5 citations · 6 across the 9 of their papers we have counts for
9 papers
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions
Kazuhiko Shinoda, Takahiro Hoshino
In various fields of data science, researchers are often interested in estimating the ratio of conditional expectation functions (CEFR). Specifically in causal inference problems,…
Estimation of Local Average Treatment Effect by Data Combination
Kazuhiko Shinoda, Takahiro Hoshino
It is important to estimate the local average treatment effect (LATE) when compliance with a treatment assignment is incomplete. The previously proposed methods for LATE estimation…
Bayesian data combination model with Gaussian process latent variable model for mixed observed variables under NMAR missingness
Masaki Mitsuhiro, Takahiro Hoshino
In the analysis of observational data in social sciences and businesses, it is difficult to obtain a "(quasi) single-source dataset" in which the variables of interest are simultan…
Positive-Unlabelled Survival Data Analysis
Tomoki Toyabe, Yasuhiro Hasegawa, Takahiro Hoshino
In this paper, we consider a novel framework of positive-unlabeled data in which as positive data survival times are observed for subjects who have events during the observation ti…
Identification of causal direct-indirect effects without untestable assumptions
Takahiro Hoshino
In causal mediation analysis, identification of existing causal direct or indirect effects requires untestable assumptions in which potential outcomes and potential mediators are i…
Fatigue-Aware Ad Creative Selection
Daisuke Moriwaki, Komei Fujita, Shota Yasui +1
In online display advertising, selecting the most effective ad creative (ad image) for each impression is a crucial task for DSPs (Demand-Side Platforms) to fulfill their goals (cl…
Regression Discontinuity Design with Multiple Groups for Heterogeneous Causal Effect Estimation
Takayuki Toda, Ayako Wakano, Takahiro Hoshino
We propose a new estimation method for heterogeneous causal effects which utilizes a regression discontinuity (RD) design for multiple datasets with different thresholds. The stand…
Semiparametric estimation of heterogeneous treatment effects under the nonignorable assignment condition
Keisuke Takahata, Takahiro Hoshino
We propose a semiparametric two-stage least square estimator for the heterogeneous treatment effects (HTE). HTE is the solution to certain integral equation which belongs to the cl…
Identification and Estimation of Heterogeneous Treatment Effects under Non-compliance or Non-ignorable assignment
Keisuke Takahata, Takahiro Hoshino
We provide sufficient conditions for the identification of the heterogeneous treatment effects, defined as the conditional expectation for the differences of potential outcomes giv…