Stochastics

The subjects of stochastic processes, information theory, and Lie groups are usually treated separately from each other.

William Q.

The Applied and Numerical Harmonic Analysis (ANHA) book series aims to provide the engineering, mathematical, and scienti?

This monograph offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth in recent years.

The aim of this book is to provide, ?

An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks.

Life has many surprises.

This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models.

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite.

This volume, following in the tradition of a similar 2010 publication by the same editors, is an outgrowth of an international conference, "e;Fractals and Related Fields II,"e; held in June 2011.

Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty.

This monograph isdevoted to a special area ofBanach space theory-the Kothe- Bochner function space.

Numerical Methods in Finance have recently emerged as a new discipline at the intersection of probability theory, finance and numerical analysis.

Enrique Castillo is a leading figure in several mathematical and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications.

Introduction to Probability with Statistical Applications targets non-mathematics students, undergraduates and graduates, who do not need an exhaustive treatment of the subject.

The primary focus of this book is on explicating the direct method approach.

Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology.

The theory of dynamic games continues to evolve, and one purpose of this volume is to report a number of recent theoretical advances in the ?

Statistical methods have become an increasingly important and integral part of research in the health sciences.

This book was designed as a text for a ?

The paradigms of dynamic games play an important role in the development of multi-agent models in engineering, economics, and management science.

Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems.

Shapes have been among man's fascinations from thestoneage to thespace age.

Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits.

The book aims at presenting a detailed and mathematically rigorous exposition of the theory and applications of a class of point processes and piecewise deterministic p- cesses.

Stochastic switching systems represent an interesting class of systems that can be used to model a variety of systems having abrupt random changes in their dynamics.

Increasingly, neural networks are used and implemented in a wide range of fields and have become useful tools in probabilistic analysis and prediction theory.

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Advanced Real Analysis systematically develops those concepts and tools in real analysis that are vital to every mathematician, whether pure or applied, aspiring or established.

This book is a systematic, rigorous, and self-consistent introduction to the theory of continuous-time stochastic processes.

Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today.

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The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Vasteras, Sweden, from September 30th to October 2nd 2019 was to showcase the frontiers of research in several important topics of mathematics, mathematical statistics, and its applications.

Hermite's theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid.

The book offers an introduction to the technical foundation of decentralized insurance models, for advanced undergraduate students, graduate students and practitioners.

This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.

Approach your problems from the right end It isn't that they can't see the solution.

The book collects papers on several topics in probability and stochastic processes.

This monograph presents a continuous time macroeconometric model of the United Kingdom incorporating stochastic trends.

A careful exposition of the most fundamental questions in the theory of nonlinear Markov processes.

An advanced treatment of random walks written for students and researchers in probability and related fields.

This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms.

A fully revised and appended edition of this unique volume, which develops together these two important subjects.

New up-to-date edition of this influential classic - the bible on Markov chains in general state spaces is back.

This book provides probabilists with sufficient background to begin applying PDEs to probability theory and probability theory to PDEs.

This book addresses aspects of stochastic quantization for researchers in fields from computational neuroscience through to electronic engineering.

Details the interaction between the two vigorous fields of non-commutative geometry and quantum stochastic processes.