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Automated Bayesian variable selection methods for binary regression models with missing covariate data

Bergrab, Michael; Aßmann, Christian - In: Wirtschafts- und sozialstatistisches Archiv : eine … 18 (2024) 2, pp. 203-244

Persistent link: https://www.econbiz.de/10015189850

Forecasting crude oil prices with a large set of predictors : Can LASSO select powerful predictors?

Zhang, Yaojie; Ma, Feng; Wang, Yudong - In: Journal of empirical finance 54 (2019), pp. 97-117

Persistent link: https://www.econbiz.de/10012174816

Predictor preselection for mixed-frequency dynamic factor models : a simulation study with an empirical application to GDP nowcasting

Franjic, Domenic; Schweikert, Karsten - In: Journal of forecasting 44 (2025) 2, pp. 255-269

Persistent link: https://www.econbiz.de/10015374018

Time varying effects in survival analysis : a novel data-driven method for drift identification and variable selection

Babutsidze, Zakaria; Guerzoni, Marco; Riso, Luigi - In: Eurasian business review 14 (2024) 1, pp. 285-318

Persistent link: https://www.econbiz.de/10014566819

Nonparametric analysis of replicated microarray experiments

Gannoun, Ali; Saracco, Jérôme; Urfer, Wolfgang; … - 2002

genes simultaneously. In microarray data analysis, the comparison of gene-expression profiles with respect to different … distributions of the test statistics. This paper makes two contributions to the analysis of microarray data. The first is the …

Persistent link: https://www.econbiz.de/10009770535

Nonparametric modeling approach for discovering differentially expressed genes in replicated microarray experiments

Gannoun, Ali; Saracco, Jérôme; Urfer, Wolfgang; … - 2002

genes simultaneously. In microarray data analysis, the comparison of gene-expression profiles with respect to different …

Persistent link: https://www.econbiz.de/10009770912

What determines bitcoin liquidity? : A penalized regression approach

Ahmed, Walid M.A. - In: Applied economics letters 30 (2023) 18, pp. 2543-2554

Persistent link: https://www.econbiz.de/10014366743

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

Iassopack : model selection and prediction with regularized regression in stata

Ahrens, Achim; Hansen, Christian Bailey; Schaffer, Mark E. - 2019

This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS. The methods are suitable for the high-dimensional setting where the number of...

Persistent link: https://www.econbiz.de/10011972491