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Shonosuke Sugasawa

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Preprint Sep 2026

Finite Mixtures of Generalized Estimating Equations for Clustering Multivariate Correlated Outcomes

Multivariate correlated outcomes occur across disciplines, including ecology, social sciences, and psychometrics. This paper focuses on clustering these outcomes across observational units, specifically, finding groups of units with the same ``outcome profile". Our motivation comes from bioregionalization in ecology, w...

Shonosuke Sugasawa, Francis K. C. Hui · 0 citations
Open access Aug 2026

Fast robust additive models using gamma-divergence

Additive models offer a flexible framework for modeling nonlinear relationships between predictors and a continuous response variable, where nonparametric terms are commonly modeled via penalized splines. However, such models can be sensitive to outliers, leading to potentially unreliable estimation and inferential res...

Francis K. C. Hui, Ding Ding, Shonosuke Sugasawa · 0 citations
Preprint Aug 2026

Log-regularly varying scale mixture of asymmetric Laplaces for robust Bayesian quantile regression

Bayesian quantile regression based on the asymmetric Laplace (AL) distribution can be sensitive to extreme observations because of its exponentially decaying tails. We propose a robust error distribution constructed as a finite mixture of the AL distribution and a log-Pareto scale mixture of asymmetric Laplace distribu...

Dongu Han, Genya Kobayashi, Shonosuke Sugasawa · 0 citations

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