Causal Inference for Heterogeneous Data and Information Theory

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 leadin...

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Outros Autores: Hlaváčková-Schindler, Kateřina (Editor)
Formato: Recurso Electrónico Capítulo de Livro
Idioma:inglês
Publicado em: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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Descrição
Resumo: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.
Descrição Física:1 electronic resource (282 p.)
ISBN:books978-3-0365-8051-7
9783036580500
9783036580517
Acesso:Open Access