Causal thinking: Uncovering hidden assumptions and interpretations of statistical analysis in building science-Reference-Cited by-同舟云学术

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Causal thinking: Uncovering hidden assumptions and interpretations of statistical analysis in building science

Published:2024-07 Issue: Volume:259 Page:111530
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Sun Ruiji^ORCID,Schiavon Stefano^ORCID,Brager Gail,Arens Edward,Zhang Hui^ORCID,Parkinson Thomas^ORCID,Zhang Chenlu

Funder

University of California Berkeley

University of California Berkeley Center for the Built Environment

Publisher

Elsevier BV

Reference60 articles.

1. The Book of Why: the New Science of Cause and Effect;Pearl,2018

2. The seven tools of causal inference, with reflections on machine learning;Pearl;Commun. ACM,2019

3. Determining lines of equal comfort;Houghten;ASHRAE Trans.,1923

4. Basic Principles of Ventilation and Heating;Bedford,1948

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ten questions concerning statistical data analysis in human-centric buildings research: A focus on thermal comfort investigations;Building and Environment;2024-10

2. Causal Artificial Intelligence–Driven Approach for HVAC Preventive Maintenance Explanation;IEEE Access;2024

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