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Probability And Stochastic Processes (Cód: 9236555)

Florescu, Ionut

John Wiley & Sons

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Probability And Stochastic Processes

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Descrição

A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applications With a sophisticated approach, 'Probability and Stochastic Processes' successfully balances theory and applications in a pedagogical and accessible format. The book's primary focus is on key theoretical notions in probability to provide a foundation for understanding concepts and examples related to stochastic processes. Organized into two main sections, the book begins by developing probability theory with topical coverage on probability measure; random variables; integration theory; product spaces, conditional distribution, and conditional expectations; and limit theorems. The second part explores stochastic processes and related concepts including the Poisson process, renewal processes, Markov chains, semi-Markov processes, martingales, and Brownian motion. Featuring a logical combination of traditional and complex theories as well as practices, 'Probability and Stochastic Processes' also includes: Multiple examples from disciplines such as business, mathematical finance, and engineering Chapter-by-chapter exercises and examples to allow readers to test their comprehension of the presented material A rigorous treatment of all probability and stochastic processes concepts An appropriate textbook for probability and stochastic processes courses at the upper-undergraduate and graduate level in mathematics, business, and electrical engineering, 'Probability and Stochastic Processes' is also an ideal reference for researchers and practitioners in the fields of mathematics, engineering, and finance. A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applications With a sophisticated approach, 'Probability and Stochastic Processes' successfully balances theory and applications in a pedagogical and accessible format. The book's primary focus is on key theoretical notions in probability to provide a foundation for understanding concepts and examples related to stochastic processes. Organized into two main sections, the book begins by developing probability theory with topical coverage on probability measure; random variables; integration theory; product spaces, conditional distribution, and conditional expectations; and limit theorems. The second part explores stochastic processes and related concepts including the Poisson process, renewal processes, Markov chains, semi-Markov processes, martingales, and Brownian motion. Featuring a logical combination of traditional and complex theories as well as practices, 'Probability and Stochastic Processes' also includes: Multiple examples from disciplines such as business, mathematical finance, and engineering Chapter-by-chapter exercises and examples to allow readers to test their comprehension of the presented material A rigorous treatment of all probability and stochastic processes concepts An appropriate textbook for probability and stochastic processes courses at the upper-undergraduate and graduate level in mathematics, business, and electrical engineering, 'Probability and Stochastic Processes' is also an ideal reference for researchers and practitioners in the fields of mathematics, engineering, and finance. Ionut Florescu, PhD, is Research Associate Professor of Financial Engineering and Director of the Hanlon Financial Systems Lab at Stevens Institute of Technology. His areas of research interest include stochastic volatility, stochastic partial differential equations, Monte Carlo methods, and numerical methods for stochastic processes. He is also the coauthor of 'Handbook of Probability' and coeditor of 'Handbook of Modeling High-Frequency Data in Finance,' both published by Wiley.

Características

Produto sob encomenda Sim
Marca John Wiley & Sons
Cód. Barras 9780470624555
Altura 23.62 cm
I.S.B.N. 9780470624555
Profundidade 3.56 cm
Referência 018550423
Acabamento Capa dura
Ano da edição 2014
Idioma Inglês
Número de Páginas 551
Peso 0.88 Kg
Largura 16.00 cm
AutorFlorescu, Ionut

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