Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python
by Yousri El Fattah, Reza Bagheri
Causal Inference with Bayesian Networks introduces methods for building Bayesian networks and causal inference models with R and Python. It offers a programming-focused exploration of causal analysis, connecting Bayesian modeling with practical computational tools for readers studying data, statistics, and machine learning.
About This Book
Explore causal inference using Bayesian networks and structured graphical models.
Learn approaches for building Bayesian networks and causal inference models.
Use R and Python as practical programming environments for modeling and analysis.
Designed for readers interested in the connection between statistical reasoning, computation, and causal analysis.
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