Search Results - subject:"variable selection"

A simple variable selection technique for nonlinear models

Rech, Gianluigi; Teräsvirta, Timo; Tschernig, Rolf - Economics Institute for Research (SIR), … - 1999

Applying nonparametric variable selection criteria in nonlinear regression models generally requires a substantial …

Persistent link: https://www.econbiz.de/10005649346

An Application of Multiple Comparison Techniques to Model Selection

Shimodaira, Hidetoshi - In: Annals of the Institute of Statistical Mathematics 50 (1998) 1, pp. 1-13

Persistent link: https://www.econbiz.de/10005395825

Confidence sets centered at C <Subscript> p </Subscript>-estimators

Beran, Rudolf - In: Annals of the Institute of Statistical Mathematics 48 (1996) 1, pp. 1-15

Persistent link: https://www.econbiz.de/10005184653

Business Sector Classification And Beyond Using Machine Learning

El propósito de este documento es presentar el trabajo sobre la sectorización y clasificación de Holdings usando Machine Learning (en español, Aprendizaje Automático) que se ha desarrollado en la Central de Balances en el Banco de España durante el último año. Este trabajo también ha...

Persistent link: https://www.econbiz.de/10014513240

Weighting and selection of variables for cluster analysis

Gnanadesikan, R.; Kettenring, J.; Tsao, S. - In: Journal of Classification 12 (1995) 1, pp. 113-136

Persistent link: https://www.econbiz.de/10005602903

Identification of inconsistent variates in factor analysis

Kano, Yutaka; Ihara, Masamori - In: Psychometrika 59 (1994) 1, pp. 5-20

Persistent link: https://www.econbiz.de/10005382012

Variable selection in clustering

Fowlkes, E.; Gnanadesikan, R.; Kettenring, J. - In: Journal of Classification 5 (1988) 2, pp. 205-228

Persistent link: https://www.econbiz.de/10005156027

Development of a Method to Assess the Relevant Variables and the Probability of Financial Distress

Crapp, Harvey R.; Stevenson, Maxwell - In: Australian Journal of Management 12 (1987) 2, pp. 221-236

This study develops a method to select variables, and to specify the relative importance of those variables, as input for failure models. In addition, our method provides estimates of the failure probabilities of organisations at a point in time. The results of tests of our method on Australian...

Persistent link: https://www.econbiz.de/10010769396

Adaptive Monte Carlo on multivariate binary sampling spaces

Schäfer, Christian; Chopin, Nicolas - Université Paris-Dauphine (Paris IX)

practical motivation for this problem is variable selection in a linear regression context, where we need to either find the …

Persistent link: https://www.econbiz.de/10011073707