Research
Published and accepted papers
Kawakubo, Y. and Kobayashi, G. (2023). Small area estimation of general finite-population parameters based on grouped data. Computational Statistics & Data Analysis, 184, 107741. DOI: 10.1016/j.csda.2023.107741
Kobayashi, G., Yamauchi, Y., Kakamu, K., Kawakubo, Y. and Sugasawa, S. (2021). Bayesian approach to Lorenz curve using time series grouped data. Journal of Business & Economic Statistics, 40, 897–912. DOI: 10.1080/07350015.2021.1883438, [arXiv].
Sugasawa, S., Kawakubo, Y. and Ogasawara, K. (2020). Small area estimation with spatially varying natural exponential families. Journal of Statistical Computation and Simulation, 90, 1039–1056. DOI: 10.1080/00949655.2020.1714048, [arXiv]
Sugasawa, S., Kobayashi, G. and Kawakubo, Y. (2020). Estimation and inference for area-wise spatial income distributions from grouped data. Computational Statistics & Data Analysis, 145, 106904. DOI: 10.1016/j.csda.2019.106904, [arXiv]
Sugasawa, S., Kawakubo, Y. and Datta, G.S. (2019). Observed best selective prediction in small area estimation. Journal of Multivariate Analysis, 173, 383–392. DOI: 10.1016/j.jmva.2019.04.002
Sugasawa, S., Kobayashi, G. and Kawakubo, Y. (2019). Latent mixture modeling for clustered data. Statistics and Computing, 29, 537–548. DOI: 10.1007/s11222-018-9821-7, [arXiv]
Kawakubo, Y., Sugasawa, S. and Kubokawa, T. (2018). Conditional Akaike information under covariate shift with application to small area estimation. Canadian Journal of Statistics, 46, 316–335. DOI: 10.1002/cjs.11354, [arXiv]
Kawakubo, Y., Kubokawa, T. and Srivastava, M.S. (2018). A variant of AIC based on the Bayesian marginal likelihood. Sankhya B, 80, 60–84. DOI: 10.1007/s13571-018-0152-7, [arXiv]
Ghosh, M., Kubokawa, T. and Kawakubo, Y. (2015). Benchmarked empirical Bayes methods in multiplicative area-level models with risk evaluation. Biometrika, 102, 647–659. DOI: 10.1093/biomet/asv010
Kawakubo, Y. and Kubokawa, T. (2014). Modified conditional AIC in linear mixed models. Journal of Multivariate Analysis, 129, 44–56. DOI: 10.1016/j.jmva.2014.03.017
Working papers
Kobayashi, G., Sugasawa, S., Kawakubo, Y., Han, D. and Choi, T. "Clustering and Predicting Multiple Time Series Count Data via Mixture of Bayesian Predictive Syntheses: Analysis of COVID-19 Hospitalisation in Japan and Korea", arXiv preprint, arXiv:2308.06134.
Kobayashi, G., Sugasawa, S. and Kawakubo, Y. "Spatio-temporal smoothing, interpolation and prediction of income distributions based on grouped data", arXiv preprint, arXiv:2207.08384.