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Guest editor’s introduction to the special issue on “Hidden Markov Models: Theory and Applications”

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  • Jan Bulla

    (University of Bergen)

  • Roland Langrock

    (Bielefeld University)

  • Antonello Maruotti

    (Libera Università Maria Ss Assunta)

Abstract

No abstract is available for this item.

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  • Jan Bulla & Roland Langrock & Antonello Maruotti, 2019. "Guest editor’s introduction to the special issue on “Hidden Markov Models: Theory and Applications”," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 63-66, August.
    • Handle: RePEc:spr:metron:v:77:y:2019:i:2:d:10.1007_s40300-019-00157-2
    DOI: 10.1007/s40300-019-00157-2
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    References listed on IDEAS

    as
    1. Diana J. Cole, 2019. "Parameter redundancy and identifiability in hidden Markov models," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 105-118, August.
    2. Timo Adam & Roland Langrock & Christian H. Weiß, 2019. "Penalized estimation of flexible hidden Markov models for time series of counts," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 87-104, August.
    3. Tobias Rydén & Timo Teräsvirta & Stefan Åsbrink, 1998. "Stylized facts of daily return series and the hidden Markov model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 217-244.
    4. Jackson, Christopher, 2011. "Multi-State Models for Panel Data: The msm Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i08).
    5. Ruben Amoros & Ruth King & Hidenori Toyoda & Takashi Kumada & Philip J. Johnson & Thomas G. Bird, 2019. "A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 67-86, August.
    6. Visser, Ingmar & Speekenbrink, Maarten, 2010. "depmixS4: An R Package for Hidden Markov Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i07).
    7. Silvia Chiappa & Ulrich Paquet, 2019. "Unsupervised separation of dynamics from pixels," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 119-135, August.
    8. Jüri Lember & Dario Gasbarra & Alexey Koloydenko & Kristi Kuljus, 2019. "Estimation of Viterbi path in Bayesian hidden Markov models," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 137-169, August.
    9. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    Full references (including those not matched with items on IDEAS)

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