Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Image 1

£45.85

CRC Press Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Name: Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Brand: CRC Press
Price: 45.85 GBP
Availability: InStock

Biological Science

Price History & Forecast

Last 7 days • 7 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 7 days • 1 price levels

Days at Price

Price Analysis

Most common price: £46 (7 days, 100.0%)

Price range: £46 - £46

Price levels: 1 different prices over 7 days

Description

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

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 103217949X
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 30 September 2021
Listed Since: 05 August 2021

Barcode

No barcode data available

CRC Press Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Time Series: Modeling, Computation, and Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series)

Nonlinear Time Series: Theory, Methods and Applications with R Examples (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Hierarchical Models: With Applications Using R, Second Edition

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Hierarchical Models: With Applications Using R, Second Edition

Environmental and Ecological Statistics with R (Chapman & Hall/CRC Applied Environmental Statistics)

Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition: 68 (Chapman & Hall/CRC Texts in Statistical Science)

Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Inference in Hidden Markov Models

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Event History Analysis with R (Chapman & Hall/CRC The R Series)

Learning Microeconometrics with R (Chapman & Hall/CRC The R Series)

Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Hidden Markov Models: Theory and Implementation using MATLAB®

Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)

Mixture and Hidden Markov Models with R (Use R!)

Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

The Analysis of Time Series: An Introduction with R (Chapman & Hall/CRC Texts in Statistical Science)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)