Search results with tag "Variable selection"
An Introduction to Variable and Feature Selection
jmlr.csail.mit.edutext processing of internet documents, gene expression array analysis, and combinatorial chemistry. The objective of variable selection is three-fold: improving the prediction performance of the pre-dictors, providing faster and more cost-effective predictors, and providing a better understanding of the underlying process that generated the data.
医学統計セミナー第4回 傾向スコア分析
www.waidai-csc.jpBrookhat, M.A. et al.: Variable selection for propensity score models, American Journal of Epidemiology, 163(12), 1149 -1156. 医学統計セミナー：傾向スコア 2019.2.5
Abstract - stat.columbia.edu
www.stat.columbia.eduregression, horseshoe variable selection, and neural networks. Keywords: Bayesian stacking, Markov chain Monte Carlo, model misspeci cation, multimodal posterior, parallel computation, postprocessing. 1. Introduction Bayesian computation becomes di cult when posterior distributions are multimodal or
Variable Selection - Biostatistics
www.biostat.jhsph.edufrom the model before higher order terms in the same variable. There two common situations where this situation arises: Polynomials models. Consider the model y b0 b1x b2x 2 e Suppose we t this model and nd that the regression summary shows that the term in x is not signif-icant but the term in x2 is.