21 search results - page 2 / 5 » Purposeful selection of variables in logistic regression |
AUSDM
2007
Springer
13 years 11 months ago
2007
Springer
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
BMCBI
2008
13 years 5 months ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
SAC
2011
ACM
13 years 1 days ago
2011
ACM
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Nitrogen is one of the most important chemical intakes to ensure the healthy growth of agricultural crops. However, some environmental concerns emerge (soil and water pollution) w...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...