Causal Inference – all Bücher

Machine Learning for Causal Inference

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference,…

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Alex Ruiz de Villa
Causal Inference for Data Science

From the Back Cover:Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal infer…

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Causal Inference and American Political Development

This volume discusses the application of causal inference techniques in the study of American political development (APD). Within political science, a movement focused on increasing the credibility of cau…

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Sharon Schwartz, Seth J Prins
Causal Inference and the People's Health

In Causality and the People's Health, Sharon Schwartz and Seth J. Prins offer both a synthesis of the dominant school of thought around social causality and propose a new approach that keeps causal concep…

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Aboozar Hadavand
Cause, Effect, and Everything in Between

Cause, Effect, and Everything in Between introduces readers to causal inference: the science of cause-and-effect. Using examples and case studies, Aboozar Hadavand provides an accessible introduction to t…

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Aboozar Hadavand
Cause, Effect, and Everything in Between

Cause, Effect, and Everything in Between introduces readers to causal inference: the science of cause-and-effect. Using examples and case studies, Aboozar Hadavand provides an accessible introduction to t…

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Tom Stevenson
Julius Caesar

Gaius Julius Caesar is one of the most influential men to have ever lived. He is inescapable as a figure of power and dominance and may be experienced directly and indirectly in myriad ways. Every day, pe…

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Recent Advancements in Tourism Business, Technology and Social Sciences

The book features the first volume of the proceedings of the 10th International Conference of the International Association of Cultural and Digital Tourism (IACuDiT), with the theme "Recent Advanceme…

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Advanced Computing Techniques in Engineering and Technology

This volume constitutes the proceedings of 2nd International Conference on Advanced Computing Techniques in Engineering & Technology, ACTET 2025, in Jaipur, India, during February 12--13, 2025.The 30 …

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Computational Advances in Bio and Medical Sciences

This book constitutes the refereed proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2023, held in Norman, Oklahoma, USA, during December 11-13…

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Armando Barrientos
Social Protection in Latin America

This open access book offers a comprehensive analysis of social protection in Latin America, its origins, institutions, and outcomes. The chapters are organised in three groups. The earlier chapters discu…

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Simonian Joseph
Computational Global Macro

Computational Global Macro offers investors a new paradigm for the analysis of geopolitical risk. By drawing on game theory, machine learning, and causal inference, the book provides investors with a nove…

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Saniya
Beyond Mediation and Modification: A Deeper Look at Cause and Effect

The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin¿s counterfactual framework of causal inference, general assumptions for causal studies, Pearl¿s gr…

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Juan Guillermo Diaz Ochoa
Complexity Measurements and Causation for Dynamic Complex Systems

This book examines the problems of causal determinism and limited completeness in systems theory. Furthermore, the author analyzes options for complexity measurements that include systems' autonomy and va…

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Paul R. Rosenbaum
An Introduction to the Theory of Observational Studies

This book is an introduction to the theory of causal inference in observational studies. An observational study draws inferences about the effects caused by treatments or preventable exposures when random…

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Chung-Chi Chen, Hiroya Takamura
Agent AI for Finance

This open access book provides an overview of the current state of financial argument mining and financial text generation, and presents the authors' thoughts on the blueprint for NLP in finance in the ag…

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Judea Pearl
The Book of Why

Judea Pearl (Author) Judea Pearl is a world-renowned Israeli-American computer scientist and philosopher, known for his world-leading work in AI and the development of Bayesian networks, as well as his th…

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Zhou Qing
Latent Structure And Causality

Inferring latent structure and causality is crucial for understanding underlying patterns and relationships hidden in the data. This book covers selected models for latent structures and causal networks a…

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