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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 208 pages. 10.00x7.00x10.00 inches. In Stock.
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Añadir al carritoBuch. Condición: Neu. Neuware - 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 R - Applications across disciplines, including finance, bioinformatics, and speech recognition - Fully annotated R code for hands-on learning and practical implementation.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1041003714 ISBN 13: 9781041003717
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 105,06
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Añadir al carritoHardcover. Condición: 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.
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1041003714 ISBN 13: 9781041003717
Librería: CitiRetail, Stevenage, Reino Unido
EUR 102,06
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1041003714 ISBN 13: 9781041003717
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 186,97
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.