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Causal Inference in Statistics
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
A Hands-On Introduction to Machine Learning
A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.
Demystifying Causal Inference
This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package. High quality R packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch etc. are used in the book. The book is in two parts. The first part begins with a detailed narrative about John Snow’s heroic investigations into the cause of cholera. The chapters that follow cover basic elements of R, regression, and an introdu...
Overcoming the Odds
Each year, millions of high school students consider whether to continue their schooling and attend and complete college. Despite evidence showing that a college degree yields far-reaching benefits, critics of higher education increasingly argue that college “does not pay off” and some students - namely, disadvantaged prospective college goers - would be better served by forgoing higher education. But debates about the value of college often fail to carefully consider what is required to speak knowledgeably about the benefits –what a person’s life might look like had they not completed college, or their college counterfactual. In Overcoming the Odds sociologist Jennie E. Brand reveal...
ECAI 2023
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrat...
The Routledge Handbook of the Computational Mind
Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributor...
Thinking Things Through, second edition
The second edition of a unique introductory text, offering an account of the logical tradition in philosophy and its influence on contemporary scientific disciplines. Thinking Things Through offers a broad, historical, and rigorous introduction to the logical tradition in philosophy and its contemporary significance. It is unique among introductory philosophy texts in that it considers both the historical development and modern fruition of a few central questions. It traces the influence of philosophical ideas and arguments on modern logic, statistics, decision theory, computer science, cognitive science, and public policy. The text offers an account of the history of speculation and argumen...
A Theory of International Organization
International organizations have come to play a central role in world politics. The authors present a major new attempt to explain the difference - and the similarities - between them, as well as their crucial role
Research Handbook on the Sociology of Education
Presenting original contributions from the key experts in the field, the Research Handbook on the Sociology of Education explores the major theoretical, methodological, empirical and political challenges and pressing social questions facing education in current times.
Mastering Probability and Statistics
Unveil the Secrets of Data Analysis and Inference In the realm of data-driven decision-making, probability and statistics are the bedrock of understanding uncertainty, variability, and drawing meaningful conclusions. "Mastering Probability and Statistics" is your definitive guide to unraveling the intricacies of these essential mathematical tools, empowering you to make informed decisions and draw insightful conclusions from data. About the Book: As data becomes increasingly integral to various fields, a solid foundation in probability and statistics becomes a critical asset. "Mastering Probability and Statistics" offers a comprehensive exploration of these core concepts—an indispensable t...
