2015, "A patent search strategy based on machine learning for the emerging field of service robotics," Working Paper Series in Economics, Karlsruhe Institute of Technology (KIT), Department of Economics and Management, number 71, DOI: 10.5445/IR/1000049790.
• Kephart, Curtis & Friedman, Daniel & Baumer, Matt, 2015, "Emergence of networks and market institutions in a large virtual economy," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics, WZB Berlin Social Science Center, number SP II 2015-502.

2014

• Mary Violeta Bar, 2014, "The Computational Intelligence Techniques For Predictions - Artificial Neural Networks," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, volume 2, issue 42, pages 184-190.
• Miklós Virág & Tamás Nyitrai, 2014, "Is there a trade-off between the predictive power and the interpretability of bankruptcy models? The case of the first Hungarian bankruptcy prediction model," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 64, issue 4, pages 419-440, December.
• Oscar Claveria & Enric Monte & Salvador Torra, 2014, "“A multivariate neural network approach to tourism demand forecasting”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201410, May, revised May 2014.
• Danilo Leiva-Leon, 2014, "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers, Bank of Canada, number 14-38, DOI: 10.34989/swp-2014-38.
• Zekić-Sušac Marijana & Pfeifer Sanja & Šarlija Nataša, 2014, "A Comparison of Machine Learning Methods in a High-Dimensional Classification Problem," Business Systems Research, Paradigm, volume 5, issue 3, pages 82-96, September, DOI: 10.2478/bsrj-2014-0021.
• David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014, "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, volume 45, issue S1, pages 13-21, November.
• Julien Boelaert, 2014, "Une seule fonction de demande ?. Une enquête sur la stabilité des préférences par mélanges discrets de réseaux de neurones," Revue économique, Presses de Sciences-Po, volume 65, issue 4, pages 515-535.
• Charle Augusto Londono & Juan Carlos Correa & Mauricio Lopera, 2014, "Estimación bayesiana del valor en riesgo: una aplicación para el mercado de valores colombiano," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID.
• Mauricio Lopera & Ram�n Javier Mesa & Charle Londo�o, 2014, "Evaluando las intervenciones cambiarias en Colombia: 2004-2012," Estudios Gerenciales, Universidad Icesi.
• KRINGS, Gautier M & CARPANTIER, Jean-François & DELVENNE, Jean-Charles, 2014, "Trade integration and trade imbalances in the European Union: a network perspective," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2619, Jan.
• Claveria, Oscar & Torra, Salvador, 2014, "Forecasting tourism demand to Catalonia: Neural networks vs. time series models," Economic Modelling, Elsevier, volume 36, issue C, pages 220-228, DOI: 10.1016/j.econmod.2013.09.024.
• Papadimitriou, Theophilos & Gogas, Periklis & Stathakis, Efthimios, 2014, "Forecasting energy markets using support vector machines," Energy Economics, Elsevier, volume 44, issue C, pages 135-142, DOI: 10.1016/j.eneco.2014.03.017.
• Yu, Lean & Zhao, Yang & Tang, Ling, 2014, "A compressed sensing based AI learning paradigm for crude oil price forecasting," Energy Economics, Elsevier, volume 46, issue C, pages 236-245, DOI: 10.1016/j.eneco.2014.09.019.
• Sermpinis, Georgios & Stasinakis, Charalampos & Dunis, Christian, 2014, "Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 30, issue C, pages 21-54, DOI: 10.1016/j.intfin.2014.01.006.
• Kock, Anders Bredahl & Teräsvirta, Timo, 2014, "Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009," International Journal of Forecasting, Elsevier, volume 30, issue 3, pages 616-631, DOI: 10.1016/j.ijforecast.2013.01.003.
• Abbruzzo, Antonino & Brida, Juan Gabriel & Scuderi, Raffaele, 2014, "Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay," Tourism Management, Elsevier, volume 43, issue C, pages 36-45, DOI: 10.1016/j.tourman.2014.01.014.
• Mahmut ZORTUK & Berna BESER, 2014, "Disa Aciklik ve Demokratik Yapinin Kamu Kesimi Buyuklugu Uzerindeki Etkisi: Rodrik Hipotezine Gecis Ekonomilerinden Kanit," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 14, issue 3, pages 345-359.
• Selahattin YAVUZ & Muhammet DEVECI, 2014, "Bulanik TOPSIS ve Bulanik VIKOR Yontemleriyle Alisveris Merkezi Kurulus Yeri Secimi ve Bir Uygulama," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 14, issue 3, pages 463-479.
• Meltem KARAATLI & Serpil SENAL & Mahmut Sami OZTURK, 2014, "Suleyman Demirel Universitesi, Iktisadi ve Idari Bilimler Fakultesi, Isletme Bolumu," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 14, issue 4, pages 637-648.
• Bozena Bobkova, 2014, "On Estimation of Gravity Equation: A Cluster Analysis," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2014/37, Dec, revised Dec 2014.
• Jasmina ARIFOVIC & Murat YILDIZOGLU, 2014, "Learning the Ramsey outcome in a Kydland & Prescott economy," Cahiers du GREThA (2007-2019), Groupe de Recherche en Economie Théorique et Appliquée (GREThA), number 2014-06.
• Samir Elhedhli & Canan Akdemir & Thomas Astebro, 2014, "Classification models via Tabu search: An application to early stage venture classification," Post-Print, HAL, number hal-01066492, Dec, DOI: 10.1016/j.eswa.2014.07.010.
• Selin Devrim ÖZDEMİR & Işıl AKGÜL, 2014, "Hisse Senedi Piyasalarının Kaotik Yapısı ve Yapay Sinir Ağları ile öngörüsü: IMKB-100 örneği," Iktisat Isletme ve Finans, Bilgesel Yayincilik, volume 29, issue 336, pages 31-58.
• Torsten Hothorn & Achim Zeileis, 2014, "partykit: A Modular Toolkit for Recursive Partytioning in R," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2014-10, Mar.
• Oscar Claveria & Enric Monte & Salvador Torra, 2014, "“A multivariate neural network approach to tourism demand forecasting”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201417, May, revised May 2014.
• Comola, Margherita & Mendola, Mariapia, 2014, "The Formation of Migrant Networks," IZA Discussion Papers, IZA Network @ LISER, number 7981, Feb.
• Grubinger, Thomas & Zeileis, Achim & Pfeiffer, Karl-Peter, 2014, "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Journal of Statistical Software, Foundation for Open Access Statistics, volume 61, issue i01, DOI: http://hdl.handle.net/10.18637/jss..
• Elena Olmedo, 2014, "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, volume 43, issue 2, pages 183-197, February, DOI: 10.1007/s10614-013-9371-1.
• Gheorghe H. Popescu & Elvira Nica, 2014, "Neuroeconomic Models of Decision-Making," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, volume 6, issue 1, pages 63-66, March.
• Ömer Akgöbek & Emre Yakut, 2014, "Efficiency measurement in Turkish manufacturing sector using Data Envelopment Analysis (DEA) and Artificial Neural Networks (ANN)," Journal of Economic and Financial Studies (JEFS), LAR Center Press, volume 2, issue 3, pages 35-45, June.
• Reinhold Decker, 2014, "Real-Time Analysis of Online Product Reviews by Means of Multi-Layer Feed-Forward Neural Networks," International Journal of Business and Social Research, LAR Center Press, volume 4, issue 11, pages 60-70, November.
• Reinhold Decker, 2014, "Real-Time Analysis of Online Product Reviews by Means of Multi-Layer Feed-Forward Neural Networks," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, volume 4, issue 11, pages 60-70, November.
• Ricardo Figueiredo Summa & Leonardo Macrini, 2014, "Os determinantes da inflação brasileira recente: estimações utilizando redes neurais [Determinants of recent Brazilian inflation: Estimates using neural networks]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), volume 24, issue 2, pages 279-296, May-Augus.
• Dan Farhat, 2014, "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers, University of Otago, Department of Economics, number 1404, Mar, revised Mar 2014.
• Dan Farhat, 2014, "Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand:," Working Papers, University of Otago, Department of Economics, number 1405, Mar, revised Mar 2014.
• Tomasz Jasinski & Agnieszka Scianowska, 2014, "Security Assessment and Optimization of Energy Supply," Working Papers, Institute of Economic Research, number 30/2014, Dec, revised Dec 2014.
• Gautier M Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2014, "Trade Integration and Trade Imbalances in the European Union: A Network Perspective," PLOS ONE, Public Library of Science, volume 9, issue 1, pages 1-14, January, DOI: 10.1371/journal.pone.0083448.
• Mishra, Sudhanshu K, 2014, "What happens if in the principal component analysis the Pearsonian is replaced by the Brownian coefficient of correlation?," MPRA Paper, University Library of Munich, Germany, number 56861, Jun.
• Mishra, SK, 2014, "A note on Poincaré recurrence in Anosov diffeomorphic transformation of discretized outline of some plant leaves," MPRA Paper, University Library of Munich, Germany, number 57594, Jul.
• Gawlik, Remigiusz & Gołębiowski, Kamil, 2014, "Incorporating Qualitative Indicators of Well - Being into Quantitative Economic Research," MPRA Paper, University Library of Munich, Germany, number 58587.
• Gawlik, Remigiusz, 2014, "Application of Artificial Intelligence Methods for Analysis of Material and Non-material Determinants of Functioning of Young Europeans in Times of Crisis in the Eurozone," MPRA Paper, University Library of Munich, Germany, number 62444, revised 2014.
• Alpaslan YARAR & Mustafa ONÜÇYILDIZ & Nuri PEKÇET?N, 2014, "Forecasting The Runoff Data Using Adaptive Neuro Fuzzy Inference Systems (ANFIS)," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 0201599, Jun.
• Oswaldo García Salgado & Arturo Morales Castro, 2014, "Empresas exitosas y no exitosas que cotizan en la BMV del Sector Comercial: Una clasificación con Análisis Discriminante Múltiple, Modelos Logit y Redes Neuronales Artificiales," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 4, issue 1, pages 33-62, enero-jun.
• Manuel Rodríguez & Carlos Piñeiro & Pablo De Llano, 2014, "Determinación del riesgo de fracaso financiero mediante la utilización de modelos paramétricos, de inteligencia artificial, y de información de auditoría," Estudios de Economia, University of Chile, Department of Economics, volume 41, issue 2 Year 20, pages 187-217, December.
• DIMITRIU, Mihail, 2014, "A Point Of View On The Logic Modelling Of The Financial Network," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", volume 18, issue 1, pages 8-19.
• DIMITRIU, Mihail, 2014, "Particularities Of Transfer Channel In The Financial Network Modeling," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", volume 1, issue 1, pages 239-243.

2013

• Cagdas Hakan ALADAG & Miruna MAZURENCU MARINESCU, 2013, "Tl/Euro And Leu/Euro Exchange Rates Forecasting With Artificial Neural Network," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, volume 2, issue 2, pages 1-6, DECEMBER.
• Romano, Severino & Cozzi, Mario & Giglio, Paolo & Catullo, Giovanna, 2013, "Post-2013 EU Common Agricultural Policy: predictive models of land use change," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), volume 2, issue 2, pages 1-22, August, DOI: 10.22004/ag.econ.156472.
• Hardle, Wolfgang Karl & Prastyo, Dedy Dwi & Hafner, Christian, 2013, "Support Vector Machines with Evolutionary Feature Selection for Default Prediction," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2013040, Jan.
• Miklós Virag & Tamás Nyitrai, 2013, "Application of support vector machines on the basis of the first Hungarian bankruptcy model," Society and Economy, Akadémiai Kiadó, Hungary, volume 35, issue 2, pages 227-248, August.
• Laura Maria BADEA (STROIE), 2013, "Supporting Management Decisions by Using Artificial Neural Networks for Exchange Rate Prediction," Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 12, issue 4, pages 578-594, December.
• Oscar Claveria & Enric Monte & Salvador Torra, 2013, "“Tourism demand forecasting with different neural networks models”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 201313, Nov, revised Nov 2013.
• Daniel Vela, 2013, "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia, Banco de la Republica de Colombia, number 761, Mar, DOI: 10.32468/be.761.
• Franz Alonso Hamann Salcedo & Rafael Hernández & Luisa Fernanda Silva EScobar & Fernando Tenjo Galarza, 2013, "Credit Pro-cyclicality and Bank Balance Sheet in Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 762, Apr, DOI: 10.32468/be.762.
• Juan Sebastián Amador Torres & José EDuardo Gómez G. & Andrés Murcia Pabón, 2013, "Loans Growth and Banks’ Risk: New Evidence," Borradores de Economia, Banco de la Republica de Colombia, number 763, Apr, DOI: 10.32468/be.763.
• CIOBANU Dumitru & BAR Mary Violeta, 2013, "On The Prediction Of Exchange Rate Dollar/Euro With An Svm Model," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 65, issue 2, pages 91-109.
• Hill Jonathan B., 2013, "Stochastically weighted average conditional moment tests of functional form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 17, issue 2, pages 121-139, April, DOI: 10.1515/snde-2012-0019.
• Antonio Abbruzzo & Juan Gabriel Brida & Raffaele Scuderi, 2013, "Determinants of Individual Tourist Expenditure as a Network: Empirical Findings from Uruguay," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS09, Jun.
• Komsan Suriya, 2013, "Airline market segments after low cost airlines in Thailand: Passengerclassification using Neural Networks and Logit model with selective learning," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, volume 2, issue 4, pages 21-32, December.
• Mauricio Lopera Castano & Ramón Javier Mesa Callejas & Sergio Iván Restrepo Ochoa & Charle Augusto Londono Henao, 2013, "Modelando el esquema de intervenciones del tipo de cambio para Colombia. una aplicación empírica de la técnica de regresión del cuantil bajo redes neu," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID.
• Daniel Vela, 2013, "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia, Banco de la Republica, number 10502, Feb.
• Franz Alonso Hamann Salcedo & Rafael Hern�ndez & Luisa Fernanda Silva Escobar & Fernando Tenjo Galarza, 2013, "Credit Pro-cyclicality and Bank Balance Sheet in Colombia," Borradores de Economia, Banco de la Republica, number 10695, Apr.
• Juan Sebasti�n Amador Torres & Jos� Eduardo G�mez G. & Andr�s Murcia Pab�n, 2013, "Loans Growth and Banks� Risk: New Evidence," Borradores de Economia, Banco de la Republica, number 10710, Apr.
• Mauricio Lopera C. & Favi�n Gonz�lez & Charle Augusto Londo�o, 2013, "Efectos de la política monetaria sobre la valoración de activos en el mercado accionario colombiano (2004-2012)," Perfil de Coyuntura Económica, Universidad de Antioquia, CIE, issue 22, pages 179-196.
• KRINGS, Gautier M. & CARPANTIER, Jean-François & dELVENNE, Jean-Charles & ,, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2013056, Nov.
• JACKSON, Matthew O. & LOPEZ-PINTADO, Dunia, 2013, "Diffusion and contagion in networks with heterogeneous agents and homophily," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2561, Jan.
• Margherita Comola & Mariapia Mendola, 2013, "The Formation of Migrant Networks," Development Working Papers, Centro Studi Luca d'Agliano, University of Milano, number 353, Jun.
• Jackson, Matthew O. & López-Pintado, Dunia, 2013, "Diffusion and contagion in networks with heterogeneous agents and homophily," Network Science, Cambridge University Press, volume 1, issue 1, pages 49-67, April.
• Malte Sundkötter & Daniel Ziegler, 2013, "Perfect Competition vs. Riskaverse Agents: Technology Portfolio Choice in Electricity Markets," EWL Working Papers, University of Duisburg-Essen, Chair for Management Science and Energy Economics, number 1303, Apr, revised Apr 2013.
• Majid Delavari & Nadiya Gandali Alikhani & Esmaeil Naderi, 2013, "Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting?," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, volume 3, issue 2, pages 466-475.
• Zhang, Mingzhu & He, Changzheng & Gu, Xin & Liatsis, Panos & Zhu, Bing, 2013, "D-GMDH: A novel inductive modelling approach in the forecasting of the industrial economy," Economic Modelling, Elsevier, volume 30, issue C, pages 514-520, DOI: 10.1016/j.econmod.2012.09.021.
• Dong, Chaohua & Gao, Jiti, 2013, "Solving replication problems in a complete market by orthogonal series expansion," The North American Journal of Economics and Finance, Elsevier, volume 25, issue C, pages 306-317, DOI: 10.1016/j.najef.2012.06.009.
• Ozer Ozdemir & Memmedaga Memmedli & Akhlitdin Nizamitdinov, 2013, "ANN Models and Bayesian Spline Models for Analysis of Exchange Rates and Gold Price," International Econometric Review (IER), Economic Research Association, volume 5, issue 2, pages 53-69, September.
• Pablo de Llano Monelos & Manuel Rodríguez López & Carlos Piñeiro Sánchez, 2013, "Bankruptcy Prediction Models in Galician companies. Application of Parametric Methodologies and Artificial Intelligence," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 1, pages 117-136.
• Akçay, Belgin, 2013, "Avro Bölgesi Borç Krizi: GIIPS," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey, Ekonomik Yaklasim Association, number 203.
• Anders Bredahl Kock & Timo Teräsvirta, 2013, "Forecasting the Finnish Consumer Price Inflation Using Artificial Neural Network Models and Three Automated Model Selection Techniques," Finnish Economic Papers, Finnish Economic Association, volume 26, issue 1, pages 13-24, Spring.
• Gautier M. Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network pespective," Working Papers, HAL, number hal-01821136.
• Gautier M. Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," Working Papers, HAL, number hal-01821137, Nov.
• Gautier M. Krings & Jean-Franccois Carpantier & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network perspective," Working Papers, HAL, number hal-01821141, Sep.
• Linda Margarita Medina Herrera & Ernesto Armando Pacheco Velazquez, 2013, "Spectral Analysis And Networks In Financial Correlation Matrices, Analisis Espectral Y Redes En Matrices De Correlacion Financiera," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 6, issue 6, pages 15-28.
• Patricia Cortez & Paúl Medina, 2013, "Factores determinantes de la migración de los ecuatorianos," Analítika, Analítika - Revista de Análisis Estadístico/Journal of Statistical Analysis, volume 5, issue 1, pages 25-35, Junio.
• Elsy Gómez-Ramos & Francisco Venegas-Martínez, 2013, "A Review of Artificial Neural Networks: How Well Do They Perform in Forecasting Time Series?," Analítika, Analítika - Revista de Análisis Estadístico/Journal of Statistical Analysis, volume 6, issue 2, pages 7-15, Diciembre.
• Oscar Claveria & Enric Monte & Salvador Torra, 2013, "“Tourism demand forecasting with different neural networks models”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201321, Nov, revised Nov 2013.
• Gautier M. Krings & Jean-François Carpantier, & Jean-Charles Delvenne, 2013, "Trade integration and trade imbalances in the European Union: a network pespective," DEM Discussion Paper Series, Department of Economics at the University of Luxembourg, number 13-22.
• Julien Boelaert, 2013, "A Neural Network Demand System," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 13081, Dec.
• Núñez Tabales, Julia M. & Caridad y Ocerin, José María & Rey Carmona, Francisco J., 2013, "Artificial Neural Networks for Predicting Real Estate Prices || Redes neuronales artificiales para la predicción de precios inmobiliarios," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 15, issue 1, pages 29-44, June.
• de Rigo, Daniele & Corti, Paolo & Caudullo, Giovanni & McInerney, Daniel & Di Leo, Margherita & San-Miguel-Ayanz, Jesús, 2013, "Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling," MPRA Paper, University Library of Munich, Germany, number 44194.
• de Rigo, Daniele, 2013, "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper, University Library of Munich, Germany, number 44201.
• Abounoori, Abbas Ali & Naderi, Esmaeil & Gandali Alikhani, Nadiya & Amiri, Ashkan, 2013, "Financial Time Series Forecasting by Developing a Hybrid Intelligent System," MPRA Paper, University Library of Munich, Germany, number 45615, Jan.
• Abounoori, Abbas Ali & Naderi, Esmaeil & Gandali Alikhani, Nadiya & Amiri, Ashkan, 2013, "Financial Time Series Forecasting by Developing a Hybrid Intelligent System," MPRA Paper, University Library of Munich, Germany, number 45860, Jan.
• de Rigo, Daniele, 2013, "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper, University Library of Munich, Germany, number 45960.
• Nazarian, Rafik & Gandali Alikhani, Nadiya & Naderi, Esmaeil & Amiri, Ashkan, 2013, "Forecasting Stock Market Volatility: A Forecast Combination Approach," MPRA Paper, University Library of Munich, Germany, number 46786, Mar.
• Gawlik, Remigiusz, 2013, "Material and Non-material Determinants of European Youth's Life Quality," MPRA Paper, University Library of Munich, Germany, number 48065, Jun.
• di Iasio, Giovanni & Battiston, Stefano & Infante, Luigi & Pierobon, Federico, 2013, "Capital and Contagion in Financial Networks," MPRA Paper, University Library of Munich, Germany, number 52141, Dec.
• Leiva-Leon, Danilo, 2013, "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," MPRA Paper, University Library of Munich, Germany, number 54452, Jun.
• Oancea, Bogdan & Dragoescu, Raluca & Ciucu, Stefan, 2013, "Predicting students’ results in higher education using a neural network," MPRA Paper, University Library of Munich, Germany, number 72041, Apr.
• Maninderpal Singh Saini & Gyewon Moon, 2013, "Social Networking Sites: A premise on enhancement," Journal of Internet Banking and Commerce, Nahum Goldmann, volume 18, issue 3, pages 01-15.
• Lin, Fengyi & Yeh, Ching Chiang & Lee, Meng Yuan, 2013, "A Hybrid Business Failure Prediction Model Using Locally Linear Embedding And Support Vector Machines," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 82-97, March.
• Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013, "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers, School of Economics, The University of New South Wales, number 2013-18, Jun.
• Tae-Hwy Lee & Zhou Xi & Ru Zhang, 2013, "Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks," Working Papers, University of California at Riverside, Department of Economics, number 201422, Sep, revised Apr 2012.
• Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2013, "Modeling and forecasting of the long-term seasonal component of the EEX and Nord Pool spot prices," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/13/02, Feb.
• Montagna, Mattia & Kok, Christoffer, 2013, "Multi-layered interbank model for assessing systemic risk," Kiel Working Papers, Kiel Institute for the World Economy, number 1873.

2012

• Adrián Fernández-Pérez & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2012, "Genetic algorithm for arbitrage with more than three currencies," Working Papers, Asociación Española de Economía y Finanzas Internacionales, number 12-04, Jul.
• Dumitru Ciobanu Ph. D Student, 2012, "Svm Adaptation For Use In Web Mining," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, volume 1, issue 19, pages 165-173, November.
• Tamás Kristóf & Miklós Virág, 2012, "Data reduction and univariate splitting — Do they together provide better corporate bankruptcy prediction?," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 62, issue 2, pages 205-228, June.
• Adel KARAA & Aida KRICHENE, 2012, "Credit–Risk Assessment Using Support Vectors Machine and Multilayer Neural Network Models: A Comparative Study Case of a Tunisian Bank," Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, volume 11, issue 4, pages 587-620, December.
• Richard Kasa, 2012, "Measuring Innovation Potential at SME Level with a Neurofuzzy Hybrid Model," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
• Laurent Ferrara, 2012, "Prévoir le cycle économique. Synthèse du huitième séminaire de l’International Institute of Forecasters organisé par la Banque de France les 1er et 2 décembre 2011 à Paris," Bulletin de la Banque de France, Banque de France, issue 187, pages 63-69.
• STEFAN Raluca-Mariana & SERBAN Mariuta, 2012, "Neural Network Principles To Classify Economic Data," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 63, issue 4-5, pages 223-233.
• Giacomini, Raffaella & Haefke, Christian & White, Halbert & Gottschling, Andreas, 2002, "Hypernormal Densities," University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego, number qt9wr373nt, Sep.
• Emperatriz Londono Aldana - María Eugenia Navas Ríos, 2012, "Estrategias De Las Mypymes De Comercio: Un Análisis Basado En La Aplicación De Las Redes Neuronales Artificiales," Revista de Economía y Administración, Universidad Autónoma de Occidente.
• Jorge Barrientos Marín & Edwin Rodas & Esteban Velilla & Mauricio Lopera, 2012, "Modelo para el pronóstico del precio de la energía eléctrica en Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE.
• Cristian Picón, 2012, "¿Son más corruptos los países menos abiertos a los mercados internacionales? Aplicación de un modelo predictivo de clasificación basado en Redes Neuro," Revista de Economía del Caribe, Universidad del Norte, volume 0, issue 0, pages 1.
• JACKSON, Matthew O. & LOPEZ-PINTADO, Dunia, 2012, "Diffusion and contagion in networks with heterogeneous agents and homophily," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2012012, Apr.
• David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012, "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series, Center for Research in Economics, Management and the Arts (CREMA), number 2012-01, Jan.
• Carrasco, Raquel & García-Pérez, J. Ignacio, 2012, "Economic Conditions and Employment Dynamics of Immigrants versus Natives: Who Pays the Costs of the "Great Recession"?," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number we1232, Nov.
• Mioara CHIRITA, 2012, "Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 61-66.
• Eleftherios Giovanis, 2012, "Study of Discrete Choice Models and Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA," Economic Analysis and Policy, Elsevier, volume 42, issue 1, pages 79-96, March.
• Bax, Eric & Kuratti, Anand & Mcafee, Preston & Romero, Julian, 2012, "Comparing predicted prices in auctions for online advertising," International Journal of Industrial Organization, Elsevier, volume 30, issue 1, pages 80-88, DOI: 10.1016/j.ijindorg.2011.06.001.
• Abdou, Hussein A. & Pointon, John & El-Masry, Ahmed & Olugbode, Moji & Lister, Roger J., 2012, "A variable impact neural network analysis of dividend policies and share prices of transportation and related companies," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 22, issue 4, pages 796-813, DOI: 10.1016/j.intfin.2012.04.008.
• Nuray GUNERI TOSUNOGLU & Yasemin KESKIN BENLI, 2012, "Morgan Stanley Capital International Turkiye Endeksinin Yapay Sinir Aglari ile Ongorusu," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, volume 12, issue 4, pages 541-547.
• Belgin AKÇAY, 2012, "Türkiye’de Cari Açığın Sürdürülebilirliği: Borç Krizindeki Yunanistan İle Bir Karşılaştırma," Ekonomik Yaklasim, Ekonomik Yaklasim Association, volume 23, issue 84, pages 1-38, DOI: 10.5455/ey.34104.
• Belgin AKÇAY, 2012, "Borç Krizindeki GIIPS," Ekonomik Yaklasim, Ekonomik Yaklasim Association, volume 23, issue 85, pages 23-56, DOI: 10.5455/ey.34101.
• Sorrosal Forradellas, M. T. & Barberà-Mariné, M. G. & Fernández Bariviera, Aurelio & Garbajosa-Cabello, M. J., 2012, "Advantages Of Using Self-Organizing Maps To Analyse Student Evaluations Of Teaching," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), volume 0, issue 1, pages 53-71, May.
• Linda Margarita Medina Herrera & Ernesto Armando Pacheco Velázquez, 2012, "Distances And Networks: The Case Of Mexico," Accounting & Taxation, The Institute for Business and Finance Research, volume 4, issue 2, pages 39-48.
• Julia M. Nunez Tabales & Jose Mª Caridad y Ocerin & Nuria Ceular Villamandos & Francisco Jose Rey Carmona, 2012, "Implicit Prices Associated To The Main Causal Attributes In Real Estate Valuation, Obtencion De Precios Implicitos Para Atributos Determinantes En La Valoracion De Una Vivienda," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 5, issue 3, pages 41-54.
• William Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 2012, "A Single-Blind Controlled Competition Among Tests For Nonlinearity And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 201219, Sep, revised Sep 2012.
• Juan Reboredo & José Matías & Raquel Garcia-Rubio, 2012, "Nonlinearity in Forecasting of High-Frequency Stock Returns," Computational Economics, Springer;Society for Computational Economics, volume 40, issue 3, pages 245-264, October, DOI: 10.1007/s10614-011-9288-5.
• Apostolos Serletis & Anastasios Malliaris & Melvin Hinich & Periklis Gogas, 2012, "Episodic Nonlinearity in Leading Global Currencies," Open Economies Review, Springer, volume 23, issue 2, pages 337-357, April, DOI: 10.1007/s11079-010-9194-9.
• David Bessler & Zijun Wang, 2012, "D-separation, forecasting, and economic science: a conjecture," Theory and Decision, Springer, volume 73, issue 2, pages 295-314, August, DOI: 10.1007/s11238-012-9305-8.
• Jorge Barrientos & Edwin Rodas & Esteban Velilla & Mauricio Lopera & Fernando Villada, 2012, "A model for forecasting electricity prices in Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 77, pages 91-127, DOI: 10.17533/udea.le.n77a14771.
• Chaohua Dong & Jiti Gao, 2012, "Solving Replication Problems in Complete Market by Orthogonal Series Expansion," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 7/12, Mar.
• Alessandro Giovannelli, 2012, "Nonlinear Forecasting Using a Large Number of Predictors," Rivista italiana degli economisti, Società editrice il Mulino, issue 1, pages 143-150.
• Montero-Romero, Teresa & López-Martín, María del Carmen & Becerra-Alonso, David & Martínez-Estudillo, Francisco José, 2012, "Extreme Learning Machine to Analyze the Level of Default in Spanish Deposit Institutions || Análisis de la morosidad de las entidades financieras españolas mediante Extreme Learning Machine," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 13, issue 1, pages 3-23, June.
• Kaizoji, Taisei, 2012, "A Note on Stability of Self-Consistent Equilibrium in an Asynchronous Model of Discrete-Choice with Social Interaction," MPRA Paper, University Library of Munich, Germany, number 38730, May.
• Bildirici, Melike & Ersin, Özgür, 2012, "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper, University Library of Munich, Germany, number 40330, Jan, revised May 2012.
• Djennas, Meriem & Benbouziane, Mohamed & Djennas, Mustapha, 2012, "Agent-Based Modeling in Supply Chain Management:A Genetic Algorithm and Fuzzy Logic Approach," MPRA Paper, University Library of Munich, Germany, number 41782, Sep.
• Matkovskyy, Roman, 2012, "Forecasting the Index of Financial Safety (IFS) of South Africa using neural networks," MPRA Paper, University Library of Munich, Germany, number 42153, Aug.
• Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafal, 2012, "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," MPRA Paper, University Library of Munich, Germany, number 42563, Nov.
• du Jardin, Philippe, 2012, "The influence of variable selection methods on the accuracy of bankruptcy prediction models," MPRA Paper, University Library of Munich, Germany, number 44383, Jan.
• Delavari, Majid & Gandali Alikhani, Nadiya & Naderi, Esmaeil, 2012, "Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting?," MPRA Paper, University Library of Munich, Germany, number 45977, Sep.
• Abounoori, Abbas Ali & Mohammadali, Hanieh & Gandali Alikhani, Nadiya & Naderi, Esmaeil, 2012, "Comparative study of static and dynamic neural network models for nonlinear time series forecasting," MPRA Paper, University Library of Munich, Germany, number 46466, Oct.
• Giovanis, Eleftherios, 2012, "Study of Discrete Choice Models and Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA," MPRA Paper, University Library of Munich, Germany, number 71218, Mar.
• Filiz Ozkan, 2012, "A Comparison of the Monetary Model and Artificial Neural Networks in Exchange Rate Forecasting," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 3, issue 1, pages 1-27.
• Kozo Mayumi & Mario Giampietro & Jesus Ramos-Martin, 2012, "Reconsideration of Dimensions and Curve Fitting Practice in View of Georgescu-Roegen’s Epistemology in Economics," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 17-35, December.
• Vadim DUMITRASCU, 2012, "Positive Feedbacks, Diffusion Phenomenon and Competition between Standards on the Knowledge Markets," Romanian Statistical Review Supplement, Romanian Statistical Review, volume 60, issue 4, pages 73-79, November.
• Alessandro Giovannelli, 2012, "Nonlinear Forecasting Using Large Datasets: Evidences on US and Euro Area Economies," CEIS Research Paper, Tor Vergata University, CEIS, number 255, Nov, revised 08 Nov 2012.
• Ortíz Arango, Francsco & Cabrera Llanos, Agustín I. & Cruz Aranda, Fernando, 2012, "Modelado del comportamiento del tipo de cambio peso-dólar mediante redes neuronales diferenciales / Peso-Dollar Exchange Rate Behavior Modelling by means of Differential Neural Networks," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, volume 2, issue 1, pages 49-64, enero-jun.
• Thomas Fellmann & Myrna Leeuwen & Petra Salamon & Ali Koc & Gulden Boluk, 2012, "EU Enlargement to Turkey: Potential Effects on Turkey’s Agricultural Income and Markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, volume 2, issue 2, pages 1-16, December, DOI: 10.14208/BF03353834.
• Efstathios KIRKOS, 2012, "Predicting Auditor Switches By Applying Data Mining," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, volume 7, issue 3(21)/ Fa, pages 246-261.
• Nijkamp Peter, 2012, "Behaviour of Humans and Behaviour of Models in Dynamic Space," Quaestiones Geographicae, Paradigm, volume 31, issue 2, pages 7-19, June, DOI: 10.2478/v10117-012-0013-9.
• Andrew Sheng & Kian Teng Kwek & Cho Wai Cho, 2012, "Patterns Of Exchange Rates And Current Accounts: The East Asian Waltz," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 57, issue 02, pages 1-34, DOI: 10.1142/S0217590812500099.
• Jakub Nowotarski & Jakub Tomczyk & Rafal Weron, 2012, "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number HSC/12/06.
• Härdle, Wolfgang Karl & Prastyo, Dedy Dwi & Hafner, Christian, 2012, "Support vector machines with evolutionary feature selection for default prediction," SFB 649 Discussion Papers, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk, number 2012-030.

2011

• Anders Bredahl Kock & Timo Teräsvirta, 2011, "Forecasting Macroeconomic Variables using Neural Network Models and Three Automated Model Selection Techniques," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2011-27, Aug.
• Anders Bredahl Kock & Timo Teräsvirta, 2011, "Forecasting performance of three automated modelling techniques during the economic crisis 2007-2009," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2011-28, Aug.
• Michele Bagella & Francesco Busato, 2011, "Defining Green Finance and Green intermediaries," BANCARIA, Bancaria Editrice, volume 10, pages 14-24, October.
• Charle Augusto Londoño, 2011, "Regresión del cuantil aplicada al modelo de redes neuronales artificiales," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, volume 29, issue 64, pages 62-109, July, DOI: 10.32468/Espe.6403.
• L. Ferrara., 2011, "Forecasting the business cycle. Summary of the 8th International Institute of Forecasters workshop hosted by the Banque de France on 1-2 December 2011 in Paris," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 24, pages 135-144, Winter.
• Panayotis G. Michaelides & Angelos T. Vouldis & Efthymios G. Tsionas, 2011, "Returns to scale, productivity and efficiency in US banking (1989-2000): the neural distance function revisited," Working Papers, Bank of Greece, number 126, Mar.
• Kock Anders Bredahl, 2011, "Forecasting with Universal Approximators and a Learning Algorithm," Journal of Time Series Econometrics, De Gruyter, volume 3, issue 3, pages 1-32, October, DOI: 10.2202/1941-1928.1084.
• Charle Augusto Llondono, 2011, "Regresión del cuantil aplicada al modelo de redes neuronales artificiales. Una aproximación de la estructura CAVIAR para el mercado de valores colombiano," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, volume 29, issue 64, pages 62-109, DOI: 10.32468/Espe.6403.
• Charle Augusto Londono Henao & Yaneth María Cuan Jaramillo, 2011, "Modelos de precios de los activos: un ejercicio comparativo basado en redes neuronales aplicado al mercado de valores colombiano," Revista Lecturas de Economía, Universidad de Antioquia, CIE.
• David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2011, "Measuring globalization: A hierarchical network approach," CREMA Working Paper Series, Center for Research in Economics, Management and the Arts (CREMA), number 2011-11, Apr.
• David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler & German Dabat, 2011, "Co-movements in commodity prices: A note based on network analysis," CREMA Working Paper Series, Center for Research in Economics, Management and the Arts (CREMA), number 2011-21, Oct.
• Greta Falavigna, 2011, "An artificial neural network approach for assigning rating judgements to Italian Small Firms," CERIS Working Paper, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY, number 201104, Jun.
• Hamid Abrishami & Vida Varahrami, 2011, "Different methods for gas price forecasting," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 34, issue 96, pages 137-144, Diciembre.
• Linda Margarita Medina Herrera & Ernesto Pacheco Velázquez, 2011, "Comparando distancias en los mercados financieros mundiales," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, volume 6, issue 2, pages 88-98.
• Mustapha Djennas & Mohamed Benbouziane & Meriem Djennas, 2011, "An Approach of Combining Empirical Mode Decomposition and Neural Network Learning for Currency Crisis Forecasting," Working Papers, Economic Research Forum, number 627, Jan, revised 09 Jan 2011.
• Timotej Jagric & Vita Jagric & Davorin Kracun, 2011, "Does Non-linearity Matter in Retail Credit Risk Modeling?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 61, issue 4, pages 384-402, August.
• Maciel, Leandro S., 2011, "Pricing Brazilian exchange rate options using an adaptive network-based fuzzy inference system," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), volume 0, issue 2, pages 59-73, November.
• Aracely Madrid & Adrian Chaparro & Raime Bustos & Antonio Rios, 2011, "Designing A Strategic Planning Tool Applying Artificial Neural Network Theory, Diseno De Una Herramienta De Planificacion Estrategica Aplicando Teoria De Redes Neuronales Artificiales," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 4, issue 4, pages 31-44.
• Thomas Grubinger & Achim Zeileis & Karl-Peter Pfeiffer, 2011, "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2011-20, Sep.
• Gómez-Ramos, Elsy L. & Venegas-Martínez, Francisco & Allier-Campuzano, Héctor, 2011, "Análisis comparativo entre modelos GARCH y redes neuronales en el pronóstico de los índices bursatiles IPC y Dow Jones," eseconomía, Escuela Superior de Economía, Instituto Politécnico Nacional, volume 0, issue 32, pages 3-22, cuarto tr.
• Roberto Patuelli & Aura Reggiani & Peter Nijkamp & Norbert Schanne, 2011, "Neural networks for regional employment forecasts: are the parameters relevant?," Journal of Geographical Systems, Springer, volume 13, issue 1, pages 67-85, March, DOI: 10.1007/s10109-010-0133-5.
• Charle Londoño & Yaneth Cuan, 2011, "Asset Pricing Models: A Comparative Exercise Using Neural Networks to the Colombian Stock Market," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 75, pages 59-87, DOI: 10.17533/udea.le.n75a11476.
• Michal Rubaszek & Pawel Skrzypczynski & Grzegorz Koloch, 2011, "Forecasting the Polish zloty with non-linear models," NBP Working Papers, Narodowy Bank Polski, number 81.
• Matthew O. Jackson & Dunia López Pintado, 2011, "Diffusion and contagion in networks with heterogeneous agents and homophily," Working Papers, Universidad Pablo de Olavide, Department of Economics, number 11.14, Dec.
• Erick Lahura & Marco Vega, 2011, "Evaluation of Wavelet-based Core Inflation Measures: Evidence from Peru," Documentos de Trabajo / Working Papers, Departamento de Economía - Pontificia Universidad Católica del Perú, number 2011-320.
• Nguefack-Tsague, Georges & Zucchini, Walter, 2011, "Modeling hierarchical relationships in epidemiological studies: a Bayesian networks approach," MPRA Paper, University Library of Munich, Germany, number 28232, Jan.
• Filippou, Miltiades & Zervopoulos, Panagiotis, 2011, "Developing a short-term comparative optimization forecasting model for operational units’ strategic planning," MPRA Paper, University Library of Munich, Germany, number 30766, Apr.
• Pugalendhi, Subburethina Bharathi & Nakkeeran, Senthil kumar, 2011, "Mind mapping management," MPRA Paper, University Library of Munich, Germany, number 33366, Aug, revised 12 Aug 2011.
• Malliaris, A.G. & Malliaris, Mary, 2011, "Are foreign currency markets interdependent? evidence from data mining technologies," MPRA Paper, University Library of Munich, Germany, number 35261, Nov.