KOBAYASHI GENYA    Department   Undergraduate School  , School of Commerce    Position   Professor
Research Period	2018/04～2021/03
Research Topic	Bayesian shape-restricted functional regression with application to economic data
Research Type	KAKENHI Research
Consignor	Japan Society for the Promotion of Science
Research Program Type	Grant-in-Aid for Early-Career Scientists
KAKENHI Grant No.	18K12754
Responsibility	Representative Researcher
Representative Person	Kobayashi Genya
Details	This project considered Bayesian analysis for shape-restricted functional models, particularly, nonlinear quantile regression models, state space SIR model and Lorenz curves, and applied the proposed approaches to some important economic problems, such as female labour, income inequality, and urgent social and economic problem of the spread of COVID-19 and its prediction. Various approaches to introducing shape restriction were considered, for example, Gaussian process, differential equations, parametric families of functions. Centred on those shape-restricted functions, flexible models based on state space models, hierarchical models, nonparametric Bayes models were considered. As related studies, the model for spatial income distributions and mixture model with both flexibility and estimation stability were also considered.