activity
20122024
most citedOn Identifying Total Effects in the Presence of Latent Variables and Selection bias

8 citations · 14 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2024

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

Hisayoshi Nanmo, Manabu Kuroki

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 satisfyin…

stat.ME2017

Counterfactual Reasoning with Disjunctive Knowledge in a Linear Structural Equation Model

Manabu Kuroki

We consider the problem of estimating counterfactual quantities when prior knowledge is available in the form of disjunctive statements. These include disjunction of conditions (e.…

math.ST2016★ 2 cited

Equivalence between direct and indirect effects with different sets of intermediate variables and covariates

Manabu Kuroki

This paper deals with the concept of equivalence between direct and indirect effects of a treatment on a response using two sets of intermediate variables and covariates. First, we…

stat.ME2012

Selection of Identifiability Criteria for Total Effects by using Path Diagrams

Manabu Kuroki, Zhihong Cai

Pearl has provided the back door criterion, the front door criterion and the conditional instrumental variable (IV) method as identifiability criteria for total effects. In some si…

stat.ME2012

The Graphical Identification for Total Effects by using Surrogate Variables

Manabu Kuroki, Zhihong Cai, Hiroki Motogaito

Consider the case where cause-effect relationships between variables can be described as a directed acyclic graph and the corresponding linear structural equation model. This paper…

cs.AI2012

Counterfactual Reasoning in Linear Structural Equation Models

Zhihong Cai, Manabu Kuroki

Consider the case where causal relations among variables can be described as a Gaussian linear structural equation model. This paper deals with the problem of clarifying how the va…