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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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 quantitative finance. With over a decade of research on Hidden Markov Models, she has published widely on their applications in stock forecasting, economic modeling, and portfolio management, and collaborates actively with industry partners.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : 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. N° de réf. du vendeur 9781041003717
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Hardcover. Etat : 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. N° de réf. du vendeur 9781041003717
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