Hidden Markov Models For Time Series

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition  eBooks & eLearning

Posted by arundhati at Dec. 9, 2016
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition

Walter Zucchini, Iain L. MacDonald, "Hidden Markov Models for Time Series: An Introduction Using R, Second Edition"
2016 | ISBN-10: 1482253836 | 398 pages | PDF | 46 MB

Hidden Markov Models for Time Series: An Introduction Using R [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 25, 2015
Hidden Markov Models for Time Series: An Introduction Using R [Repost]

Walter Zucchini, Iain L. MacDonald - Hidden Markov Models for Time Series: An Introduction Using R
Published: 2009-04-28 | ISBN: 1584885734 | PDF | 269 pages | 2 MB
Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability)

Hidden Markov Models for Time Series
Walter Zucchini, Iain L. MacDonald | Chapman & Hall/CRC | 2009-04-28 | ISBN:1584885734 | Pages: 269 | PDF | 5.3MB

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.

Stochastic Models for Time Series  eBooks & eLearning

Posted by AvaxGenius at April 17, 2018
Stochastic Models for Time Series

Stochastic Models for Time Series By Paul Doukhan
English | PDF,EPUB | 2018 | 321 Pages | ISBN : 3319769375 | 9.74 MB

This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools of probability and statistics that directly apply to the time series context to obtain a wide range of modelling possibilities. Functional estimation and bootstrap are discussed, and stationarity is reviewed. The second part describes a number of tools from Gaussian chaos and proposes a tour of linear time series models.
Hidden Markov Models for Bioinformatics (Computational Biology) by T. Koski [Repost]

Hidden Markov Models for Bioinformatics (Computational Biology) by T. Koski
English | Nov 30, 2001 | ISBN: 1402001363 | 404 Pages | DJVU | 2 MB

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models…
Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition (repost)

Gernot A. Fink, "Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition"
2014 | ISBN-10: 1447163079 | 300 pages | PDF | 3,8 MB
Neural Networks for Time Series Forecasting with R: An Intuitive Step by Step Blueprint for Beginners

Neural Networks for Time Series Forecasting with R: An Intuitive Step by Step Blueprint for Beginners by N.D Lewis
English | 9 Apr. 2017 | ASIN: B06Y5F38P3 | 238 Pages | PDF | 2.01 MB

Markov Models for Pattern Recognition: From Theory to Applications (2nd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at March 25, 2014
Markov Models for Pattern Recognition: From Theory to Applications (2nd edition) [Repost]

Gernot A. Fink - Markov Models for Pattern Recognition: From Theory to Applications (2nd edition)
Published: 2014-01-28 | ISBN: 1447163079 | PDF | 300 pages | 3 MB

Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition  eBooks & eLearning

Posted by arundhati at Feb. 13, 2014
Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition

Gernot A. Fink, "Markov Models for Pattern Recognition: From Theory to Applications, 2nd edition"
2014 | ISBN-10: 1447163079 | 300 pages | PDF | 3,8 MB

An Introduction to Discrete-Valued Time Series  eBooks & eLearning

Posted by readerXXI at April 12, 2018
An Introduction to Discrete-Valued Time Series

An Introduction to Discrete-Valued Time Series
by Christian H. Weiss
English | 2018 | ISBN: 1119096960 | 304 Pages | ePUB | 12 MB