Causal Analysis

Name: Causal Analysis
Brand: MIT Press Ltd
SKU: 9780262545914
Price: 73.48 EUR
Availability: InStock

Impact Evaluation and Causal Machine Learning with Applications in R

Автор: Martin Huber

Език:

Корици: С меки корици

Издател: MIT Press Ltd

Наличност: Външен склад

Изпращаме след 14-17 дни

73.48 € 143.71 лв

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including...

Информация за книгата

Автор

Martin Huber

Език

Английски език

Корици

Книга - С меки корици

Издадена

2023

страници

336

EAN

9780262545914

Enbook ID

43194560

Издател

MIT Press Ltd

Теглоt

628

Размери

178 x 229

Пълно описание

A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.

Reasoning about cause and effectthe consequence of doing one thing versus anotheris 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 Hubers accessible approach highlights the intuition and motivation behind various methods while also providing formal discussions of key concepts using statistical notation. Causal Analysis covers several methodological developments not covered in other texts, including new trends in machine learning, the evaluation of interaction or interference effects, and recent research designs such as bunching or kink designs.

Most complete and cutting-edge introduction to causal analysis, including causal machine learning
Clean presentation of rigorous material avoids extraneous detail and emphasizes conceptual analogies over statistical notation
Supplies a range of applications and practical examples using R

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Causal Analysis

Impact Evaluation and Causal Machine Learning with Applications in R

Информация за книгата

Пълно описание

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