Faculty Database - KOBAYASHI GENYA

Books and Papers

Conference Presentations

Academic Qualifications

Career History

Major Subjects

researchmap Researcher Code

Research Topics, Consignment Studies & KAKENHI Researches

Current Specialized Field

KAKENHI Researcher Number

（Last updated : 2024-08-02 01:11:29）

KOBAYASHI GENYA
Department Undergraduate School , School of Commerce

Position Professor

■ Books and Papers

1.	2024/07	Article	Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses The Annals of Applied Statistics (Collaboration)
2.	2024/06	Book	Bayesian Data Analysis, 3rd Edition (Collaboration)
3.	2023/08	Article	Small area estimation of general finite-population parameters based on grouped data Computational Statistics & Data Analysis 184,pp.107741-107741 (Collaboration)
4.	2022/10	Article	Robust fitting of mixture models using weighted complete estimating equations Computational Statistics & Data Analysis 174,pp.107526-107526 (Collaboration)
5.	2020/05	Article	Estimation and inference for area-wise spatial income distributions from grouped data Computational Statistics & Data Analysis 145,pp.106904-106904 (Collaboration)
6.	2020	Article	Predicting intervention effect for COVID-19 in Japan: state space modeling approach BioScience Trends 14(3),pp.174-181 (Collaboration)
7.	2018/01	Article	Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach Cliometrica 12(1),pp.1-31 (Collaboration)
8.	2018	Article	Approximate Bayesian computation for Lorenz curves from grouped data. Computational Statistics (Collaboration)
9.	2018	Article	Latent mixture modeling for clustered data. Statistics and Computing (Collaboration)
10.	2017/03	Article	Bayesian Endogenous Tobit Quantile Regression BAYESIAN ANALYSIS 12(1),pp.161-191 (Single)
11.	2016/03	Article	Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles COMPUTATIONAL STATISTICS 31(1),pp.49-88 (Single)
12.	2015/03	Article	Generalized multiple-point Metropolis algorithms for approximate Bayesian computation JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 85(4),pp.675-692 (Collaboration)
13.	2015/01	Article	The impact of social workers on infant mortality in inter-war Tokyo: Bayesian dynamic panel quantile regression with endogenous variables CLIOMETRICA 9(1),pp.97-130 (Collaboration)
14.	2014/12	Article	A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice COMPUTATIONAL STATISTICS & DATA ANALYSIS 80,pp.167-183 (Single)
15.	2014/10	Article	Integrated purchase model using Gaussian Copula Behaviormetrika 41(2),pp.147-167 (Collaboration)
16.	2013/03	Article	Advances in approximate Baeysian computation Kobe University (Single)
17.	2012/06	Article	Bayesian analysis of quantile regression for censored dynamic panel data COMPUTATIONAL STATISTICS 27(2),pp.359-380 (Collaboration)
18.	2011	Article	Gibbs sampling methods for Bayesian quantile regression JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 81(11),pp.1565-1578 (Collaboration)
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■ Conference Presentations

1.	2021/05/01	Spatio-temporal Smoothing, Interpolation and Prediction of Income Distributions based on Grouped Data (XV World Conference of the Spatial Econometrics Association)
2.	2019/12/01	Bayesian approach to Lorenz curve usingn time series grouped data (IISA 2019 Conference)
3.	2019/09/01	Bayesian Approach to Lorenz curve using time series grouped data (Workshop on Bayesian Modelling of Income and Wealth)
4.	2019/08/01	Estimation and inference for area-wise spatial income distributions from grouped data (SAE 2019)
5.	2018/07/01	Flexible Bayesian quantile curve fitting with shape restrictions based on Gaussian process and generalised asymmetric Laplace distribution (ISBA Eastern Asia Chapter)
6.	2018/06/01	Flexible Bayesian quantile curve fitting with shape restrictions based on Gaussian process and generalised asymmetric Laplace distribution. (ISBA World Meeting)
7.	2017/07/01	Small area estimation for grouped data (Small Area Estimation Conference)
8.	2016/12/01	Bayesian nonparametric instrumental variable regression approach to quantile inference (The First Eastern Asian Meeting on Bayesian Statistics)
9.	2015/07/01	Approximate Bayesian computation for Lorenz curves from grouped data (2015 Joint Statistical Meeting)
10.	2015/07/01	Bayesian endogenous Tobit quantile regression (The 9th CSDA International Conference on Computational and Financial Econometrics)
11.	2015/07/01	The impact of piped water on the mortality in inter-war Tokyo: Bayesian disease mapping approach (2015 Joint Statistical Meeting)
12.	2013/12/01	Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles, and expectiles (The 7th CSDA International Conference on Computational and Financial Econometrics)
13.	2011/12/01	Transdimensional approximate Bayesian computation for model choice (he 5th CSDA International Conference on Computational and Financial Econometrics (CFE11))
14.	2010/12/01	Generalized multiple-point algorithms for approximate Bayesian computation (The 4thCSDA International Conference on Computational and Financial Econometrics (CFE10))
15.	2009/10/01	Bayesian and non-Bayesian analysis of quantile regression for longitudinal data (The3rd CSDA International Conference on Computational and Financial Econometrics (CFE09))
16.	2008/12/01	A Gibbs sampling approach to Bayesian quantile regression (Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of IASC on Computational Statistics & Data Analysis,)
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■ Academic Qualifications

1.	2010/04～2013/03	〔Doctorial Course〕, Graduate School, Division of Administration, Kobe University, Completed,
2.	2008/04～2010/03	〔Master Course〕, Graduate School, Division of Administration, Kobe University, Completed,
3.	2004/04～2008/03	Faculty of Management, Kobe University, Graduated,

■ Career History

1.	2016/10～2017/03	Associate Professor
2.	2014/04～2016/09	Lecturer

■ researchmap Researcher Code

B000334625

■ Research Topics, Consignment Studies & KAKENHI Researches

1.	2024/04～2029/03	Novel Bayesian predictive methods for social science (Key Word : )
2.	2020/04～2025/03	Bayesian spatio-temporal modeling of income inequality (Key Word : )
3.	2018/04～2021/03	Bayesian shape-restricted functional regression with application to economic data (Key Word : )
4.	2015/04～2018/03	Bayesian quantile regression wiht endogeneity for various type of data (Key Word : )

■ Current Specialized Field

Economic statistics

■ KAKENHI Researcher Number

00725103