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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is
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Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unifi
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Type: BOOK - Published: 2015-04-07 - Publisher: Guilford Publications
This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on c
Language: en
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Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power ana
