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08/11/2023
Clustering and Predicting Multiple Time Series Count Data via Mixture of Bayesian Predictive Syntheses: Analysis of COVID-19 Hospitalisation in Japan and Korea
Since the outbreak of COVID-19, governments and academia have made treme...
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08/03/2023
Similarity-based Random Partition Distribution for Clustering Functional Data
Random partitioned distribution is a powerful tool for model-based clust...
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07/18/2022
Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data
In Japan, the Housing and Land Survey (HLS) provides grouped data on hou...
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04/28/2020
Predicting Infection of COVID-19 in Japan: State Space Modeling Approach
The number of confirmed cases of the coronavirus disease (COVID-19) in J...
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04/08/2020
Robust Mixture Modeling using Weighted Complete Estimating Equations
Mixture modeling that takes account of potential heterogeneity in data i...
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08/19/2019
Bayesian approach to Lorenz curve using time series grouped data
This study is concerned with estimating the inequality measures associat...
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04/25/2019
Estimation and inference for area-wise spatial income distributions from grouped data
Estimating income distributions plays an important role in the measureme...
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03/18/2019
