Printed from https://ideas.repec.org/n/nep-big/2018-10-08.html
Report NEP-BIG-2018-10-08
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Jochen Hausler & Marcel Lang & Jessica Ruscheinsky, 2018, "News-based sentiment analysis in real estate: A supervised machine learning approach with support vector networks," ERES, European Real Estate Society (ERES), number eres2018_153, Jan.
- Philipp Maximilien Mueller, 2018, "Automation of the technical due diligence with artificial intelligence in the real estate industry," ERES, European Real Estate Society (ERES), number eres2018_313, Jan.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2018, "Nowcasting New Zealand GDP Using Machine Learning Algorithms," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2018-47, Sep.
- J Gallego & G Rivero & J.D. MartÔøΩnez, 2018, "Preventing rather than Punishing: An Early Warning Model of Malfeasance in Public Procurement," Documentos de Trabajo, Universidad del Rosario, number 16724, Sep.
- Austin Nichols, 2018, "Implementing machine learning methods in Stata," London Stata Conference 2018, Stata Users Group, number 08, Oct.
- Fuli Feng & Xiangnan He & Xiang Wang & Cheng Luo & Yiqun Liu & Tat-Seng Chua, 2018, "Temporal Relational Ranking for Stock Prediction," Papers, arXiv.org, number 1809.09441, Sep, revised Jan 2019.
- Achim Ahrens & Christian B Hansen & Mark E Schaffer, 2018, "LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression," London Stata Conference 2018, Stata Users Group, number 12, Oct.
- Ryan Ferguson & Andrew Green, 2018, "Deeply Learning Derivatives," Papers, arXiv.org, number 1809.02233, Sep, revised Oct 2018.
- Ancil Crayton, 2018, "Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization," Papers, arXiv.org, number 1809.08718, Sep.
- Mario Bodenbender & Björn-Martin Kurzrock, 2018, "Towards the broad application of machine learning for document classification and data migration in real estate," ERES, European Real Estate Society (ERES), number eres2018_165, Jan.
- Jahn, Malte, 2018, "Artificial neural network regression models: Predicting GDP growth," HWWI Research Papers, Hamburg Institute of International Economics (HWWI), number 185.
- Max H. Farrell & Tengyuan Liang & Sanjog Misra, 2018, "Deep Neural Networks for Estimation and Inference," Papers, arXiv.org, number 1809.09953, Sep, revised Sep 2019.
- Paul Greenhalgh & Kevin Muldoon-Smith & Adejimi Adebayo & Josephine Ellis, 2018, "Experimental spatial modelling of commercial property stock using GIS," ERES, European Real Estate Society (ERES), number eres2018_61, Jan.
- Giovanni Cerulli, 2018, "Data-driven sensitivity analysis for matching estimators," London Stata Conference 2018, Stata Users Group, number 02, Oct.
- Junfeng Jiang & Jiahao Li, 2018, "Constructing Financial Sentimental Factors in Chinese Market Using Natural Language Processing," Papers, arXiv.org, number 1809.08390, Sep.
- Fernando A Morales & Cristian C Chica & Carlos A Osorio & Daniel Cabarcas J, 2018, "A big data based method for pass rates optimization in mathematics university lower division courses," Papers, arXiv.org, number 1809.09724, Sep, revised Oct 2020.
- Melissa Bantle & Matthias Muijs, 2018, "A new price test in geographic market definition – an application to german retail gasoline market," Working Paper, Helmut Schmidt University, Hamburg, number 180/2018, Aug.
- Trapp, Andrew C. & Teytelboym, Alexander & Martinello, Alessandro & Andersson, Tommy & Ahani, Narges, 2018, "Placement Optimization in Refugee Resettlement," Working Papers, Lund University, Department of Economics, number 2018:23, Oct, revised 20 Mar 2020.