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Causal inference6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Causal inferenceedited by Xiao-Hua Zhou, Jinzhu Jia.
其他題名:	6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024 : revised selected papers /
其他題名:	PCIC 2024
其他作者:	Zhou, Xiao-Hua.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	ix, 95 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	CausationCongresses.Data processing
電子資源:	https://doi.org/10.1007/978-981-97-7812-6
ISBN:	9789819778126$q(electronic bk.)

Causal inference6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024 : revised selected papers /
Causal inference6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024 : revised selected papers /[electronic resource] :PCIC 2024edited by Xiao-Hua Zhou, Jinzhu Jia. - Singapore :Springer Nature Singapore :2025. - ix, 95 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,22001865-0937 ;. - Communications in computer and information science ;229..

Avoiding the Unconfoundednes Assumption: Counterfactual Inference Considering Unobserved Confounders -- Causal Inference in the Multiverse of Hazard -- A Continuous Structural Intervention Distance to Compare Causal Graphs -- Detection Windows from Hidden Markov Model for Discovering Varying Causal Relations Between Time Series -- Endogenous Confounding in Causal Decomposition Analysis -- Evaluation Criteria for Causal Discovery Without Ground-truth Graphs -- Optimizing Experimental Design for Causal Effect Estimation with Partial Measurements -- Exploring the Use of Q-learning in Causal Inference for Adaptive Interventions.

This book constitutes the revised selected papers of the 6th Pacific Causal Inference Conference, PCIC 2024, held in Shanghai, China, during July 5-6, 2024. The 8 papers included in these proceedings were carefully reviewed and selected from 15 submissions. They aim to promote research and developmental activities in the fields of Causal Inference and Artificial Intelligence.

ISBN: 9789819778126$q(electronic bk.)

Standard No.: 10.1007/978-981-97-7812-6doiSubjects--Topical Terms:

991892
Causation
--Data processing--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Causal inference6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024 : revised selected papers /
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