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2020 – today
- 2023
[j8]Yuki Kawakubo, Genya Kobayashi:
Small area estimation of general finite-population parameters based on grouped data. Comput. Stat. Data Anal. 184: 107741 (2023)- 2022
- [j7]Shonosuke Sugasawa
, Genya Kobayashi:
Robust fitting of mixture models using weighted complete estimating equations. Comput. Stat. Data Anal. 174: 107526 (2022) - 2020
- [j6]Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo:
Estimation and inference for area-wise spatial income distributions from grouped data. Comput. Stat. Data Anal. 145: 106904 (2020)
2010 – 2019
- 2019
- [j5]Genya Kobayashi, Kazuhiko Kakamu:
Approximate Bayesian computation for Lorenz curves from grouped data. Comput. Stat. 34(1): 253-279 (2019) - [j4]Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo:
Latent mixture modeling for clustered data. Stat. Comput. 29(3): 537-548 (2019) - 2016
- [j3]Genya Kobayashi:
Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles. Comput. Stat. 31(1): 49-88 (2016) - 2014
- [j2]Genya Kobayashi:
A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice. Comput. Stat. Data Anal. 80: 167-183 (2014) - 2012
- [j1]Genya Kobayashi, Hideo Kozumi:
Bayesian analysis of quantile regression for censored dynamic panel data. Comput. Stat. 27(2): 359-380 (2012)
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