𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stochastic Processes

✍ Scribed by Ross S.


Book ID
127449263
Year
1995
Tongue
English
Weight
7 MB
Edition
Second Edition
Category
Library

No coin nor oath required. For personal study only.

✦ Synopsis


A nonmeasure theoretic introduction to stochastic processes. Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems. This revised edition contains additional material on compound Poisson random variables including an identity which can be used to efficiently compute moments; a new chapter on Poisson approximations; and coverage of the mean time spent in transient states as well as examples relating to the Gibb's sampler, the Metropolis algorithm and mean cover time in star graphs. Numerous exercises and problems have been added throughout the text.

✦ Subjects


Теория случайных процессов


📜 SIMILAR VOLUMES


Stochastic Processes
✍ MORAN, P. A. 📂 Article 📅 1950 🏛 Nature Publishing Group 🌐 English ⚖ 129 KB
Stochastic Processes
✍ Emanuel Parzen 📂 Library 📅 1962 🏛 Holden Day 🌐 English ⚖ 2 MB

This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating

Stochastic processes
✍ J. L. Doob 📂 Library 📅 1990 🏛 Wiley-Interscience 🌐 English ⚖ 5 MB

The theory of stochastic processes has developed so much in the last twenty years that the need for a systematic account of the subject has been felt, particularly by students and instructors of probability. This book fills that need. While even elementary definitions and theorems are stated in deta

Stochastic processes
✍ Bochner S. 📂 Library 📅 1947 🌐 English ⚖ 882 KB

This is text of paper from "The Annals of Mathematics", 2nd Ser., Vol. 48, No. 4 (Oct., 1947), 1014-1061.

Stochastic processes
✍ J. L. Doob 📂 Library 📅 1990 🏛 Wiley-Interscience 🌐 English ⚖ 8 MB

The theory of stochastic processes has developed so much in the last twenty years that the need for a systematic account of the subject has been felt, particularly by students and instructors of probability. This book fills that need. While even elementary definitions and theorems are stated in deta

Stochastic processes
✍ Emanuel Parzen 📂 Library 📅 1999 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 4 MB

This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating