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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York
Cambridge University Press
2012
|
| Schlagworte: | |
| Zusammenfassung: | "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"-- |
| Beschreibung: | xxxi, 780 p |
Internformat
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| 520 | |a "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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Datensatz im Suchindex
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| author | Kobayashi, Hisashi |
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| building | Verbundindex |
| bvnumber | BV045252704 |
| collection | ZDB-30-PAD |
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| dewey-full | 519.2/2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/2 |
| dewey-search | 519.2/2 |
| dewey-sort | 3519.2 12 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:12:52Z |
| institution | BVB |
| language | English |
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| physical | xxxi, 780 p |
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| publishDate | 2012 |
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| publisher | Cambridge University Press |
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| spelling | Kobayashi, Hisashi Verfasser aut Probability, random processes, and statistical analysis Hisashi Kobayashi, Brian L. Mark, William Turin Cambridge ; New York Cambridge University Press 2012 xxxi, 780 p txt rdacontent c rdamedia cr rdacarrier "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"-- Stochastic analysis Statistik (DE-588)4056995-0 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Wahrscheinlichkeitstheorie (DE-588)4079013-7 s Statistik (DE-588)4056995-0 s Stochastischer Prozess (DE-588)4057630-9 s 2\p DE-604 Mark, Brian L. 1969- Sonstige oth Turin, William Sonstige oth ProQuest (Firm) Sonstige oth 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kobayashi, Hisashi Probability, random processes, and statistical analysis Stochastic analysis Statistik (DE-588)4056995-0 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4057630-9 (DE-588)4079013-7 (DE-588)4123623-3 |
| title | Probability, random processes, and statistical analysis |
| title_auth | Probability, random processes, and statistical analysis |
| title_exact_search | Probability, random processes, and statistical analysis |
| title_full | Probability, random processes, and statistical analysis Hisashi Kobayashi, Brian L. Mark, William Turin |
| title_fullStr | Probability, random processes, and statistical analysis Hisashi Kobayashi, Brian L. Mark, William Turin |
| title_full_unstemmed | Probability, random processes, and statistical analysis Hisashi Kobayashi, Brian L. Mark, William Turin |
| title_short | Probability, random processes, and statistical analysis |
| title_sort | probability random processes and statistical analysis |
| topic | Stochastic analysis Statistik (DE-588)4056995-0 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| topic_facet | Stochastic analysis Statistik Stochastischer Prozess Wahrscheinlichkeitstheorie Lehrbuch |
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