Logo

Introduction to Stochastic Processes

Small book cover: Introduction to Stochastic Processes

Introduction to Stochastic Processes
by

Publisher: The University of Texas at Austin
Number of pages: 107

Description:
Contents: Probability review; Mathematica in 15 minutes; Stochastic Processes; The simple random walk; Generating functions; Random walks - advanced methods; Branching processes; Markov Chains; The 'Stochastics' package; Classification of States; More on Transience and recurrence; Absorption and reward; Stationary and Limiting Distribution; Solved Problems.

Download or read it online for free here:
Download link
(2MB, PDF)

Similar books

Book cover: Nonlinear Parameter Estimation: An Integrated System in BasicNonlinear Parameter Estimation: An Integrated System in Basic
by - Marcel Dekker Inc
This book and software collection is intended to help scientists, engineers and statisticians in their work. We have collected various software tools for nonlinear parameter estimation, along with representative example problems.
(14636 views)
Book cover: Applied Stochastic Processes in Science and EngineeringApplied Stochastic Processes in Science and Engineering
by - University of Waterloo
This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. A senior undergraduate course offered to students with a suitably mathematical background.
(7885 views)
Book cover: Stochastic ProcessesStochastic Processes
by - BookBoon
In this book you will find the basic stochastic processes mathematics that is needed by engineers and university students. Topics such as elementary probability calculus, density functions and stochastic processes are illustrated.
(9932 views)
Book cover: Markov Chains and Stochastic StabilityMarkov Chains and Stochastic Stability
by - Springer
The book on the theory of general state space Markov chains, and its application to time series analysis, operations research and systems and control theory. An advanced graduate text and a monograph treating the stability of Markov chains.
(21887 views)