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…
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

Hidden Markov Models: Methods and Protocols (Methods in Molecular Biology)  eBooks & eLearning

Posted by hill0 at March 5, 2017
Hidden Markov Models: Methods and Protocols (Methods in Molecular Biology)

Hidden Markov Models: Methods and Protocols (Methods in Molecular Biology) by David R. Westhead
English | 18 May 2017 | ISBN: 1493967517 | 232 Pages | PDF | 6.1 MB

This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule,

Deep Time Series Forecasting with Python  eBooks & eLearning

Posted by AlenMiler at Jan. 24, 2017
Deep Time Series Forecasting with Python

Deep Time Series Forecasting with Python: An Intuitive Introduction to Deep Learning for Applied Time Series Modeling by N D Lewis
English | 11 Dec. 2016 | ISBN: 1540809080 | 212 Pages | PDF (True) | 1.58 MB

Master Deep Time Series Forecasting with Python! Deep Time Series Forecasting with Python takes you on a gentle, fun and unhurried practical journey to creating deep neural network models for time series forecasting with Python.

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