Causal Inference for Heterogeneous Data and Information Theory

ISBN 10: 3036580506 / ISBN 13: 9783036580500

Published by MDPI AG, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The present reprint, 'Causal Inference for Heterogeneous Data and Information Theory', is a special issue of Journal Entropy. This Special Issue belongs to the section 'Information Theory, Probability, and Statistics'. The reprint gathers thirteen original contributions of leading experts in the theory of causal inference, focusing namely on the utilization of instrumental variables in a causal model, estimation of average treatment effect, the role of interventions in causal models, graphical causal modeling, causal algebras, causal modeling using the theory of categories, temporal causal model, heterogeneous data, and information-theoretic approaches.

Seller Inventory # 9783036580500

Bibliographic Details

• Title: Causal Inference for Heterogeneous Data and Information Theory
• Publisher: MDPI AG
• Publication Date: 2023
• Language: English
• ISBN 10: 3036580506
• ISBN 13: 9783036580500
• Binding: Buch
• Condition: Neu

About this title

Synopsis

The present reprint, "Causal Inference for Heterogeneous Data and Information Theory", is a special issue of Journal Entropy. This Special Issue belongs to the section "Information Theory, Probability, and Statistics". The reprint gathers thirteen original contributions of leading experts in the theory of causal inference, focusing namely on the utilization of instrumental variables in a causal model, estimation of average treatment effect, the role of interventions in causal models, graphical causal modeling, causal algebras, causal modeling using the theory of categories, temporal causal model, heterogeneous data, and information-theoretic approaches.