Causal Inference: 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers

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.

1146133498
Causal Inference: 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers

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.

64.99 In Stock
Causal Inference: 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers

Causal Inference: 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers

Causal Inference: 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers

Causal Inference: 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers

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Overview

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.


Product Details

ISBN-13: 9789819778126
Publisher: Springer-Verlag New York, LLC
Publication date: 10/17/2024
Series: Communications in Computer and Information Science , #2200
Sold by: Barnes & Noble
Format: eBook
File size: 12 MB
Note: This product may take a few minutes to download.

Table of Contents

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.

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