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1

Westhead, David R., and M. S. Vijayabaskar, eds. Hidden Markov Models. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6753-7.

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2

Eric, Moulines, and Rydén Tobias 1966-, eds. Inference in hidden Markov models. New York: Springer, 2005.

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3

Cappe, Olivier. Inference in hidden Markov models. New York, NY: Springer, 2005.

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4

Hidden Markov models for bioinformatics. Dordrecht: Kluwer Academic Publishers, 2001.

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5

Elliott, Robert J., and Rogemar S. Mamon. Hidden Markov models in finance. New York: Springer, 2011.

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6

Koski, Timo. Hidden Markov Models for Bioinformatics. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0612-5.

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7

Mamon, Rogemar S., and Robert J. Elliott, eds. Hidden Markov Models in Finance. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/0-387-71163-5.

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8

Cappé, Olivier, Eric Moulines, and Tobias Rydén. Inference in Hidden Markov Models. New York, NY: Springer New York, 2005. http://dx.doi.org/10.1007/0-387-28982-8.

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9

Mamon, Rogemar S., and Robert J. Elliott, eds. Hidden Markov Models in Finance. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-7442-6.

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10

Bouguila, Nizar, Wentao Fan, and Manar Amayri, eds. Hidden Markov Models and Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99142-5.

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11

Hidden Markov models and dynamical systems. Philadelphia: Society for Industrial and Applied Mathematics, 2008.

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12

Elliott, Robert J. Hidden Markov models: Estimation and control. New York: Springer-Verlag, 1995.

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13

Huang, X. D. Hidden Markov models for speech recognition. Edinburgh: Edinburgh University Press, 1990.

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14

Zucchini, Walter, Iain L. MacDonald, and Roland Langrock. Hidden Markov Models for Time Series. Second edition / Walter Zucchini, Iain L. MacDonald, and Roland Langrock. | Boca Raton : Taylor & Francis, 2016. | Series: Monographs on statistics and applied probability ; 150 | “A CRC title.”: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/b20790.

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15

Bhar, Ramaprasad. Hidden Markov models: Applications to financial economics. Boston, Mass: Kluwer Academic Publishers, 2004.

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16

Gollery, Martin. Handbook of hidden Markov models in bioinformatics. Boca Raton: CRC Press, 2008.

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17

Ryan, Matthew Stephen. Dynamic character recognition using Hidden Markov Models. [s.l.]: typescript, 1997.

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18

Gollery, Martin. Handbook of hidden Markov models in bioinformatics. Boca Raton: Chapman & Hall/CRC, 2008.

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19

Li, Jia. Image Segmentation and Compression Using Hidden Markov Models. Boston, MA: Springer US, 2000.

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20

Li, Jia, and Robert M. Gray. Image Segmentation and Compression Using Hidden Markov Models. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4497-5.

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21

Conner, Paul N. Hidden Markov models with improved duration and observation structures. Norwich: University of East Anglia, 1993.

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22

Schenkel, Markus E. Handwriting recognition using neural networks and hidden Markov models. Konstanz: Hartung-Gorre, 1995.

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23

Penny, D. Modeling the covarion model of molecular evolution by hidden Markov chains. Palmerston North, N.Z: Massey University College of Sciences, 1998.

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24

W, Zucchini, ed. Hidden Markov and other models for discrete-valued time series. London: Chapman & Hall, 1997.

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25

Zucchini, W. Hidden Markov models for time series: An introduction using R. Boca Raton: Chapman & Hall/CRC, 2009.

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26

Zambartas, Michail. Introduction to hidden Markov models and their applications to classification problems. Monterey, Calif: Naval Postgraduate School, 1999.

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27

Salfner, Felix. Modeling event-driven time series with generalized hidden semi-Markov models. Berlin: Humboldt-Universität zu Berlin, 2006.

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28

N, Limnios, ed. Semi-Markov chains and hidden semi-Markov models toward applications: Their use in reliability and DNA analysis. New York: Springer, 2008.

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29

Mäntylä, Vesa-Matti. Discrete hidden Markov models with application to isolated user-dependent hand gesture recognition. Espoo [Finland]: Technical Research Centre of Finland, 2001.

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30

Tucker, Brian C. Theory and application of discrete hidden Markov models in plant community ecology and restoration. Sudbury, Ont: Laurentian University, School of Graduate Studies, 2004.

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31

The nonlinear workbook: Chaos, fractals, cellular automata, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, fuzzy logic with C++, Java and symbolic C++ programs. 6th ed. Hackensack, New Jersey: World Scientific, 2015.

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32

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

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33

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 3rd ed. Hackensack, NJ: World Scientific, 2005.

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34

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 5th ed. New Jersey: World Scientific, 2011.

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35

The nonlinear workbook: Chaos, fractals, cellular automata, neural networks, genetic algorithms, gene expression programming, support vector machine, wavelets, hidden Markov models, Fuzzy logic with C++, Java and SymbolicC++ programs. 4th ed. New Jersey: World Scientific, 2008.

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36

Hidden Markov Models. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-0-387-84854-9.

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37

Hidden Markov Models. Boston: Kluwer Academic Publishers, 2004. http://dx.doi.org/10.1007/b109046.

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38

Bunke, Horst, and Terry Caelli. Hidden Markov Models. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/4648.

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39

Hidden Semi-Markov Models. Elsevier, 2016. http://dx.doi.org/10.1016/c2014-0-02508-7.

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40

Cappé, Olivier, Eric Moulines, and Tobias Ryden. Inference in Hidden Markov Models. Springer, 2010.

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41

Koski, T. Hidden Markov Models for Bioinformatics. Springer, 2011.

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42

Zucchini, Walter, and Iain L. MacDonald. Hidden Markov Models for Time Series. Chapman and Hall/CRC, 2009. http://dx.doi.org/10.1201/9781420010893.

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43

Hoek, John van der, and Robert J. Elliott. Introduction to Hidden Semi-Markov Models. Cambridge University Press, 2018.

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44

Hidden Markov Models Estimation And Control. Springer, 2010.

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45

Hidden Markov Models, Theory and Applications. InTech, 2011.

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46

Dymarski, Przemyslaw, ed. Hidden Markov Models, Theory and Applications. InTech, 2011. http://dx.doi.org/10.5772/601.

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47

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-73173-5.

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48

Sun, Shuying. Haplotype inference using a hidden Markov model with efficient Markov chain sampling. 2007, 2007.

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49

Kordi, Kamran. Intelligent character recognition using hidden Markov models. 1990.

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50

Koski, T. Hidden Markov Models of Bioinformatics (Computational Biology). Springer, 2002.

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