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A Second Course in Stochastic Processes

This Second Course continues the development of the theory and applications of stochastic processes as promised in the preface of

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XIII Symposium on Probability and Stochastic Processes

This volume features a collection of contributed articles and lecture notes from the XIII Symposium on Probability and Stochastic Processes;

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Stationary Stochastic Processes

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind;

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Stochastic Processes

Based on a highly popular, well-established course taught by the authors, Stochastic Processes: An Introduction, Second Edition discusses;

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Monte-carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Monte-Carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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An Introduction To Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and;

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A First Course in Stochastic Processes

of several classes of stochastic processes not dealt with in the first edition, notably martingales, renewal and fluctuation phenomena associated;

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Introduction to Probability: Models and Applications

; multivariate distributions; the Central Limit Theorem; stochastic processes; and more. The book is ideal for a second course in probability and for;

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Stochastic Processes in Cell Biology

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the;

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Classical and Spatial Stochastic Processes

Stochastic Processes is suitable as a textbook for courses in stochastic processes at the advanced-undergraduate and graduate levels, or as a self;

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Probability and Stochastic Modeling

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

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Probability and Stochastic Modeling

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

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Stochastic Processes in Cell Biology

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. A wide range;

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An Introduction to Stochastic Processes with Applications to Biology

An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the basic theory of stochastic processes;

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Stochastic Processes - Inference Theory

fundamental memoir on stochastic processes and related inference theory. The present volume gives a substantial account of regression analysis, both;

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Options Pricing and Portfolio Optimization

calculus. It would also be suitable for a course in continuous-time finance that assumes familiarity with stochastic processes. The prerequisites;

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Discrete Stochastic Processes

Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time;

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An Introduction to Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory;

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Markov Processes

Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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Introduction to Stochastic Processes

Describes the main features of major stochastic processes, giving definition of basic concepts and presenting key results with rigorous;

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Generalized Stochastic Processes

This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly;

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Introduction to the Theory of Random Processes

of infinitely divisible processes, stochastic integration allows for obtaining a representation of trajectories through jump measures. The Ito;

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Stochastic Processes

This comprehensive guide to stochastic processes gives a complete overview of the theory and addresses the most important applications;

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An Introduction to Continuous-Time Stochastic Processes

This textbook, now in its third edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic;

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