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A better measure of relative prediction accuracy for model selection and model estimation

Tofallis, Christopher - In: Journal of the Operational Research Society : OR 66 (2015) 8, pp. 1352-1362

Persistent link: https://www.econbiz.de/10011417204

Predictive model assessment and selection in composite-based modeling using PLS-SEM : extensions and guidelines for using CVPAT

Sharma, Pratyush Nidhi; Liengaard, Benjamin Dybro; … - In: European journal of marketing 57 (2023) 6, pp. 1662-1677

Persistent link: https://www.econbiz.de/10014342089

Conditional variance forecasts for long-term stock returns

Mammen, Enno; Nielsen, Jens Perch; Scholz, Michael; … - In: Risks : open access journal 7 (2019) 4/113, pp. 1-22

squared return prediction errors gives an adequate approximation of the unobserved realised conditional variance for both the …

Persistent link: https://www.econbiz.de/10012127861

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

Transitions into and out of food insecurity : a probabilistic approach with panel data evidence from 15 countries

Wang, Dieter; Andrée, Bo Pieter Johannes; Chamorro, Andres - In: World development : the multi-disciplinary … 159 (2022), pp. 1-18

Persistent link: https://www.econbiz.de/10013549870

Variable selection and functional form uncertainty in cross-country growth regressions

Salimans, Tim - 2011

Regression analyses of cross-country economic growth data are complicated by two main forms of model uncertainty: the uncertainty in selecting explanatory variables and the uncertainty in specifying the functional form of the regression function. Most discussions in the literature address these...

Persistent link: https://www.econbiz.de/10011382708