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Hisayoshi Nanmo

2 accepted papers

2025

PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects

AAAI 2025technical

For a data-generating process for random variables that can be described with a linear structural equation model, we consider a situation in which (i) a set of covariates satisfying the back-door criterion cannot be observed or (ii) such a set can be observed, but standard statistical estimation met…

Cited by 0SourcePDFScholar
2022

Partially adaptive regularized multiple regression analysis for estimating linear causal effects

UAI 2022poster

This paper assumes that cause-effect relationships among variables can be described with a linear structural equation model. Then, a situation is considered where a set of observed covariates satisfies the back-door criterion but the ordinary least squares method cannot be applied to estimate linear…

Cited by 1SourcePDFScholar