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Citations for "Bayesian measures of model complexity and fit"

by David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika van der Linde

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  1. Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
  2. Olivier Parent & James P. LeSage, 2008. "Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 235-256.
  3. Harvey Goldstein & Simon Burgess & Brendon McConnell, 2006. "Modelling the Impact of Pupil Mobility on School Differences in Educational Achievement," The Centre for Market and Public Organisation 06/156, Department of Economics, University of Bristol, UK.
  4. Thomas M. Fullerton & Felipe I. Galan & Wm. Doyle Smith & Adam G. Walke, 2014. "An Empirical Analysis of Migratory Flows to the United States," Applied Economics and Finance, Redfame publishing, vol. 1(2), pages 11-20, November.
  5. Yuki Kawakubo & Tatsuya Kubokawa & Muni S. Srivastava, 2015. "A Variant of AIC Using Bayesian Marginal Likelihood," CIRJE F-Series CIRJE-F-971, CIRJE, Faculty of Economics, University of Tokyo.
  6. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial regimes and uncertainty shocks," BCAM Working Papers 1404, Birkbeck Centre for Applied Macroeconomics.
  7. Feng Gao & J. Miller & Chengjie Xiong & Julia Beiser & Mae Gordon, 2011. "A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(1), pages 83-100, March.
  8. S. Upadhyay & M. Peshwani, 2008. "Posterior analysis of lognormal regression models using the Gibbs sampler," Statistical Papers, Springer, vol. 49(1), pages 59-85, March.
  9. Diewald, Laszlo & Prokopczuk, Marcel & Wese Simen, Chardin, 2015. "Time-variations in commodity price jumps," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 72-84.
  10. Fabrizi, Enrico & Trivisano, Carlo, 2016. "Small area estimation of the Gini concentration coefficient," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 223-234.
  11. Martijn Jong & Jan-Benedict Steenkamp, 2010. "Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 3-32, March.
  12. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
  13. Dong, A.X.D. & Chan, J.S.K., 2013. "Bayesian analysis of loss reserving using dynamic models with generalized beta distribution," Insurance: Mathematics and Economics, Elsevier, vol. 53(2), pages 355-365.
  14. BAUWENS, Luc & ROMBOUTS, Jeroen, 2009. "On marginal likelihood computation in change-point models," CORE Discussion Papers 2009061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  15. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2012. "Bayesian Estimation of Inefficiency Heterogeneity in Stochastic Frontier Models," Efficiency Series Papers 2012/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  16. Chan, Jennifer So Kuen & Wan, Wai Yin, 2014. "Multivariate generalized Poisson geometric process model with scale mixtures of normal distributions," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 72-87.
  17. Martins, Thiago G. & Simpson, Daniel & Lindgren, Finn & Rue, Håvard, 2013. "Bayesian computing with INLA: New features," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 68-83.
  18. Chris Brooks & Marcel Prokopczuk, 2011. "The Dynamics of Commodity Prices," ICMA Centre Discussion Papers in Finance icma-dp2011-09, Henley Business School, Reading University.
  19. Mukhoti, Sujay, 2014. "Non-Stationary Stochastic Volatility Model for Dynamic Feedback and Skewness," MPRA Paper 62532, University Library of Munich, Germany.
  20. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
  21. Luo, Changqing & Ouyang, Zisheng, 2014. "Estimating IPO pricing efficiency by Bayesian stochastic frontier analysis: The ChiNext market case," Economic Modelling, Elsevier, vol. 40(C), pages 152-157.
  22. Lawrence Kazembe, 2009. "Modelling individual fertility levels in Malawian women: a spatial semiparametric regression model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 237-255, July.
  23. Ghosh, Pulak & Bayes, C.L. & Lachos, V.H., 2009. "A robust Bayesian approach to null intercept measurement error model with application to dental data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1066-1079, February.
  24. Patrizia Ordine & Claudio Lupi, 2009. "Family Income and Students' Mobility," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(1), pages 1-23, April.
  25. Wiper, Michael P. & Galeano, Pedro & García de la Fuente, Cristina, 2014. "Bayesian estimation of a dynamic conditional correlation model with multivariate Skew-Slash innovations," DES - Working Papers. Statistics and Econometrics. WS ws141711, Universidad Carlos III de Madrid. Departamento de Estadística.
  26. Lin, Tsung I. & Ho, Hsiu J. & Chen, Chiang L., 2009. "Analysis of multivariate skew normal models with incomplete data," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2337-2351, November.
  27. Alexander Jerak & Stefan Wagner, 2006. "Modeling probabilities of patent oppositions in a Bayesian semiparametric regression framework," Empirical Economics, Springer, vol. 31(2), pages 513-533, June.
  28. Shirley J. Huang & Jun Yu, 2009. "Bayesian Analysis of Structural Credit Risk Models with Microstructure Noises," Finance Working Papers 23054, East Asian Bureau of Economic Research.
  29. Rodrigues, Josemar & Bazán, Jorge L. & Suzuki, Adriano K. & Balakrishnan, Narayanaswamy, 2016. "The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data," Statistics & Probability Letters, Elsevier, vol. 119(C), pages 281-288.
  30. Takemi Yanagimoto & Toshio Ohnishi, 2014. "Permissible boundary prior function as a virtually proper prior density," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(4), pages 789-809, August.
  31. Marcin Jaskowski & Michael McAleer, 2012. "Estimating implied recovery rates from the term structure of CDS spreads," KIER Working Papers 836, Kyoto University, Institute of Economic Research.
  32. Ding, Liang & Vo, Minh, 2012. "Exchange rates and oil prices: A multivariate stochastic volatility analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 15-37.
  33. BAUWENS, Luc & LUBRANO, Michel, . "Bayesian inference in dynamic disequilibrium models: an application to the Polish credit market," CORE Discussion Papers RP 1918, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  34. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2010. "Panel Data Analysis of Japanese Residential Water Demand Using a Discrete/Continuous Choice Approach," CIRJE F-Series CIRJE-F-764, CIRJE, Faculty of Economics, University of Tokyo.
  35. Philippe Widmer, 2015. "Does prospective payment increase hospital (in)efficiency? Evidence from the Swiss hospital sector," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(4), pages 407-419, May.
  36. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 305-320.
  37. Sen, Ananda & Kannan, Nandini & Kundu, Debasis, 2013. "Bayesian planning and inference of a progressively censored sample from linear hazard rate distribution," Computational Statistics & Data Analysis, Elsevier, vol. 62(C), pages 108-121.
  38. Fidler, Fiona & Geoff, Cumming & Mark, Burgman & Neil, Thomason, 2004. "Statistical reform in medicine, psychology and ecology," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 615-630, November.
  39. Oded Netzer & James M. Lattin & V. Srinivasan, 2008. "A Hidden Markov Model of Customer Relationship Dynamics," Marketing Science, INFORMS, vol. 27(2), pages 185-204, 03-04.
  40. Laine Bradshaw & Jonathan Templin, 2014. "Combining Item Response Theory and Diagnostic Classification Models: A Psychometric Model for Scaling Ability and Diagnosing Misconceptions," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 403-425, July.
  41. Saleem A. Bahaj, 2014. "Systemic sovereign risk: macroeconomic implications in the euro area," LSE Research Online Documents on Economics 58110, London School of Economics and Political Science, LSE Library.
  42. Rankin, Peter Sheldon & Lemos, Ricardo T., 2015. "An alternative surplus production model," Ecological Modelling, Elsevier, vol. 313(C), pages 109-126.
  43. Hoff, Peter D., 2011. "Hierarchical multilinear models for multiway data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 530-543, January.
  44. G. Iliopoulos & M. Kateri & I. Ntzoufras, 2009. "Bayesian Model Comparison for the Order Restricted RC Association Model," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 561-587, December.
  45. Gabriele B. Durrant & Fiona Steele, 2009. "Multilevel modelling of refusal and non-contact in household surveys: evidence from six UK Government surveys," LSE Research Online Documents on Economics 50112, London School of Economics and Political Science, LSE Library.
  46. Meulders, Michel & De Boeck, Paul & Vandenberk, Miek, 2009. "Going beyond the detection of differential item functioning in tests for personnel selection," Working Papers 2009/40, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
  47. Izhak Berkovich, 2013. "A Multidimensional Approach in International Comparative Policy Analysis Based on Demographic Projections," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 943-968, December.
  48. Fullerton, Thomas M., Jr. & Walke, Adam G. & Villavicencio, Diana, 2015. "An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico," MPRA Paper 71141, University Library of Munich, Germany, revised 28 Jan 2015.
  49. Neeraj Arora & Ty Henderson & Qing Liu, 2011. "Noncompensatory Dyadic Choices," Marketing Science, INFORMS, vol. 30(6), pages 1028-1047, November.
  50. Li, Yunxian & Tang, Niansheng & Jiang, Xuejun, 2016. "Bayesian approaches for analyzing earthquake catastrophic risk," Insurance: Mathematics and Economics, Elsevier, vol. 68(C), pages 110-119.
  51. Gamerman, Dani & Moreira, Ajax R. B., 2004. "Multivariate spatial regression models," Journal of Multivariate Analysis, Elsevier, vol. 91(2), pages 262-281, November.
  52. Mario Quaranta, 2016. "An Apathetic Generation? Cohorts’ Patterns of Political Participation in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(3), pages 793-812, February.
  53. Jullion, Astrid & Lambert, Philippe, 2007. "Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2542-2558, February.
  54. Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
  55. Susanne Gschlößl & Claudia Czado, 2008. "Modelling count data with overdispersion and spatial effects," Statistical Papers, Springer, vol. 49(3), pages 531-552, July.
  56. Fullerton, Thomas M., Jr. & Ramirez, David A. & Walke, Adam G., 2013. "An Econometric Analysis of Population Change in Arkansas," MPRA Paper 59588, University Library of Munich, Germany, revised 11 Nov 2013.
  57. Leonardo Oliveira Martins & Hirohisa Kishino, 2010. "Distribution of distances between topologies and its effect on detection of phylogenetic recombination," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 145-159, February.
  58. Miguel Sarmiento & Jorge E. Galán, 2015. "The influence of risk-taking on bank efficiency: evidence from Colombia," Working Papers 1537, Banco de España;Working Papers Homepage.
  59. repec:gam:jgames:v:7:y:2016:i:2:p:11:d:68042 is not listed on IDEAS
  60. Yu-Wei Chang & Rung-Ching Tsai & Nan-Jung Hsu, 2014. "A Speeded Item Response Model: Leave the Harder till Later," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 255-274, April.
  61. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
  62. Bernardi, Mauro & Maruotti, Antonello & Lea, Petrella, 2012. "Skew mixture models for loss distributions: a Bayesian approach," MPRA Paper 39826, University Library of Munich, Germany.
  63. T. Loeys & Y. Rosseel & K. Baten, 2011. "A Joint Modeling Approach for Reaction Time and Accuracy in Psycholinguistic Experiments," Psychometrika, Springer;The Psychometric Society, vol. 76(3), pages 487-503, July.
  64. Congdon, P., 2007. "Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2586-2601, February.
  65. Leigh McAlister & Garrett Sonnier & Tom Shively, 2012. "The relationship between online chatter and firm value," Marketing Letters, Springer, vol. 23(1), pages 1-12, March.
  66. Reis, Edna A. & Gamerman, Dani & Paez, Marina S. & Martins, Thiago G., 2013. "Bayesian dynamic models for space–time point processes," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 146-156.
  67. R. Klein Entink & J.-P. Fox & W. Linden, 2009. "A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 21-48, March.
  68. Duncan Fong & Wayne DeSarbo & Zhe Chen & Zhuying Xu, 2015. "A Bayesian Vector Multidimensional Scaling Procedure Incorporating Dimension Reparameterization with Variable Selection," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1043-1065, December.
  69. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
  70. Nicola J. Cooper & Paul C. Lambert & Keith R. Abrams & Alexander J. Sutton, 2007. "Predicting costs over time using Bayesian Markov chain Monte Carlo methods: an application to early inflammatory polyarthritis," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 37-56.
  71. Chiara Seghieri & Gustavo Desantis & Maria Tanturri, 2006. "The Richer, the Happier? An Empirical Investigation in Selected European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 79(3), pages 455-476, December.
  72. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265, April.
  73. Pires, Rubiane M. & Diniz, Carlos A.R., 2012. "Correlated binomial regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2513-2525.
  74. Ferraz, V.R.S. & Moura, F.A.S., 2012. "Small area estimation using skew normal models," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2864-2874.
  75. Galán, Jorge E. & Veiga, Helena & Wiper, Michael P., 2015. "Dynamic effects in inefficiency: Evidence from the Colombian banking sector," European Journal of Operational Research, Elsevier, vol. 240(2), pages 562-571.
  76. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
  77. Nobuhiko Terui & Shohei Hasegawa, 2013. "Modeling Preference Change through Brand Satiation," TMARG Discussion Papers 112, Graduate School of Economics and Management, Tohoku University.
  78. White, Gentry & Ghosh, Sujit K., 2009. "A stochastic neighborhood conditional autoregressive model for spatial data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3033-3046, June.
  79. Lubrano, Michel & Ndoye, Abdoul Aziz Junior, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 830-846.
  80. Claudia Czado & Anette Heyn & Gernot Müller, 2011. "Modeling individual migraine severity with autoregressive ordered probit models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(1), pages 101-121, March.
  81. David Epstein & Leticia García-Mochón & Stephen Kaptoge & Simon G. Thompson, 2016. "Modeling the costs and long-term health benefits of screening the general population for risks of cardiovascular disease: a review of methods used in the literature," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1041-1053, November.
  82. Kheiri, Soleiman & Kimber, Alan & Reza Meshkani, Mohammad, 2007. "Bayesian analysis of an inverse Gaussian correlated frailty model," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5317-5326, July.
  83. David, Cesarini & Dawes, Christopher T. & Johannesson, Magnus & Lichtenstein, Paul & Wallace, Björn, 2007. "Genetic Variation in Preferences for Giving and Risk-Taking," SSE/EFI Working Paper Series in Economics and Finance 679, Stockholm School of Economics, revised 12 Jan 2009.
  84. Mark Wilson, 2013. "Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 211-236, April.
  85. Lu, Xiaosun & Huang, Yangxin & Zhu, Yiliang, 2016. "Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 119-130.
  86. Raji Srinivasan & Pamela Haunschild & Rajdeep Grewal, 2007. "Vicarious Learning in New Product Introductions in the Early Years of a Converging Market," Management Science, INFORMS, vol. 53(1), pages 16-28, January.
  87. Ausín, Concepción & Gómez, M. & Domínguez, M. C., 2015. "Seasonal copula models for the analysis of glacier discharge at King George Island, Antarctica," DES - Working Papers. Statistics and Econometrics. WS ws1513, Universidad Carlos III de Madrid. Departamento de Estadística.
  88. Kaeck, Andreas & Alexander, Carol, 2012. "Volatility dynamics for the S&P 500: Further evidence from non-affine, multi-factor jump diffusions," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3110-3121.
  89. Jim Griffin & Mark Steel, 2005. "Bayesian Stochastic Frontier Analysis Using WinBUGS," Econometrics 0509004, EconWPA.
  90. Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S., 2014. "A dynamic linear model with extended skew-normal for the initial distribution of the state parameter," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 64-80.
  91. Marek Jarocinski, 2004. "Responses to Monetary Policy Shocks in the East and the West of Europe: A Comparison," CASE Network Studies and Analyses 0287, CASE-Center for Social and Economic Research.
  92. Hanneke Geerlings & Cees Glas & Wim Linden, 2011. "Modeling Rule-Based Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 337-359, April.
  93. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
  94. Hosoe, Nobuhiro & Takagi, Shingo, 2012. "Retail power market competition with endogenous entry decision—An auction data analysis," Journal of the Japanese and International Economies, Elsevier, vol. 26(3), pages 351-368.
  95. repec:dau:papers:123456789/15030 is not listed on IDEAS
  96. Corey Sparks & Joey Campbell, 2014. "An Application of Bayesian Methods to Small Area Poverty Rate Estimates," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(3), pages 455-477, June.
  97. Jiří Witzany, 2013. "Estimating Correlated Jumps and Stochastic Volatilities," Prague Economic Papers, University of Economics, Prague, vol. 2013(2), pages 251-283.
  98. Hadfield, Jarrod D., 2010. "MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i02).
  99. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, 01.
  100. Silvia Haan-Rietdijk & John M. Gottman & Cindy S. Bergeman & Ellen L. Hamaker, 2016. "Get Over It! A Multilevel Threshold Autoregressive Model for State-Dependent Affect Regulation," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 217-241, March.
  101. Wang, Wan-Lun & Fan, Tsai-Hung, 2012. "Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 300-310.
  102. Hui, Francis K.C., 2017. "Model-based simultaneous clustering and ordination of multivariate abundance data in ecology," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 1-10.
  103. Fox, Jean-Paul, 2007. "Multilevel IRT Modeling in Practice with the Package mlirt," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i05).
  104. Congdon, Peter, 2007. "Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3197-3212, March.
  105. Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
  106. Retzer, J.J. & Soofi, E.S. & Soyer, R., 2009. "Information importance of predictors: Concept, measures, Bayesian inference, and applications," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2363-2377, April.
  107. Jimmy de la Torre & Jeffrey Douglas, 2008. "Model Evaluation and Multiple Strategies in Cognitive Diagnosis: An Analysis of Fraction Subtraction Data," Psychometrika, Springer;The Psychometric Society, vol. 73(4), pages 595-624, December.
  108. S. Avouyi-Dovi & G. Horny & P. Sevestre, 2015. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Working papers 547, Banque de France.
  109. Lu, Zhenqiu (Laura) & Zhang, Zhiyong, 2014. "Robust growth mixture models with non-ignorable missingness: Models, estimation, selection, and application," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 220-240.
  110. Vishva Danthurebandara & Martina Vandebroek & Jie Yu, 2013. "Integrated mixed logit and latent variable models," Marketing Letters, Springer, vol. 24(3), pages 245-259, September.
  111. Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  112. Wang, Joanna J.J., 2012. "On asymmetric generalised t stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2079-2095.
  113. Brezger, Andreas & Lang, Stefan, 2006. "Generalized structured additive regression based on Bayesian P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 967-991, February.
  114. Mark Oppe & Maiwenn Al & Maureen Rutten-Mölken, 2011. "Comparing Methods of Data Synthesis," PharmacoEconomics, Springer, vol. 29(3), pages 239-250, March.
  115. Scheipl, Fabian & Kneib, Thomas, 2009. "Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3533-3552, August.
  116. Joshua C.C. Chan & Eric Eisenstat, 2015. "Bayesian model comparison for time-varying parameter VARs with stochastic volatility," CAMA Working Papers 2015-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  117. Bokusheva, Raushan, 2010. "Measuring the dependence structure between yield and weather variables," MPRA Paper 22786, University Library of Munich, Germany.
  118. Azevedo, Caio L.N. & Bolfarine, Heleno & Andrade, Dalton F., 2011. "Bayesian inference for a skew-normal IRT model under the centred parameterization," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 353-365, January.
  119. Samson B. Adebayo, 2004. "Bayesian geoadditive modelling of breastfeeding initiation in Nigeria," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 267-281.
  120. Rashidi, Parinaz & Wang, Tiejun & Skidmore, Andrew & Mehdipoor, Hamed & Darvishzadeh, Roshanak & Ngene, Shadrack & Vrieling, Anton & Toxopeus, Albertus G., 2016. "Elephant poaching risk assessed using spatial and non-spatial Bayesian models," Ecological Modelling, Elsevier, vol. 338(C), pages 60-68.
  121. Richard Morey & Jeffrey Rouder & Paul Speckman, 2009. "A Truncated-Probit Item Response Model for Estimating Psychophysical Thresholds," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 603-618, December.
  122. Feng, Zhixin & Jones, Kelvyn & Wang, Wenfei Winnie, 2015. "An exploratory discrete-time multilevel analysis of the effect of social support on the survival of elderly people in China," Social Science & Medicine, Elsevier, vol. 130(C), pages 181-189.
  123. Veiga, Helena & Ramos, Sofía B. & Galán, Jorge, 2015. "An analysis of the dynamics of efficiency of mutual funds," DES - Working Papers. Statistics and Econometrics. WS ws1517, Universidad Carlos III de Madrid. Departamento de Estadística.
  124. Chakraborty, A. & Beamonte, M.A. & Gelfand, A.E. & Alonso, M.P. & Gargallo, P. & Salvador, M., 2013. "Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 292-307.
  125. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524.
  126. Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
  127. Tomohiro Ando, 2008. "Measuring the baseline sales and the promotion effect for incense products: a Bayesian state-space modeling approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(4), pages 763-780, December.
  128. Congdon, Peter, 2006. "A model for non-parametric spatially varying regression effects," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 422-445, January.
  129. Omori, Yasuhiro & Miyawaki, Koji, 2010. "Tobit model with covariate dependent thresholds," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2736-2752, November.
  130. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
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  270. Vo, Minh & Cohen, Michael & Boulter, Terry, 2015. "Asymmetric risk and return: Evidence from the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 35(PB), pages 558-573.
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  272. Terrance Savitsky & Daniel McCaffrey, 2014. "Bayesian Hierarchical Multivariate Formulation with Factor Analysis for Nested Ordinal Data," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 275-302, April.
  273. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Cambridge Working Papers in Economics 1423, Faculty of Economics, University of Cambridge.
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  279. Aktekin, Tevfik & Caglar, Toros, 2013. "Imperfect debugging in software reliability: A Bayesian approach," European Journal of Operational Research, Elsevier, vol. 227(1), pages 112-121.
  280. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.
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