Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R
Martin Huber, "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R"
English | ISBN: 0262545918 | 2023 | 336 pages | EPUB | 10 MB
English | ISBN: 0262545918 | 2023 | 336 pages | EPUB | 10 MB
A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.
Reasoning about cause and effect—the consequence of doing one thing versus another—is an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of sophisticated causal analysis only deepens. Presenting the most important quantitative methods for evaluating causal effects, this textbook provides graduate students and researchers with a clear and comprehensive introduction to the causal analysis of empirical data. Martin Huber’s accessible approach highlights the intuition and motivation behind various methods while also providing formal discussions of key concepts using statistical notation.
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