5 papers
Tree-Embedded Bayesian Factor Models for Multidimensional Categorical Distributions
Naoki Awaya, Keisuke Sasaki, Genya Kobayashi +1
Analyzing data collected from multiple observational units to estimate common and heterogeneous structures through a hierarchical model is a central task in Bayesian inference, and…
Bayesian Benchmarking Small Area Estimation via Entropic Tilting
Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
Benchmarking estimation and its risk evaluation is a practically important issue in small area estimation. While Bayesian methods have been widely adopted in small area estimation,…
General Bayesian quantile regression for counts via generative modeling
Yuta Yamauchi, Genya Kobayashi, Shonosuke Sugasawa
Count data frequently arises in biomedical applications, such as the length of hospital stay. However, their discrete nature poses significant challenges for appropriately modeling…
Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data
Genya Kobayashi, Shonosuke Sugasawa, Yuki Kawakubo
The Housing and Land Survey (HLS) of Japan provides municipality-level grouped data on household incomes. Although such data can be invaluable for effective local policymaking, the…
Similarity-based Random Partition Distribution for Clustering Functional Data
Tomoya Wakayama, Shonosuke Sugasawa, Genya Kobayashi
Random partition distribution is a crucial tool for model-based clustering. This study advances the field of random partition in the context of functional spatial data, focusing on…