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: 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.
(9683 views)
Book cover: Lectures on Stochastic Differential Equations and Malliavin CalculusLectures on Stochastic Differential Equations and Malliavin Calculus
by - Tata Institute of Fundamental Research
The author's main purpose in these lectures was to study solutions of stochastic differential equations as Wiener functionals and apply to them some infinite dimensional functional analysis. This idea was due to P. Malliavin.
(9545 views)
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.
(14368 views)
Book cover: Lectures on Singular Stochastic PDEsLectures on Singular Stochastic PDEs
by - arXiv
The aim is to introduce the basic problems of non-linear PDEs with stochastic and irregular terms. We explain how it is possible to handle them using two main techniques: the notion of energy solutions and that of paracontrolled distributions.
(6154 views)