Applied Causal Inference
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Applied Causal Inference
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Author : Uday Kamath
language : en
Publisher: Independently Published
Release Date : 2023-10-06
Applied Causal Inference written by Uday Kamath and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with categories.
Recent advancements in causal inference have made it possible to gain profound insight about our world and the complex systems which operate in it. While industry professionals and academics in every domain ask questions of their data, traditional statistical methods often fall short of providing conclusive answers. This is where causality can help. This book gives readers the tools necessary to use causal inference in applied settings by building from theoretical foundations all the way to hands-on case studies in Python. We wrote this book primarily for the practitioner who knows how to work with data but may not be familiar with causal inference concepts, or how to apply those concepts to real-world problems. Part 1 of the book builds from the basic principles of causal inference to the estimation process and into causal discovery, with accompanying exercises and case studies to reinforce concepts. In Parts 2 and 3, we go deeper into cutting-edge applications of causality in machine learning domains, including computer vision, natural language processing, reinforcement learning, and model fairness. The combination of these focuses makes this book a perfect entrypoint into the world of causality for any machine learning professional.
Causal Inference In Python
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Author : Matheus Facure
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-07-14
Causal Inference In Python written by Matheus Facure and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Computers categories.
How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example. With this book, you will: Learn how to use basic concepts of causal inference Frame a business problem as a causal inference problem Understand how bias gets in the way of causal inference Learn how causal effects can differ from person to person Use repeated observations of the same customers across time to adjust for biases Understand how causal effects differ across geographic locations Examine noncompliance bias and effect dilution
The Data Analyst S Guide To Cause And Effect
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Author : Theiss Bendixen
language : en
Publisher: SAGE Publications
Release Date : 2026-10-06
The Data Analyst S Guide To Cause And Effect written by Theiss Bendixen and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-10-06 with Social Science categories.
Understanding cause-and-effect relationships is essential for credible research and informed decision-making. The Data Analyst’s Guide to Cause and Effect offers a clear, practical roadmap for answering causal questions using both experimental and observational data. Built around the EEESI workflow—Estimand, Estimator, Estimate, Simulation-based Inference—this book provides a systematic approach to defining, estimating, and validating causal effects. Readers will learn to apply modern techniques such as g-methods, inverse probability weighting, poststratification, and multilevel modeling, while tackling challenges like confounding and missing data. With hands-on examples in R, code snippets, and simulation exercises, this guide balances rigor with accessibility. Ideal for graduate courses and applied researchers, it equips readers to move beyond simple associations and make credible causal inferences that inform theory, policy, and practice.
The Data Analyst S Guide To Cause And Effect
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Author : Theiss Bendixen
language : en
Publisher:
Release Date : 2026-10-20
The Data Analyst S Guide To Cause And Effect written by Theiss Bendixen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-10-20 with Political Science categories.
Understanding cause-and-effect relationships is essential for credible research and informed decision-making. The Data Analyst's Guide to Cause and Effect offers a clear, practical roadmap for answering causal questions using both experimental and observational data.Built around the EEESI workflow--Estimand, Estimator, Estimate, Simulation-based Inference--this book provides a systematic approach to defining, estimating, and validating causal effects. Readers will learn to apply modern techniques such as g-methods, inverse probability weighting, poststratification, and multilevel modeling, while tackling challenges like confounding and missing data.With hands-on examples in R, code snippets, and simulation exercises, this guide balances rigor with accessibility. Ideal for graduate courses and applied researchers, it equips readers to move beyond simple associations and make credible causal inferences that inform theory, policy, and practice.
Causality And Probability In The Sciences
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Author : Federica Russo
language : en
Publisher:
Release Date : 2007
Causality And Probability In The Sciences written by Federica Russo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematics categories.
Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disciplines, ranging from epidemiology to biology, from econometrics to physics, make use of probability and statistics in order to infer causal relationships. However, the very foundations of causal inference are up in the air; it is by no means clear which methods of causal inference should be used, nor why they work when they do. This book brings philosophers and scientists together to tackle these important questions. The papers in this volume shed light on the relationship between causality and probability and the application of these concepts within the sciences. With its interdisciplinary perspective and its careful analysis, "Causality and Probability in the Sciences" heralds the transition of causal inference from an art to a science.
Assessment Of Increment In Permanent Monitoring Plots Established To Determine The Effects Of Air Pollution On Forests
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Author : John L. Innes
language : en
Publisher:
Release Date : 1994
Assessment Of Increment In Permanent Monitoring Plots Established To Determine The Effects Of Air Pollution On Forests written by John L. Innes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Air categories.
Applied Statistics For Public Administration
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Author : Kenneth J. Meier
language : en
Publisher: Wadsworth Publishing Company
Release Date : 2002
Applied Statistics For Public Administration written by Kenneth J. Meier and has been published by Wadsworth Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Education categories.
In its first edition, this was the first textbook to be published for methods/statistics courses in Public Administration. Today, Meier and Brudney continue to combine accessibility with an applied approach to presenting research methods. This proven text quickly and easily teaches aspiring public administrators the statistical techniques and methods required in the field.
Pure And Applied Chemistry
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Author :
language : en
Publisher:
Release Date : 2009
Pure And Applied Chemistry written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Chemistry categories.
Vol. 1, no. 1 contains the Proceedings of the Radioactivation Analysis Symposium (1959 : Vienna, Austria).
Statistics And Causality
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Author : Wolfgang Wiedermann
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-20
Statistics And Causality written by Wolfgang Wiedermann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-20 with Social Science categories.
b”STATISTICS AND CAUSALITYA one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.
Aspect And Causal Inferences
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Author : Andreas Hans Schramm
language : en
Publisher:
Release Date : 1998
Aspect And Causal Inferences written by Andreas Hans Schramm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.