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Book
Multivariate exponential families : a concise guide to statistical inference
Authors: ---
ISBN: 3030819000 3030818993 Year: 2021 Publisher: Cham, Switzerland : Springer,


Book
Extreme value theory with applications to natural hazards : from statistical theory to industrial practice
Authors: ---
ISBN: 9783030749422 3030749428 303074941X Year: 2021 Publisher: Cham, Switzerland : Springer,


Book
Closure Properties for Heavy-Tailed and Related Distributions : An Overview
Authors: --- ---
ISBN: 3031345533 3031345525 Year: 2023 Publisher: Cham : Springer Nature Switzerland : Imprint: Springer,

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Abstract

This book provides a compact and systematic overview of closure properties of heavy-tailed and related distributions, including closure under tail equivalence, convolution, finite mixing, maximum, minimum, convolution power and convolution roots, and product-convolution closure. It includes examples and counterexamples that give an insight into the theory and provides numerous references to technical details and proofs for a deeper study of the subject. The book will serve as a useful reference for graduate students, young researchers, and applied scientists.


Book
Integral equation methods for evolutionary PDE : a convolution quadrature approach
Authors: ---
ISBN: 303113219X 3031132203 Year: 2022 Publisher: Cham, Switzerland : Springer,


Book
Weak Convergence and Empirical Processes : With Applications to Statistics
Authors: ---
ISBN: 3031290402 3031290380 Year: 2023 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book provides an account of weak convergence theory, empirical processes, and their application to a wide variety of problems in statistics. The first part of the book presents a thorough treatment of stochastic convergence in its various forms. Part 2 brings together the theory of empirical processes in a form accessible to statisticians and probabilists. In Part 3, the authors cover a range of applications in statistics including rates of convergence of estimators; limit theorems for M− and Z−estimators; the bootstrap; the functional delta-method and semiparametric estimation. Most of the chapters conclude with “problems and complements.” Some of these are exercises to help the reader’s understanding of the material, whereas others are intended to supplement the text. This second edition includes many of the new developments in the field since publication of the first edition in 1996: Glivenko-Cantelli preservation theorems; new bounds on expectations of suprema of empirical processes; new bounds on covering numbers for various function classes; generic chaining; definitive versions of concentration bounds; and new applications in statistics including penalized M-estimation, the lasso, classification, and support vector machines. The approximately 200 additional pages also round out classical subjects, including chapters on weak convergence in Skorokhod space, on stable convergence, and on processes based on pseudo-observations.


Book
Probability and Random Variables: Theory and Applications
Authors: --- --- ---
ISBN: 9783030976798 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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