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stat.ME2022
Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior
Shunsuke Horii
We study the problem of sequential experimental design to estimate the parametric component of a partially linear model with a Gaussian process prior. We consider an active learnin…
stat.ME2022
Heterogeneous Treatment Effect Estimation based on a Partially Linear Nonparametric Bayes Model
Shunsuke Horii
Recently, conditional average treatment effect (CATE) estimation has been attracting much attention due to its importance in various fields such as statistics, social and biomedica…