Kobayashi Genya

Affiliation and department：

Research field (1)： Economic statistics

Research keywords (2)： Bayesian Econometrics , Bayesian Statistics

Research theme for competitive and other funds (8)：

2021 - 2025 大規模データに対するベイズモデリングの新展開
2020 - 2025 Bayesian spatio-temporal modeling of income inequality
2021 - 2024 Bayesian time series and spatio-temporal analysis of income and poverty
2018 - 2021 Small Area Estimation and Its Application to Analysis of Poverty, Public Health and Disaster (SAE)
2018 - 2021 形状に制約のあるベイズ関数回帰モデルと経済データへの応用

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Papers (20)：

Yuki Kawakubo, Genya Kobayashi. Small area estimation of general finite-population parameters based on grouped data. Computational Statistics & Data Analysis. 2023. 184. 107741-107741
Shonosuke Sugasawa, Genya Kobayashi. Robust fitting of mixture models using weighted complete estimating equations. Computational Statistics & Data Analysis. 2022. 174. 107526-107526
Genya Kobayashi, Yuta Yamauchi, Kazuhiko Kakamu, Yuki Kawakubo, Shonosuke Sugasawa. Bayesian Approach to Lorenz Curve Using Time Series Grouped Data. Journal of Business & Economic Statistics. 2022. 40. 2. 897-912
Genya Kobayashi, Taeyoung Roh, Jangwon Lee, Taeryon Choi. Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution. Canadian Journal of Statistics. 2020
Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo. Estimation and inference for area-wise spatial income distributions from grouped data. Computational Statistics & Data Analysis. 2020. 145. 106904-106904

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MISC (1)：

Shioko Mukai, Genya Kobayashi, Kazuhiko Kakamu. Age-related Commonalities and Differences Concerning the Evaluation of Tea Beverage Package Designs. INTERNATIONAL JOURNAL OF PSYCHOLOGY. 2016. 51. 200-201

Lectures and oral presentations (16)：

Spatio-temporal Smoothing, Interpolation and Prediction of Income Distributions based on Grouped Data
(XV World Conference of the Spatial Econometrics Association 2021)
Bayesian approach to Lorenz curve usingn time series grouped data
(IISA 2019 Conference 2019)
Bayesian Approach to Lorenz curve using time series grouped data
(Workshop on Bayesian Modelling of Income and Wealth 2019)
Estimation and inference for area-wise spatial income distributions from grouped data
(SAE 2019 2019)
Flexible Bayesian quantile curve fitting with shape restrictions based on Gaussian process and generalised asymmetric Laplace distribution
(ISBA Eastern Asia Chapter 2018)

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Education (3)：

Work history (6)：

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