6 papers
Bayesian spatiotemporal conditional autoregressive model for local temporal variations
Takahiro Onizuka, Shintaro Hashimoto
Spatiotemporal areal data are commonly observed in various fields such including epidemiology, social science, economics and so on. To capture both spatial trends and temporal tren…
Global-local shrinkage priors for modeling random effects in multivariate spatial small area estimation
Shushi Nishina, Takahiro Onizuka, Shintaro Hashimoto
Small area estimation (SAE) plays a central role in survey statistics and epidemiology, providing reliable estimates for domains with limited sample sizes. The multivariate Fay-Her…
On Misspecified Error Distributions in Bayesian Functional Clustering: Consequences and Remedies
Fumiya Iwashige, Tomoya Wakayama, Shonosuke Sugasawa +1
Nonparametric Bayesian approaches provide a flexible framework for clustering without pre-specifying the number of groups, yet they are well known to overestimate the number of clu…
Robust Bayesian Inference for Censored Survival Models
Yasuyuki Hamura, Takahiro Onizuka, Shintaro Hashimoto +1
This paper proposes a robust Bayesian accelerated failure time model for censored survival data. We develop a new family of life-time distributions using a scale mixture of the gen…
Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights
Fumiya Iwashige, Shintaro Hashimoto
In Bayesian inference for mixture models with an unknown number of components, a finite mixture model is usually employed that assumes prior distributions for mixing weights and th…
Robust Bayesian graphical modeling using -divergence
Takahiro Onizuka, Shintaro Hashimoto
Gaussian graphical model is one of the powerful tools to analyze conditional independence between two variables for multivariate Gaussian-distributed observations. When the dimensi…