Publications

Publications in peer-reviewed scientific journals

Preprints/submitted manuscripts

  • Pohle, J., Adam, T., and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. arXiv, 2101.09197, submitted to Computational Statistics and Data Analysis.

  • Aquino-Baleytó, M., Leos-Barajas, V., Adam, T., Hoyos-Padilla, M., Santana-Morales, O., Galván-Magaña, F., González-Armas, R., Lowe, C.G., Ketchum, J.T., and Villalobos-Ortiz, H. (2020): Diving deeper into the underlying white shark behaviours at Guadalupe Island, Mexico. Submitted to Ecology and Evolution.

Publications in conference proceedings

  • Adam, T. and Oelschläger, L. (2020): Hidden Markov models for multi-scale time series: an application to stock market data. Proceedings of the 35th International Workshop on Statistical Modelling, 1, 2-7.

  • Pohle, J., Adam, T., Beumer, L.T., and Langrock, R. (2020): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. Proceedings of the 35th International Workshop on Statistical Modelling, 1, 189-193.

  • Adam, T., Langrock, R., and Kneib, T. (2019): Model-based clustering of time series data: a flexible approach using non-parametric state-switching quantile regression models. Book of Short Papers of the 12th Scientific Meeting on Classification and Data Analysis, 19-22.

  • Adam, T., Langrock, R., and Weiß, C.H. (2019): Non-parametric inference in hidden Markov models for time series of counts. Proceedings of the 34th International Workshop on Statistical Modelling, 1, 135-140.

  • Adam, T., Mayr, A., Kneib, T., and Langrock, R. (2018): Statistical boosting for Markov-switching distributional regression models. Proceedings of the 33rd International Workshop on Statistical Modelling, 1, 30-35.

  • Adam, T., Leos-Barajas, V., Langrock, R., and van Beest, F.M. (2017): Using hierarchical hidden Markov models for joint inference at multiple temporal scales. Proceedings of the 32nd International Workshop on Statistical Modelling, 2, 181-184.

Software

Thesis

  • Adam, T. (2020): On some flexible extensions of hidden Markov models. Dissertation, Bielefeld University.