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Credible regression approaches to forecast mortality for populations with limited data

Bozikas, Apostolos; Pitselis, Georgios - In: Risks : open access journal 7 (2019) 1/27, pp. 1-22

In this paper, we propose a credible regression approach with random coefficients to model and forecast the mortality …

Persistent link: https://www.econbiz.de/10012015901

A post-disaster demand forecasting system using principal component regression analysis and case-based reasoning over smartphone-based DTN

Basu, Souvik; Roy, Siuli; DasBit, Sipra - In: IEEE transactions on engineering management : EM 66 (2019) 2, pp. 224-239

Persistent link: https://www.econbiz.de/10012023138

Generalized additive model with embedded variable selection for bankruptcy prediction : prediction versus interpretation

Valencia, Carlos; Cabrales, Sergio; Garcia, Laura; … - In: Cogent economics & finance 7 (2019) 1, pp. 1-14

This paper explores the properties of using a generalized additive model with embedded variable selection for the prediction of bankruptcy. The main purpose is to explore an innovative way to close the gap between interpretation and prediction that has prevented widespread use of methods based...

Persistent link: https://www.econbiz.de/10012023886

Predicting corporate failure : the GRASP-LOGIT model

Yusta, Silvia Casado; Letamendía, Laura Nuñez; … - In: Revista de métodos cuantitativos para la economía y … 26 (2018), pp. 294-314

Predicting corporate failure is an important problem in management science. This study tests a new method for predicting corporate failure on a sample of Spanish firms. A GRASP (Greedy Randomized Adaptive Search Procedure) strategy is proposed to use a feature selection algorithm to select a...

Persistent link: https://www.econbiz.de/10012023977