Probability, Random Processes, and Statistical Analysis

Probability, Random Processes, and Statistical Analysis

EnglishEbook
Kobayashi, Hisashi
Cambridge University Press
EAN: 9781139179591
Available online
CZK 2,185
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Detailed information

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 Ito process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum-Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks 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.
EAN 9781139179591
ISBN 1139179594
Binding Ebook
Publisher Cambridge University Press
Publication date December 15, 2011
Language English
Country Uruguay
Authors Kobayashi, Hisashi; Mark, Brian L.; Turin, William
Manufacturer information
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