23 citations · 96 across the 34 of their papers we have counts for
4 papers · 1 filter
Selective inference after feature selection via multiscale bootstrap
Yoshikazu Terada, Hidetoshi Shimodaira
It is common to show the confidence intervals or -values of selected features, or predictor variables in regression, but they often involve selection bias. The selective inferen…
An information criterion for auxiliary variable selection in incomplete data analysis
Shinpei Imori, Hidetoshi Shimodaira
Statistical inference is considered for variables of interest, called primary variables, when auxiliary variables are observed along with the primary variables. We consider the set…
An information criterion for model selection with missing data via complete-data divergence
Hidetoshi Shimodaira, Haruyoshi Maeda
We derive an information criterion to select a parametric model of complete-data distribution when only incomplete or partially observed data is available. Compared with AIC, our n…
Frequentist and Bayesian measures of confidence via multiscale bootstrap for testing three regions
Hidetoshi Shimodaira
A new computation method of frequentist -values and Bayesian posterior probabilities based on the bootstrap probability is discussed for the multivariate normal model with unkno…