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This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submiss...Savoir plus
This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA)...Savoir plus
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This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function ...Savoir plus
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This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric to...Savoir plus
This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA)...Savoir plus
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in orde...Savoir plus
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in o...Savoir plus
This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submiss...Savoir plus
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for mo...Savoir plus
This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric to...Savoir plus
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning al...Savoir plus
This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with ...Savoir plus