"Hidden Markov Models for Time Series: An Introduction Using R"

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Book	Author(s)	Year	Publisher
Hidden Markov Models for Time Series: An Introduction Using R	Walter Zucchini; Iain L. MacDonald; Roland Langrock	2016	Routledge
Hidden Markov models for time series: an introduction using R /	Zucchini, W.,; MacDonald, Iain L.,		Taylor & Francis Group
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)	Walter Zucchini, Iain L. MacDonald	2009	Chapman and Hall/CRC
Hidden Markov and other models for discrete-valued time series	Iain L. MacDonald, Walter Zucchini	1997	Chapman & Hall
Introduction to Hidden Semi-Markov Models	John van der Hoek; Robert J. Elliott	2018-02	Cambridge University Press
Mixture and Hidden Markov Models with R	Ingmar Visser; Maarten Speekenbrink	1st ed. 2022	Springer International Publishing
Image Segmentation and Compression Using Hidden Markov Models	Jia Li; Robert M. Gray	2000	Springer US
Hidden Markov Models: Theory and Implementation using Matlab	João Paulo Coelho; Tatiana M. Pinho; José Boaventura-Cunha	2019	Routledge
Dynamic Time Series Models using R-INLA: An Applied Perspective	Nalini Ravishanker; Balaji Raman; Refik Soyer	2022	Routledge
Hidden Semi-Markov Models	Shun-Zheng Yu	2016	Elsevier
Inference in Hidden Markov Models	Olivier Cappé; Eric Moulines; Tobias Ryden	2005	Springer New York
Hidden Markov Models in Finance	Rogemar S. Mamon; Robert J Elliott	2007	Springer US
Hidden Markov Models and Applications	Nizar Bouguila; Wentao Fan; Manar Amayri	1st ed. 2022	Springer International Publishing
Hidden Markov Models: Estimation and Control	Robert J Elliott; Lakhdar Aggoun; John B. Moore	1st ed. 1995	Springer New York
Hidden Markov Models: Methods and Protocols	David R. Westhead; M. S. Vijayabaskar	1st ed. 2017	Springer New York
Hidden Markov models and dynamical systems	Andrew M. Fraser	2008	Society for Industrial and Applied Mathematics
Multiple Decrement Models in Insurance: An Introduction Using R	Shailaja Rajendra Deshmukh	2012	Springer India
Continuous time Markov processes: an introduction	Thomas M. Liggett	2010	American Mathematical Society
Introduction to hidden Markov models and their applications to classification problems	Michail Zambartas	1999	Naval Postgraduate School;Available from National Technical Information Service
Hidden Markov Models: Applications to Financial Economics	Ramaprasad Bhar; Shigeyuki Hamori	2004	Springer US
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Hidden Markov models for binary time series	Andris Abakuks	The Synoptic Problem and Statistics	Andris Abakuks	2014	Routledge
Hidden Markov Models for Individual Time Series	Ingmar Visser; Maartje E. J. Raijmakers; Han L. J. van der Maas	Dynamic Process Methodology in the Social and Developmental Sciences	Jaan Valsiner; Peter C. M. Molenaar; Maria C.D.P. Lyra; Nandita Chaudhary	2009	Springer New York
Time series: from Markov models to hidden Markov models		From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology	Simona Cocco; Rémi Monasson; Francesco Zamponi	2022	Oxford University Press
Hidden Markov Models for Discrete-Valued Time Series	Iain L. MacDonald; Walter Zucchini	Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods	Richard A. Davis; Scott H. Holan; Robert Lund; Nalini Ravishanker	2016	Routledge
Markov Models for Count Time Series	Harry Joe	Handbook of Discrete-Valued Time Series: Handbooks of Modern Statistical Methods	Richard A. Davis; Scott H. Holan; Robert Lund; Nalini Ravishanker	2016	Routledge
Markov Models for Time Series Analysis	Leonhard Held; Daniel Sabanés Bové	Likelihood and Bayesian Inference: With Applications in Biology and Medicine	Leonhard Held; Daniel Sabanés Bové	2nd ed. 2020	Springer Berlin Heidelberg
Introduction to Hidden Markov Models		The Handbook of Data Mining	Nong Ye	2003	Lawrence Erlbaum Associates, Publishers
83 Hidden Markov Time-Series Model		Ecological Forecasting	Dietze, Michael C	2017	Princeton University Press
Hidden Markov Models	Alejandro Dizan Vasquez Govea	Incremental Learning for Motion Prediction of Pedestrians and Vehicles	Alejandro Dizan Vasquez Govea	2010	Springer Berlin Heidelberg
Hidden Markov Models	Javier Hernando	Encyclopedia of Biometrics	Stan Z. Li; Anil K. Jain	2nd ed. 2015	Springer US
Hidden Markov Models	Warren J. Ewens; Gregory R. Grant	Statistical Methods in Bioinformatics: An Introduction	Warren J. Ewens; Gregory R. Grant	2001	Springer New York
Hidden Markov Models	Antal van den Bosch	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Hidden Markov Models	Yariv Ephraim	Encyclopedia of Operations Research and Management Science	Saul I. Gass; Michael C. Fu	3rd ed. 2013	Springer US
Hidden Markov Models	Gernot A. Fink	Markov Models for Pattern Recognition: From Theory to Applications	Gernot A. Fink	2nd ed. 2014	Springer London
Hidden Markov Models	Saeed V. Vaseghi	Advanced Signal Processing and Digital Noise Reduction	Saeed V. Vaseghi	1996	Vieweg+Teubner Verlag
Hidden Markov Models	Marc El-Beze; Bernard Merialdo	Syntactic Wordclass Tagging	H. van Halteren	1999	Springer Netherlands
Hidden Markov Models		Encyclopedic Reference of Genomics and Proteomics in Molecular Medicine	Detlev Ganten; Klaus Ruckpaul	2006	Springer Berlin Heidelberg
Hidden Markov Models	Paul Fieguth	Statistical Image Processing and Multidimensional Modeling	Paul Fieguth	2011	Springer New York
Hidden Markov Models	Harry G. Perros	An Introduction to IoT Analytics	Harry G. Perros	2021	Routledge
Hidden Markov Models	Jason M. Kinser	Modeling and Simulation in Python	Jason M. Kinser	2022	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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