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...
Spremljeno u:
Daljnji autori: | |
---|---|
Format: | Elektronički Poglavlje knjige |
Jezik: | engleski |
Izdano: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
Teme: | |
Online pristup: | DOAB: download the publication DOAB: description of the publication |
Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|
Sažetak: | 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. |
---|---|
Opis fizičkog objekta: | 1 electronic resource (282 p.) |
ISBN: | books978-3-0365-8051-7 9783036580500 9783036580517 |
Pristup: | Open Access |