Theory of Stochastic Processes

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Format: Hardcover
Pub. Date: 2009-12-30
Publisher(s): Springer Nature
List Price: $106.98

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Summary

This book is a collection of exercises covering all the main topics in the modern theory of stochastic processes and its applications, including finance, actuarial mathematics, queuing theory, and risk theory. The aim of this book is to provide the reader with the theoretical and practical material necessary for deeper understanding of the main topics in the theory of stochastic processes and its related fields. The book is divided into chapters according to the various topics. Each chapter contains problems, hints, solutions, as well as a self-contained theoretical part which gives all the necessary material for solving the problems. References to the literature are also given. The exercises have various levels of complexity and vary from simple ones, useful for students studying basic notions and technique, to very advanced ones that reveal some important theoretical facts and constructions. This book is one of the largest collections of problems in the theory of stochastic processes and its applications. The problems in this book can be useful for undergraduate and graduate students, as well as for specialists in the theory of stochastic processes.

Table of Contents

Definition of stochastic process. Cylinder ¿-algebra, finite-dimensional distributions, the Kolmogorov theoremp. 1
Theoretical groundsp. 1
Bibliographyp. 3
Problemsp. 3
Hintsp. 7
Answers and Solutionsp. 9
Characteristics of a stochastic process. Mean and covariance functions. Characteristic functionsp. 11
Theoretical groundsp. 11
Bibliographyp. 13
Problemsp. 13
Hintsp. 16
Answers and Solutionsp. 17
Trajectories. Modifications. Filiationsp. 23
Theoretical groundsp. 21
Bibliographyp. 24
Problemsp. 24
Hintsp. 29
Answers and Solutionsp. 31
Continuity. Differentiability. Integrabilityp. 33
Theoretical groundsp. 33
Bibliographyp. 34
Problemsp. 34
Hintsp. 38
Answers and Solutionsp. 40
Stochastic processes with independent increments. Wiener and Poisson processes. Poisson point measuresp. 43
Theoretical groundsp. 43
Bibliographyp. 46
Problemsp. 47
Hintsp. 53
Answers and Solutionsp. 54
Gaussian processesp. 59
Theoretical groundsp. 59
Bibliographyp. 61
Problemsp. 62
Hintsp. 66
Answers and Solutionsp. 67
Martingales and related processes in discrete and continuous time. stopping timesp. 71
Theoretical groundsp. 71
Bibliographyp. 79
Problemsp. 79
Hintsp. 93
Answers and Solutionsp. 98
Stationary discrete- and continuous-time processes. Stochastic integral over measure with orthogonal valuesp. 107
Theoretical groundsp. 107
Bibliographyp. 110
Problemsp. 111
Hintsp. 119
Answers and Solutionsp. 122
Prediction and interpolationp. 129
Theoretical groundsp. 129
Bibliographyp. 130
Problemsp. 131
Hintsp. 133
Answers and Solutionsp. 135
Markov chains: Discrete and continuous timep. 137
Theoretical groundsp. 137
Bibliographyp. 140
Problemsp. 140
Hintsp. 152
Answers and Solutionsp. 154
Renewal theory. Queueing theoryp. 159
Theoretical groundsp. 159
Bibliographyp. 162
Problemsp. 162
Hintsp. 169
Answers and Solutionsp. 170
Markov and diffusion processesp. 175
Theoretical groundsp. 175
Bibliographyp. 182
Problemsp. 182
Hintsp. 186
Answers and Solutionsp. 188
Itô stochastic integral. ltô formula. Tanaka formulap. 193
Theoretical groundsp. 193
Bibliographyp. 196
Problemsp. 196
Hintsp. 205
Answers and Solutionsp. 209
Stochastic differential equationsp. 215
Theoretical groundsp. 215
Bibliographyp. 217
Problemsp. 217
Hintsp. 223
Answers and Solutionsp. 225
Optimal stopping of random sequences and processesp. 229
Theoretical groundsp. 229
Bibliographyp. 231
Problemsp. 231
Hintsp. 235
Answers and Solutionsp. 237
Measures in a functional spaces. Weak convergence, probability metrics. Functional limit theoremsp. 241
Theoretical groundsp. 241
Bibliographyp. 250
Problemsp. 250
Hintsp. 259
Answers and Solutionsp. 262
Statistics of stochastic processesp. 271
Theoretical groundsp. 271
Bibliographyp. 281
Problemsp. 281
Hintsp. 286
Answers and Solutionsp. 287
Stochastic processes in financial mathematics (discrete time)p. 303
Theoretical groundsp. 303
Bibliographyp. 306
Problemsp. 306
Hintsp. 310
Answers and Solutionsp. 311
Stochastic processes in financial mathematics (continuous time)p. 315
Theoretical groundsp. 315
Bibliographyp. 317
Problemsp. 317
Hintsp. 322
Answers and Solutionsp. 322
Basic functionals of the risk theoryp. 327
Theoretical groundsp. 327
Bibliographyp. 343
Problemsp. 343
Hintsp. 348
Answers and Solutionstp. 350
Appendixp. 359
List of abbreviationsp. 364
List of probability distributionsp. 364
List of symbolsp. 365
Referencesp. 367
Indexp. 371
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