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Recent studies that analyze scanner panel data often use hierarchical Bayes modeling with dynamic structures and random effects to model consumers’ heterogeneity. In this study, we propose a hybrid version of a hierarchical Bayes model with dynamic structures in which both latent classes and...
This study explains neighborhood differences in people’s attitudes toward education by utilizing nationally representative data from Japan. While previous studies have shown that individuals’ socioeconomic backgrounds are related to their attitudes toward education, no study in Japan has...
Functional data refer to data that are assumed to be generated from an underlying smooth function varying over a continuum such as time or space. Functional linear models (FLMs) and functional extended redundancy analysis (FERA) are major regression analysis methods for investigating directional...
Since its inception, partial least squares path modeling has suffered from the absence of a single optimization criterion for estimating component weights. A new estimation procedure is proposed to address this enduring issue The proposed procedure aims to minimize a single least squares...
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