Overview
- Critically reviews the use of directed graphical models to study causality, explicit formulation of the conditions
- Includes methods for coordinate-free analysis of multivariate categorical data, as well as relational models
- Presents mathematically rigorous fundamentals of the theory of marginal models, emphasizing structure over stochastic
Part of the book series: Springer Texts in Statistics (STS)
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About this book
This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life sciences. It presents an intuitive and unified discussion of an array of themes in categorical data analysis, and the emphasis on structure over stochastics renders many of the methods applicable in machine learning environments and for the analysis of big data.
The book focuses on graphical models, their application in causal analysis, the analytical properties of parameterizations of multivariate discrete distributions, marginal models, and coordinate-free relational models. To guide the readers in future research, the volume provides references to original papers and also offers detailed proofs of most of the significant results. Like the previous volume, it features exercises and research questions, making it appropriate for graduate students, as well as for active researchers.
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Tamás Rudas is Professor Emeritus in the Department of Statistics of the Faculty of Social Sciences, Eötvös Loránd University, Budapest. He is also an Affiliate Professor in the Department of Statistics, University of Washington, Seattle. He is a Fellow of the European Academy of Sociology and a former President of the European Association of Methodology. He was Founding Dean of the Faculty of Social Sciences of the Eötvös Loránd University and has held visiting positions in several statistics departments in the US and Europe. Dr. Rudas' publications include Lectures on Categorical Data Analysis (Springer 2018). His research deals with methods for the analysis of categorical data, including generalizations of the log-linear model like marginal and relational models, the assessment of model fit, and topics in survey statistics.
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Bibliographic Information
Book Title: Lectures on Advanced Topics in Categorical Data Analysis
Authors: Tamás Rudas
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-3-031-55855-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-55854-2Published: 17 December 2024
Softcover ISBN: 978-3-031-55857-3Due: 31 December 2025
eBook ISBN: 978-3-031-55855-9Published: 16 December 2024
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 1
Number of Pages: XII, 377
Number of Illustrations: 25 b/w illustrations, 4 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Social Sciences, Humanities, Law, Biostatistics