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.

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]  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

Wavelet Methods for Time Series Analysis (Repost)  eBooks & eLearning

Posted by step778 at Jan. 16, 2017
Wavelet Methods for Time Series Analysis (Repost)

Donald B. Percival, Andrew T. Walden, "Wavelet Methods for Time Series Analysis"
2000 | pages: 611 | ISBN: 0521640687 | DJVU | 16,0 mb

Mathematical Methods in Time Series Analysis and Digital Image Processing (repost)  eBooks & eLearning

Posted by interes at Jan. 10, 2017
Mathematical Methods in Time Series Analysis and Digital Image Processing (repost)

Mathematical Methods in Time Series Analysis and Digital Image Processing (Understanding Complex Systems) by Rainer Dahlhaus, Jürgen Kurths, Peter Maass and Jens Timmer
English | 2008-02-01 | ISBN: 3540756310 | 308 pages | PDF | 8,1 MB
Hidden Markov Models in Finance: Further Developments and Applications, Volume II (repost)

Hidden Markov Models in Finance: Further Developments and Applications, Volume II by Rogemar S. Mamon and Robert J. Elliott
English | 2014 | ISBN: 1489974415 | 261 pages | PDF | 4,6 MB

SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series  eBooks & eLearning

Posted by AlenMiler at Oct. 29, 2016
SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series

SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series by Marvin L.
English | 23 Oct. 2016 | ISBN: 1539692310 | 207 Pages | PDF | 1.84 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way.