2 citations · 2 across the 2 of their papers we have counts for
4 papers
Predicting Infection of COVID-19 in Japan: State Space Modeling Approach
Genya Kobayashi, Shonosuke Sugasawa, Hiromasa Tamae +1
The number of confirmed cases of the coronavirus disease (COVID-19) in Japan has been increasing day by day and has had a serious impact on the society especially after the declara…
Bayesian approach to Lorenz curve using time series grouped data
Genya Kobayashi, Yuta Yamauchi, Kazuhiko Kakamu +2
This study is concerned with estimating the inequality measures associated with the underlying hypothetical income distribution from the times series grouped data on the Lorenz cur…
Estimation and inference for area-wise spatial income distributions from grouped data
Shonosuke Sugasawa, Genya Kobayashi, Yuki Kawakubo
Estimating income distributions plays an important role in the measurement of inequality and poverty over space. The existing literature on income distributions predominantly focus…
Small area estimation of general finite-population parameters based on grouped data
Yuki Kawakubo, Genya Kobayashi
This paper proposes a new model-based approach to small area estimation of general finite-population parameters based on grouped data or frequency data, which is often available fr…