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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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Computer science Information technology industries approximation theory artificial intelligence BART Bitcoin causal calculus causal discovery causal fairness causal graph causal graphs causal inference causal Inference causal learning causal machine learning causality Chain Event Graphs common hidden cause conditional average treatment effects continuous correct specification doubly robust estimation dynamic systems econometrics software event cognition graphical models grouped data Hawkes process Hellinger distance heterogeneous treatment effects hidden confounder high-dimensional statistics higher-order category theory individualized treatment effects inflation instrumental variable instrumental variables interventions Kullback-Leibler divergence machine learning misspecified models multilevel data multiple treatments n/a neural networks non-Gaussianity piecewise linear probabilistic models regularization responsible data science selection-on-observables semi-parametric theory Stan statistical learning statistics thresholds model time yield spreads
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

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Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Causal Inference for Heterogeneous Data and Information Theory

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