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2009新书Hidden Markov Models for Time Series: An Introduction Using R

文件格式:Pdf 可复制性:可复制 TAG标签: 时间序列分析 点击次数: 更新时间:2010-04-29 18:46
介绍

Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
by: Walter Zucchini, Iain L. MacDonald

Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability)
By Walter Zucchini, Iain L. MacDonald

Publisher:   Chapman & Hall/CRC
Number Of Pages:   269
Publication Date:   2009-04-28
ISBN-10 / ASIN:   1584885734
ISBN-13 / EAN:   9781584885733

Product Description:

This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology. The authors discuss how to employ the freely available computing environment R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. They provide all of the data sets analyzed in the text online.

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