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1. Inflation and Seigniorage-Financed Fiscal Deficits: The Case of Mexico. (2024). Moloche, Guillermo.
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2. Optimization Models for Operations and Maintenance of Offshore Wind Turbines Based on Artificial Intelligence and Operations Research: A Systematic Literature Review. (2024). Leite, Ruan Lucas ; de Vasconcelos, Rafael Monteiro ; da Cunha, Priscila ; Aguirre, Mario Orestes ; da Costa, Joao Florencio ; Neto, Joao Agra ; Dos, Eric Lucas ; de Melo, David Cassimiro.
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3. A Perception-Augmented Hidden Markov Model for Parent–Child Relations in Families of Youth with Type 1 Diabetes. (2023). Chen, Zhen ; Nansel, Tonja R ; Lu, Ruijin.
   In: Statistics in Biosciences.
   RePEc:spr:stabio:v:15:y:2023:i:1:d:10.1007_s12561-022-09360-8.

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4. Hidden Markov Model Based on Logistic Regression. (2023). Kim, Yongku ; Park, Joowon ; Lee, Byeongheon.
   In: Mathematics.
   RePEc:gam:jmathe:v:11:y:2023:i:20:p:4396-:d:1265312.

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5. Combining mixed effects hidden Markov models with latent alternating recurrent event processes to model diurnal active–rest cycles. (2023). Barnett, Ian ; Ren, Benny.
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   RePEc:bla:biomet:v:79:y:2023:i:4:p:3402-3417.

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6. Infinite hidden Markov models for multiple multivariate time series with missing data. (2023). Good, Nicholas ; Koslovsky, Matthew D ; Hoskovec, Lauren ; Koehler, Kirsten ; Volckens, John ; Peel, Jennifer L ; Wilson, Ander.
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7. Detecting Consumers Financial Vulnerability using Open Banking Data: Evidence from UK Payday Loans. (2023). Medina-Olivares, Victor ; Calabrese, Raffaella.
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8. A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error. (2022). Mari, Roberto ; Maruotti, Antonello.
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   RePEc:spr:advdac:v:16:y:2022:i:2:d:10.1007_s11634-021-00473-4.

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9. Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models. (2022). Marino, Maria Francesca ; Doretti, Marco ; Montanari, Giorgio Eduardo.
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10. A Mixture Hidden Markov Model to Mine Students’ University Curricula. (2022). Bacci, Silvia ; Bertaccini, Bruno.
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11. Order selection for regression-based hidden Markov model. (2022). Lin, Yiqi ; Song, Xinyuan.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:192:y:2022:i:c:s0047259x22000707.

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12. Kernel-based hidden Markov conditional densities. (2022). Gooijer, Jan G. ; de Gooijer, Jan G ; Henter, Gustav Eje ; Yuan, AO.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:169:y:2022:i:c:s0167947322000111.

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13. 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.
    In: Journal of the Royal Statistical Society Series C.
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14. Hierarchical Markov-switching models for multivariate integer-valued time-series. (2021). di Mari, Roberto ; Catania, Leopoldo.
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    RePEc:eee:econom:v:221:y:2021:i:1:p:118-137.

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15. 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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    RePEc:bla:biomet:v:77:y:2021:i:1:p:78-90.

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16. 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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17. Continuous time hidden Markov model for longitudinal data. (2020). Song, Xinyuan ; Sun, Liuquan ; Zhou, Jie.
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    RePEc:eee:jmvana:v:179:y:2020:i:c:s0047259x2030227x.

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18. Ranking Nursing Homes’ Performances Through a Latent Markov Model with Fixed and Random Effects. (2019). Doretti, Marco ; Montanari, Giorgio E.
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19. Penalized estimation of flexible hidden Markov models for time series of counts. (2019). Adam, Timo ; Langrock, Roland ; Weiss, Christian H.
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20. Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach. (2019). Mark, Tanya ; Bulla, Jan ; Maruotti, Antonello.
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21. Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data. (2019). Xia, Ye-Mao ; Tang, Nian-Sheng.
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    RePEc:eee:csdana:v:132:y:2019:i:c:p:190-211.

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22. 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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23. Practical considerations when analyzing discrete survival times using the grouped relative risk model. (2018). Altman, Rachel Mackay ; Henrey, Andrew.
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24. 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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25. Cartels Uncovered. (2018). Toivanen, Otto ; Steen, Frode ; Hyytinen, Ari.
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26. Rectangular latent Markov models for time-specific clustering. (2017). Zelli, Roberto ; Pittau, Maria Grazia ; Farcomeni, Alessio ; Anderson, Gordon.
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27. 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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28. A multilevel latent Markov model for the evaluation of nursing homes performance. (2017). Bartolucci, Francesco ; Doretti, Marco ; Montanari, Giorgio E.
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29. Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study. (2016). Marino, Maria Francesca ; Alfo, Marco.
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30. S-estimation of hidden Markov models. (2015). Farcomeni, Alessio ; Greco, Luca.
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31. 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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32. 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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33. Multilevel multivariate modelling of legislative count data, with a hidden Markov chain. (2015). Padovano, Fabio ; Lagona, Francesco ; Maruotti, Antonello.
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34. Generalized Linear Mixed Models Based on Latent Markov Heterogeneity Structures. (2015). Farcomeni, Alessio.
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35. Multilevel multivariate modelling of legislative count data, with a hidden Markov chain. (2015). Padovano, Fabio ; Lagona, Francesco ; Maruotti, Antonello.
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36. Multivariate longitudinal data analysis with mixed effects hidden Markov models. (2015). Dubin, Joel A ; Raffa, Jesse D.
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37. Nonparametric inference in hidden Markov models using P-splines. (2015). Kneib, Thomas ; Deruiter, Stacy L ; Langrock, Roland ; Sohn, Alexander .
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38. A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates. (2015). Farcomeni, Alessio ; Bartolucci, Francesco.
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39. 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.
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40. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
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41. 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..
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42. Numerical Maximisation of Likelihood: A Neglected Alternative to EM?. (2014). MacDonald, Iain L..
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43. Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults. (2013). Harris, Tammy ; Kritchevsky, Stephen ; Zhang, Qiang ; Rejeski, Jack ; Ip, Edward.
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44. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2012). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
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45. Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm. (2012). Lavielle, M. ; Delattre, M..
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46. A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects. (2011). Tan, Yong ; Singh, Paramvir ; Youn, Nara.
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47. Hidden Markov models with arbitrary state dwell-time distributions. (2011). Zucchini, W. ; Langrock, R..
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48. Latent Markov Model for Analyzing Temporal Configuration for Violence Profiles and Trajectories in a Sample of Batterers. (2010). .
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49. Cartels Uncovered.. (2010). Toivanen, Otto ; Steen, Frode ; Hyytinen, Ari.
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50. Cartels Uncovered. (2010). Toivanen, Otto ; Steen, Frode ; Hyytinen, Ari.
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51. 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.
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52. A variance component test for mixed hidden Markov models. (2008). Altman, Rachel Mackay.
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53. The likelihood ratio test for hidden Markov models in two-sample problems. (2008). Dannemann, Jorn ; Holzmann, Hajo.
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54. Modeling Time Series of Animal Behavior by Means of a Latent‐State Model with Feedback. (2008). Zucchini, Walter ; MacDonald, Iain L. ; Raubenheimer, David.
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