Stochastics

With this book, which is based on the third edition of a book first written in German about random walks, the author succeeds in a remarkably playf...

With this book, which is based on the third edition of a book first written in German about random walks, the author succeeds in a remarkably playf...

Over the course of his distinguished career, Robert Strichartz (1943-2021) had a substantial impact on the field of analysis with his deep, origina...

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and main...

This proceedings book covers a wide range of topics related to uncertainty analysis and its application in various fields of engineering and scienc...

This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. I...

This book provides the mathematical foundations for the analysis of a class of degenerate elliptic operators defined on manifolds with corners, whi...

The fourth edition of this successful text provides an introduction to probability and random processes, with many practical applications. It is ai...

This book presents a unified description of binding equilibrium for a wide variety of systems focusing on acid-base and coordination chemistry, ads...

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with underg...

Now in its second edition, this book introduces an approach to active system control. This approach, when applied through design and development im...

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large stat...

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stoc...

This book provides a rigorous introduction to the theory, computation, and applications of variational inequalities (VIs), with a focus on applicat...

This book is intended to provide a fast, interdisciplinary introduction to the basic results of p-adic analysis and its connections with mathematic...

This textbook presents measure theory in a concise yet clear manner, providing readers with a solid foundation in the mathematical axiomatic system...

Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding o...

Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and th...

The main challenge in the study of nonautonomous phenomena is to understand the very complicated dynamical behaviour both as a scientific and mathe...

From the Preface: Srinivasa Varadhan began his research career at the Indian Statistical Institute (ISI), Calcutta, where he started as a graduate ...

The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Västerås, Sweden, from September 30th to October...

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces. Drawing inspiration f...