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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 131,96
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 132,50
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 158,83
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EUR 135,42
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Aggiungi al carrelloCondizione: New. Dr. Nguyet (Moon) Nguyen is an Associate Professor of Mathematics at Youngstown State University. She earned her M.S. and Ph.D. in Financial Mathematics from Florida State University and specializes in predictive modeling, data analysis, and quant.
EUR 178,96
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Aggiungi al carrelloHardcover. Condizione: Brand New. 208 pages. 10.00x7.00x10.00 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041003714 ISBN 13: 9781041003717
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition. Their wide range uses make HMMs very attractive to researchers in both academia and industry. Only a basic knowledge of probability, statistics, and programming is necessary, and readers will learn the concepts and algorithms of the HMM through definitions, real-life examples, and R code.Key Features:A comprehensive introduction to the concepts and algorithms of Hidden Markov Models (HMMs)Real-world examples that can be worked through using a calculator or RApplications across disciplines, including finance, bioinformatics, and speech recognitionFully annotated R code for hands-on learning and practical implementation This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition. Their wide range uses make HMMs very attractive to researchers in both academia and industry. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041003714 ISBN 13: 9781041003717
Da: CitiRetail, Stevenage, Regno Unito
EUR 112,02
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition. Their wide range uses make HMMs very attractive to researchers in both academia and industry. Only a basic knowledge of probability, statistics, and programming is necessary, and readers will learn the concepts and algorithms of the HMM through definitions, real-life examples, and R code.Key Features:A comprehensive introduction to the concepts and algorithms of Hidden Markov Models (HMMs)Real-world examples that can be worked through using a calculator or RApplications across disciplines, including finance, bioinformatics, and speech recognitionFully annotated R code for hands-on learning and practical implementation This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition. Their wide range uses make HMMs very attractive to researchers in both academia and industry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2026
ISBN 10: 1041003714 ISBN 13: 9781041003717
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 188,43
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition. Their wide range uses make HMMs very attractive to researchers in both academia and industry. Only a basic knowledge of probability, statistics, and programming is necessary, and readers will learn the concepts and algorithms of the HMM through definitions, real-life examples, and R code.Key Features:A comprehensive introduction to the concepts and algorithms of Hidden Markov Models (HMMs)Real-world examples that can be worked through using a calculator or RApplications across disciplines, including finance, bioinformatics, and speech recognitionFully annotated R code for hands-on learning and practical implementation This book provides fundamental concepts and algorithms of the Hidden Markov Model (HMM) and its applications in finance, such as stock price predictions, and other areas such as speech recognition. Their wide range uses make HMMs very attractive to researchers in both academia and industry. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.