Causal Inference for Heterogeneous Data and Information Theory

<p>The present reprint Causal Inference for Heterogeneous Data and Information Theory is a special issue of Journal <em>Entropy</em>. 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.</p>