UID:
almahu_9949880510402882
Umfang:
1 online resource (xxviii, 370 pages) :
,
illustrations
Ausgabe:
Second edition.
ISBN:
9781482253849
,
1482253844
,
9781315372488
,
1315372487
Serie:
Monographs on statistics and applied probability ; 150
Inhalt:
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. --
Anmerkung:
Preliminaries: mixtures and Markov chains -- Hidden Markov models: definitions and properties -- Estimation by direct maximization of the likelihood -- Estimation by the EM algorithm -- Model selection and checking -- Bayesian inference for Poisson-hidden Markov models -- R packages -- HMMs with general state-dependent distrubution -- Covariates and other extra dependencies -- Continuous-valued state processes -- Hidden semi-Markov models and their representation as HMMs -- HMMs for longitudinal data -- Introduction to applications -- Epileptic seizures -- Daily rainfall occurrence -- Eruptions of the Old Faithful geyser -- HMMs for animal movement -- Wind direction at Koeberg -- Models for financial series -- Births at Edendale Hospital -- Homicides and suicides in Cape Town, 1986-1991 -- A model for animal behaviour which incorporates feedback -- Estimating the survival rates of Soay sheep from mark-recapture-recovery data.
Weitere Ausg.:
Print version: Zucchini, W. Hidden markov models for time series. Boca Raton : CRC Press, Taylor & Francis Group, [2016] ISBN 9781482253832
Sprache:
Englisch
Schlagwort(e):
Electronic book.
URL:
https://www.taylorfrancis.com/books/9781315372488
URL:
https://www.taylorfrancis.com/books/9781315372488
Bookmarklink
