Rchr
J-GLOBAL ID:201801006762039091   Update date: Nov. 01, 2024

Kobayashi Genya

Kobayashi Genya
Affiliation and department:
Research field  (1): Economic statistics
Research keywords  (2): Bayesian Econometrics ,  Bayesian Statistics
Research theme for competitive and other funds  (9):
  • 2024 - 2029 Novel Bayesian predictive methods for social science
  • 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)
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Papers (22):
  • Genya Kobayashi, Shonosuke Sugasawa, Yuki Kawakubo, Dongu Han, Taeryon Choi. Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses. The Annals of Applied Statistics. 2024. 18. 4
  • Minhyeok Kim, Dongu Han, Eunyoung Ko, Genya Kobayashi, Taeryon Choi. Sequential Monte Carlo ABC: an overview with application to COVID-19 data. Journal of the Korean Statistical Society. 2024
  • 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
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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
Books (1):
  • ベイズデータ解析
    森北出版 2024 ISBN:9784627097032
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):
  • 2008 - 2010 Kobe University Graduate School of Business Administration
  • 2004 - 2008 Kobe University School of Business Administration
  • Kobe University Graduate School of Business Administration
Work history (6):
  • 2024/04 - 現在 Meiji University School of Commerce
  • 2022/04 - 現在 Meiji University School of Commerce
  • 2017/04 - 2022/03 Chiba University
  • 2016/10 - 2017/03 Chiba University
  • 2014/04 - 2016/09 Chiba University
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