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, inequalit...
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| Tác giả chính: | |
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| Tác giả của công ty: | |
| Tác giả khác: | , |
| Định dạng: | Điện tử eBook |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Cambridge ; New York :
Cambridge University Press,
2012.
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| Những chủ đề: | |
| Truy cập trực tuyến: | An electronic book accessible through the World Wide Web; click to view |
| Các nhãn: |
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| Tóm tắt: | "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 It's 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"-- |
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| Mô tả vật lý: | xxxi, 780 p. |
| Thư mục: | Includes bibliographical references and index. |