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Multivariate multiple regression modelling for technology analysis

Jun, Sunghae; Wood, Jacob; Park, Sangsung - In: Technology analysis & strategic management 30 (2018) 3, pp. 311-323

Persistent link: https://www.econbiz.de/10011808292

An ensemble approach to GEFCom2017 probabilistic load forecasting

Landgraf, Andrew J. - In: International journal of forecasting 35 (2019) 4, pp. 1432-1438

Persistent link: https://www.econbiz.de/10012305367

Response versus gradient boosting trees, GLMs and neural networks under Tweedie loss and log-link

Hainaut, Donatien; Trufin, Julien; Denuit, Michel - In: Scandinavian actuarial journal 2022 (2022) 10, pp. 841-866

Persistent link: https://www.econbiz.de/10013491040

Macroeconomic forecasting using factor models and machine learning : an application to Japan

Maehashi, Kohei; Shintani, Mototsugu - 2020

Persistent link: https://www.econbiz.de/10013329759

Forecasting financial and macroeconomic variables using data reduction methods : new empirical evidence

Kim, Hyun Hak; Swanson, Norman R. - In: Journal of econometrics 178 (2014) 1, pp. 352-367

Persistent link: https://www.econbiz.de/10010256842

Analysing farmland rental rates using Bayesian geoadditive quantile regression

März, Alexander; Klein, Nadja; Kneib, Thomas; … - 2014 - This version: February 14, 2014

Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional means using spatial autoregressive models, where a linear functional form between the response and the covariates is usually assumed. However, if it is in fact non-linear, misspecifying the...

Persistent link: https://www.econbiz.de/10010242847

Non-homogeneous boosting for predictor selection in ensemble post-processing

Messner, Jakob W.; Mayr, Georg. J.; Zeileis, Achim - 2016

Non-homogeneous regression is often used to statistically post-process ensemble forecasts. Usually only ensemble … increasing numbers of input variables. This paper proposes a boosting algorithm to estimate the regression coefficients while … case study with ensemble forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) shows that this …

Persistent link: https://www.econbiz.de/10011434081

Big data analytics : a new perspective

Chudik, Alexander; Kapetanios, George; Pesaran, M. Hashem - 2016

Model specification and selection are recurring themes in econometric analysis. Both topics become considerably more complicated in the case of large-dimensional data sets where the set of specification possibilities can become quite large. In the context of linear regression models, penalised...

Persistent link: https://www.econbiz.de/10011444508

Student and school performance across countries : a machine learning approach

Masci, Chiara; Johnes, Geraint; Agasisti, Tommaso - In: European journal of operational research : EJOR 269 (2018) 3, pp. 1072-1085

Persistent link: https://www.econbiz.de/10011866842

Modern prediction methods : new perspectives on a common problem

Putka, Dan J.; Beatty, Adam S.; Reeder, Matthew C. - In: Organizational research methods : ORM 21 (2018) 3, pp. 689-732

Persistent link: https://www.econbiz.de/10011880167