Sparse Identification of Conditional relationships in Structural Causal Models (SICrSCM) for counterfactual inference-Reference-Cited by-同舟云学术

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Sparse Identification of Conditional relationships in Structural Causal Models (SICrSCM) for counterfactual inference

Published:2022-07 Issue: Volume:69 Page:103295
ISSN:0266-8920
Container-title:Probabilistic Engineering Mechanics
language:en
Short-container-title:Probabilistic Engineering Mechanics

Author:

Correia Daniel,Wilke Daniel N.^ORCID,Schmidt Stephan

Publisher

Elsevier BV

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics

Reference17 articles.

1. Causal inference in statistics: An overview;Pearl;Stat. Surv.,2009

2. Dags with no tears: Continuous optimization for structure learning;Zheng;Adv. Neural Inf. Process. Syst.,2018

3. Multiverse: causal reasoning using importance sampling in probabilistic programming;Perov,2020

4. Deep structural causal models for tractable counterfactual inference;Pawlowski;Adv. Neural Inf. Process. Syst.,2020

5. Learning representations for counterfactual inference;Johansson,2016

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1. Appraising annual post-maintenance functional performance of asphalt roadway based on causal inference approach;International Journal of Pavement Engineering;2024-08-09

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