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Hidden Markov Models For Time Series: An Introduction Using R, Second Editi...
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eBay item number:184746199094
Item specifics
- Condition
- Book Title
- Hidden Markov Models For Time Series: An Introduction Using ...
- ISBN
- 9781482253832
- Subject Area
- Mathematics
- Publication Name
- Hidden Markov Models for Time Series : an Introduction Using R, Second Edition
- Publisher
- CRC Press LLC
- Item Length
- 9.5 in
- Subject
- Probability & Statistics / Stochastic Processes, Probability & Statistics / General
- Publication Year
- 2016
- Series
- Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.1 in
- Item Weight
- 24.8 Oz
- Item Width
- 6.4 in
- Number of Pages
- 370 Pages
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1482253836
ISBN-13
9781482253832
eBay Product ID (ePID)
220461603
Product Key Features
Number of Pages
370 Pages
Language
English
Publication Name
Hidden Markov Models for Time Series : an Introduction Using R, Second Edition
Publication Year
2016
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Series
Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
24.8 Oz
Item Length
9.5 in
Item Width
6.4 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2016-008476
Reviews
"The first edition profoundly influenced my research and this new edition adds substantial material on R packages, hidden semi-Markov models and more. The book is a must have for any applied statistician interested in modeling incomplete encounter history or movement data for animals. The simplicity and generality of hidden Markov models make them an elegant solution for many applications and an essential method to have in an applied statistician's toolbox." --Prof.Jeff Laake, Marine Mammal Laboratory, Alaska Fisheries Science Center, Seattle "This book is an essential for all researchers in the area of hidden Markov models and indeed, more generally, in the broad arena of statistical modelling. The theory underpinning hidden Markov models (HMMs) is meticulously delineated and perfectly complemented by a broad range of applications chosen from real-world settings in, for example, finance, zoology and the health sciences. This second edition of the book now includes particularly valuable chapters on recent extensions to HMMs and intriguing new applications in ecology and the environment. Fragments of R code are provided throughout the text and in the Appendix and serve to fix ideas relating to both theory and practice. In summary, the book is a most welcome addition to the statistician's armoury and can be used both as a comprehensive reference work and as a well-crafted textbook." --Linda Haines, Emeritus Professor, Department of Statistical Sciences, University of Cape Town.
Dewey Edition
23
Series Volume Number
150
Illustrated
Yes
Dewey Decimal
519.233
Edition Description
Revised edition,New Edition
Synopsis
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations. The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations. Features Presents an accessible overview of HMMs Explores a variety of applications in ecology, finance, epidemiology, climatology, and sociology Includes numerous theoretical and programming exercises Provides most of the analysed data sets online New to the second edition A total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state process New case studies on animal movement, rainfall occurrence and capture-recapture data
LC Classification Number
QA280.Z83 2016
ebay_catalog_id
4
Copyright Date
2016
Item description from the seller
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eBay item number:184746199094
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