Probability, Random Processes, and Statistical Analysis PDF – Free Download

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Probability, Random Processes, and Statistical Analysis: Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance pdf offers a fresh look at what would have otherwise been a jaded topic the author of Probability, Random Processes, and Statistical Analysis: Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance pdf book draws on a vast knowledge bank of insights and experience to execute this work.

Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum-Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, queueing and loss networks, and are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials, and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals. Professor Hisashi Kobayashi discusses the book:

Publisher ‏ : ‎ Cambridge University Press; 1st edition (February 13, 2012)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 812 pages
ISBN-10 ‏ : ‎ 0521895448
ISBN-13 ‏ : ‎ 978-0521895446
Item Weight ‏ : ‎ 3.75 pounds
Dimensions ‏ : ‎ 7 x 1.6 x 10 inches

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