21 search results - page 1 / 5 » Purposeful selection of variables in logistic regression |
SCFBM
2008
13 years 4 months ago
2008
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
ESSLLI
2009
Springer
13 years 2 months ago
2009
Springer
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
CSDA
2007
13 years 4 months ago
2007
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
CSDA
2006
13 years 4 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
AAAI
2011
12 years 4 months ago
2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...