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Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
RePEc:spr:testjl:v:23:y:2014:i:3:p:433-465.

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  24. Rectangular latent Markov models for time-specific clustering. (2017). Zelli, Roberto ; Pittau, Maria Grazia ; Farcomeni, Alessio ; Anderson, Gordon.
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  33. Comments on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Speekenbrink, Maarten ; Visser, Ingmar.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:23:y:2014:i:3:p:478-483.

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  34. Comments on: Latent Markov models: a review of the general framework for the analysis of longitudinal data with covariates. (2014). Bockenholt, Ulf ; McShane, Blakeley .
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:23:y:2014:i:3:p:469-472.

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  8. A Mixture Hidden Markov Model to Mine Students’ University Curricula. (2022). Bacci, Silvia ; Bertaccini, Bruno.
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  9. Order selection for regression-based hidden Markov model. (2022). Lin, Yiqi ; Song, Xinyuan.
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  10. Quantile mixed hidden Markov models for multivariate longitudinal data: An application to childrens Strengths and Difficulties Questionnaire scores. (2022). Petrella, Lea ; Tzavidis, Nikos ; Merlo, Luca.
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  11. Hierarchical Markov-switching models for multivariate integer-valued time-series. (2021). di Mari, Roberto ; Catania, Leopoldo.
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  12. Bayesian latent multi‐state modeling for nonequidistant longitudinal electronic health records. (2021). Luo, YU ; Buckeridge, David L ; Stephens, David A ; Verma, Aman.
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  13. Directionally dependent multi-view clustering using copula model. (2020). Karimi, Mostafa ; Afrin, Kahkashan ; Mallick, Bani K ; Iquebal, Ashif S ; Souris, Allyson ; Lee, Seyoon.
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  14. Continuous time hidden Markov model for longitudinal data. (2020). Song, Xinyuan ; Sun, Liuquan ; Zhou, Jie.
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  18. Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations. (2019). Zelli, Roberto ; Pittau, Maria Grazia ; Farcomeni, Alessio ; Anderson, Gordon.
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  19. Practical considerations when analyzing discrete survival times using the grouped relative risk model. (2018). Altman, Rachel Mackay ; Henrey, Andrew.
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  20. Spline‐based nonparametric inference in general state‐switching models. (2018). Papastamatiou, Yannis P ; Leosbarajas, Vianey ; Adam, Timo ; Mews, Sina ; Langrock, Roland ; Miller, David L.
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  21. Cartels Uncovered. (2018). Toivanen, Otto ; Steen, Frode ; Hyytinen, Ari.
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  22. Rectangular latent Markov models for time-specific clustering. (2017). Zelli, Roberto ; Pittau, Maria Grazia ; Farcomeni, Alessio ; Anderson, Gordon.
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  23. Identifying dynamic knowledge flow patterns of business method patents with a hidden Markov model. (2017). An, Yoonjung ; Park, Yongtae ; Han, Mintak.
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  24. A multilevel latent Markov model for the evaluation of nursing homes performance. (2017). Bartolucci, Francesco ; Doretti, Marco ; Montanari, Giorgio E.
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  25. Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study. (2016). Marino, Maria Francesca ; Alfo, Marco.
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  26. S-estimation of hidden Markov models. (2015). Farcomeni, Alessio ; Greco, Luca.
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  27. Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition. (2015). Marino, Maria ; Alfo, Marco.
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  28. Using mixed hidden Markov models to examine behavioral states in a cooperatively breeding bird. (2015). Langrock, Roland ; Walters, Jeffrey R ; Kesler, Dylan C ; McKellar, Ann E.
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  29. Multilevel multivariate modelling of legislative count data, with a hidden Markov chain. (2015). Padovano, Fabio ; Lagona, Francesco ; Maruotti, Antonello.
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  30. Generalized Linear Mixed Models Based on Latent Markov Heterogeneity Structures. (2015). Farcomeni, Alessio.
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  31. Multilevel multivariate modelling of legislative count data, with a hidden Markov chain. (2015). Padovano, Fabio ; Lagona, Francesco ; Maruotti, Antonello.
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    RePEc:bla:jorssa:v:178:y:2015:i:3:p:705-723.

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  32. Multivariate longitudinal data analysis with mixed effects hidden Markov models. (2015). Dubin, Joel A ; Raffa, Jesse D.
    In: Biometrics.
    RePEc:bla:biomet:v:71:y:2015:i:3:p:821-831.

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  33. Nonparametric inference in hidden Markov models using P-splines. (2015). Kneib, Thomas ; Deruiter, Stacy L ; Langrock, Roland ; Sohn, Alexander .
    In: Biometrics.
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  34. A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates. (2015). Farcomeni, Alessio ; Bartolucci, Francesco.
    In: Biometrics.
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  35. Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:23:y:2014:i:3:p:484-486.

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  36. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:23:y:2014:i:3:p:433-465.

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  37. Modelling species abundance in a river by Negative Binomial hidden Markov models. (2014). Cooksley, S. L. ; Brewer, M. J. ; Spezia, L. ; Donnelly, D. ; Tree, A..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:71:y:2014:i:c:p:599-614.

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  38. Numerical Maximisation of Likelihood: A Neglected Alternative to EM?. (2014). MacDonald, Iain L..
    In: International Statistical Review.
    RePEc:bla:istatr:v:82:y:2014:i:2:p:296-308.

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  39. Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults. (2013). Harris, Tammy ; Kritchevsky, Stephen ; Zhang, Qiang ; Rejeski, Jack ; Ip, Edward.
    In: Journal of the American Statistical Association.
    RePEc:taf:jnlasa:v:108:y:2013:i:502:p:370-384.

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  40. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2012). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
    In: MPRA Paper.
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  41. Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm. (2012). Lavielle, M. ; Delattre, M..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:56:y:2012:i:6:p:2073-2085.

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  42. A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects. (2011). Tan, Yong ; Singh, Paramvir ; Youn, Nara.
    In: Information Systems Research.
    RePEc:inm:orisre:v:22:y:2011:i:4:p:790-807.

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  43. Hidden Markov models with arbitrary state dwell-time distributions. (2011). Zucchini, W. ; Langrock, R..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:55:y:2011:i:1:p:715-724.

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  44. Latent Markov Model for Analyzing Temporal Configuration for Violence Profiles and Trajectories in a Sample of Batterers. (2010). .
    In: Sociological Methods & Research.
    RePEc:sae:somere:v:39:y:2010:i:2:p:222-255.

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  45. Cartels Uncovered.. (2010). Toivanen, Otto ; Steen, Frode ; Hyytinen, Ari.
    In: Discussion Paper Series in Economics.
    RePEc:hhs:nhheco:2010_010.

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  46. Cartels Uncovered. (2010). Toivanen, Otto ; Steen, Frode ; Hyytinen, Ari.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:7761.

    Full description at Econpapers || Download paper

  47. Markov and Semi-Markov Switching Linear Mixed Models Used to Identify Forest Tree Growth Components. (2010). Guedon, Yann ; Chaubert-Pereira, Florence ; Lavergne, Christian ; Trottier, Catherine.
    In: Biometrics.
    RePEc:bla:biomet:v:66:y:2010:i:3:p:753-762.

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  48. A variance component test for mixed hidden Markov models. (2008). Altman, Rachel Mackay.
    In: Statistics & Probability Letters.
    RePEc:eee:stapro:v:78:y:2008:i:13:p:1885-1893.

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  49. The likelihood ratio test for hidden Markov models in two-sample problems. (2008). Dannemann, Jorn ; Holzmann, Hajo.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:52:y:2008:i:4:p:1850-1859.

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  50. Modeling Time Series of Animal Behavior by Means of a Latent‐State Model with Feedback. (2008). Zucchini, Walter ; MacDonald, Iain L. ; Raubenheimer, David.
    In: Biometrics.
    RePEc:bla:biomet:v:64:y:2008:i:3:p:807-815.

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