logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Theory Of Probability And Random Processes Koralov Leonidsinai

  • SKU: BELL-22130934
Theory Of Probability And Random Processes Koralov Leonidsinai
$ 31.00 $ 45.00 (-31%)

4.7

76 reviews

Theory Of Probability And Random Processes Koralov Leonidsinai instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 3.07 MB
Pages: 353
Author: Koralov, Leonid;Sinai, Yakov G
ISBN: 9782012943834, 9783540254843, 9783540688297, 2012943837, 3540254846, 3540688293
Language: English
Year: 2012

Product desciption

Theory Of Probability And Random Processes Koralov Leonidsinai by Koralov, Leonid;sinai, Yakov G 9782012943834, 9783540254843, 9783540688297, 2012943837, 3540254846, 3540688293 instant download after payment.

A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this book
It is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.
This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Related Products