Download EBOOK Hidden Markov Models for Time Series: An Introduction Using R PDF for free


Download EBOOK Hidden Markov Models for Time Series: An Introduction Using R PDF for free Category: Science & Geography
The author of the book: Iain L. MacDonald
Format files: PDF, EPUB, TXT, DOCX
The size of the: 654 KB
Language: English
ISBN-13: 9781584885733
Edition: Chapman & Hall/CRC
Date of issue: 30 April 2009

Description of the book "Hidden Markov Models for Time Series: An Introduction Using R":

Reveals How HMMs Can Be Used as General-Purpose Time Series Models Implements all methods in R Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. Illustrates the methodology in action After presenting the simple Poisson HMM, the book covers estimation, forecasting PDF, decoding, prediction, model selection, and Bayesian inference. Through examples and applications, the authors describe how to extend and generalize the basic model so it can be applied in a rich variety of situations. They also provide R code for some of the examples, enabling the use of the codes in similar applications. Effectively interpret data using HMMs This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It provides a broad understanding of the models and their uses.

Download EBOOK Hidden Markov Models for Time Series: An Introduction Using R PDF for free


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Iain L. MacDonald

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Download EBOOK Hidden Markov Models for Time Series: An Introduction Using R PDF for free



Download EBOOK Hidden Markov Models for Time Series: An Introduction Using R for free

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