4 papers
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,…
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…
Multilevel Decomposition of Generalized Entropy Measures Using Constrained Bayes Estimation: An Application to Japanese Regional Data
Yuki Kawakubo, Kazuhiko Kakamu
We propose a method for multilevel decomposition of generalized entropy (GE) measures that explicitly accounts for nested population structures such as national, regional, and subr…
Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses
Genya Kobayashi, Shonosuke Sugasawa, Yuki Kawakubo +2
This paper proposes a novel methodology called the mixture of Bayesian predictive syntheses (MBPS) for multiple time series count data for the challenging task of predicting the nu…