3 papers
stat.AP2017
Smoothness-constrained model for nonparametric item response theory
Toshiki Sato, Yuichi Takano
This paper is concerned with the nonparametric item response theory (NIRT) for estimating item characteristic curves (ICCs) and latent abilities of examinees on educational and psy…
stat.AP2017
Investigating consumers' store-choice behavior via hierarchical variable selection
Toshiki Sato, Yuichi Takano, Takanobu Nakahara
This paper is concerned with a store-choice model for investigating consumers' store-choice behavior based on scanner panel data. Our store-choice model enables us to evaluate the…
stat.ME2015
Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model
Toshiki Sato, Yuichi Takano, Ryuhei Miyashiro
This paper concerns a method of selecting a subset of features for a sequential logit model. Tanaka and Nakagawa (2014) proposed a mixed integer quadratic optimization formulation…