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Download Probability, Random Processes, and Statistical Analysis by Hisashi Kobayashi, Brian L. Mark, William Turin in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Probability, Random Processes, and Statistical Analysis
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.
Detailed Information
| Author: | Hisashi Kobayashi, Brian L. Mark, William Turin |
|---|---|
| Publication Year: | 2011 |
| ISBN: | 9780521895446 |
| Pages: | 813 |
| Language: | English |
| File Size: | 3.881 |
| Format: | |
| Price: | FREE |
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