Logo

Probability Theory and Stochastic Processes with Applications

Large book cover: Probability Theory and Stochastic Processes with Applications

Probability Theory and Stochastic Processes with Applications
by

Publisher: Overseas Press
ISBN/ASIN: 8189938401
ISBN-13: 9788189938406
Number of pages: 382

Description:
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, Vlasov dynamics, multi-dimensional moment problems, random maps, etc.

Home page url

Download or read it online for free here:
Download link
(27MB, PDF)

Similar books

Book cover: Synchronization and Linearity: An Algebra for Discrete Event SystemsSynchronization and Linearity: An Algebra for Discrete Event Systems
by - John Wiley & Sons
Presents new modelling and analysis techniques for the description of discrete event dynamic systems. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of system.
(13895 views)
Book cover: Stochastic Differential Equations: Models and NumericsStochastic Differential Equations: Models and Numerics
by - KTH
The goal of this course is to give useful understanding for solving problems formulated by stochastic differential equations models in science, engineering and finance. Typically, these problems require numerical methods to obtain a solution.
(7810 views)
Book cover: Introduction to Stochastic ProcessesIntroduction to Stochastic Processes
by - The University of Texas at Austin
Contents: Probability review; Mathematica in 15 minutes; Stochastic Processes; Simple random walk; Generating functions; Random walks - advanced methods; Branching processes; Markov Chains; The 'Stochastics' package; Classification of States; etc.
(7885 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.
(22200 views)