Probability, random processes, and statistical analysis

"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 not covered in other textbooks. Advanced topics include: - Bay...

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Hauptverfasser: Kobayashi, Hisashi (VerfasserIn), Mark, Brian L. (VerfasserIn), Turin, William (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Cambridge [u.a.] Cambridge Univ. Press 2012
Ausgabe:1. publ.
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MARC

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245 1 0 |a Probability, random processes, and statistical analysis  |c Hisashi Kobayashi ; Brian L. Mark ; William Turin 
250 |a 1. publ. 
264 1 |a Cambridge [u.a.]  |b Cambridge Univ. Press  |c 2012 
300 |a XXXI, 780 S.  |b graph. Darst. 
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500 |a Includes bibliographical references and index 
520 1 |a "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 not covered in other textbooks. Advanced topics include: - Bayesian inference and conjugate priors - Chernoff bound and large deviation approximation - Principal component analysis and singular value decomposition - Autoregressive moving average (ARMA) time series - Maximum likelihood estimation and the EM algorithm - Brownian motion, geometric Brownian motion, and Ito process - Black-Scholes differential equation for option pricing"-- 
520 1 |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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912 |a ZDB-38-EBR  |a ebook 
999 |a oai:aleph.bib-bvb.de:BVB01-025191642 

Datensatz im Suchindex

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Turin, William
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Turin, William
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dewey-full 519.2
dewey-hundreds 500 - Natural sciences and mathematics
dewey-ones 519 - Probabilities and applied mathematics
dewey-raw 519.2
dewey-search 519.2
dewey-sort 3519.2
dewey-tens 510 - Mathematics
discipline Mathematik
edition 1. publ.
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isbn 9780521895446
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-025191642
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physical XXXI, 780 S. graph. Darst.
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ebook
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publisher Cambridge Univ. Press
record_format marc
spelling Kobayashi, Hisashi Verfasser aut
Probability, random processes, and statistical analysis Hisashi Kobayashi ; Brian L. Mark ; William Turin
1. publ.
Cambridge [u.a.] Cambridge Univ. Press 2012
XXXI, 780 S. graph. Darst.
txt rdacontent
n rdamedia
nc rdacarrier
Includes bibliographical references and index
"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 not covered in other textbooks. Advanced topics include: - Bayesian inference and conjugate priors - Chernoff bound and large deviation approximation - Principal component analysis and singular value decomposition - Autoregressive moving average (ARMA) time series - Maximum likelihood estimation and the EM algorithm - Brownian motion, geometric Brownian motion, and Ito process - Black-Scholes differential equation for option pricing"--
"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"--
Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf
Statistik (DE-588)4056995-0 gnd rswk-swf
Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf
Stochastic analysis
(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
DE-604
Mark, Brian L. Verfasser aut
Turin, William Verfasser aut
Erscheint auch als Online-Ausgabe 978-1-139-18569-1
spellingShingle Kobayashi, Hisashi
Mark, Brian L.
Turin, William
Probability, random processes, and statistical analysis
Stochastischer Prozess (DE-588)4057630-9 gnd
Statistik (DE-588)4056995-0 gnd
Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd
subject_GND (DE-588)4057630-9
(DE-588)4056995-0
(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 Stochastischer Prozess (DE-588)4057630-9 gnd
Statistik (DE-588)4056995-0 gnd
Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd
topic_facet Stochastischer Prozess
Statistik
Wahrscheinlichkeitstheorie
Lehrbuch
work_keys_str_mv AT kobayashihisashi probabilityrandomprocessesandstatisticalanalysis
AT markbrianl probabilityrandomprocessesandstatisticalanalysis
AT turinwilliam probabilityrandomprocessesandstatisticalanalysis