35 citations · 67 across the 3 of their papers we have counts for
3 papers
Use of spurious correlation for multiplicity adjustment
Yoshiyuki Ninomiya, Satoshi Kuriki, Toshihiko Shiroishi +1
We consider one of the most basic multiple testing problems that compares expectations of multivariate data among several groups. As a test statistic, a conventional (approximate)…
Sparse principal component regression for generalized linear models
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada +1
Principal component regression (PCR) is a widely used two-stage procedure: principal component analysis (PCA), followed by regression in which the selected principal components are…
Sparse principal component regression with adaptive loading
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada +1
Principal component regression (PCR) is a two-stage procedure that selects some principal components and then constructs a regression model regarding them as new explanatory variab…