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
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· Statistics and computing· 0 citations
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...