Research
Publications in peer-reviewed journals (16)
- Lennox, R.J., Adam, T., Riha, M., Klappstein, N., Monk, C.T., Wiik Vollset, K., and Beumer, L.T. (2024): Movement in 3D: novel opportunities for understanding animal behaviour and space use. Ethology, accepted.
- Adam., T., Ötting, M., and Michels, R. (2024): Markov-switching decision trees. AStA Advances in Statistical Analysis, 108, 461-476.
- Oelschläger, L., Adam, T., and Michels, R. (2024): fHMM: hidden Markov models for financial time series in R. Journal of Statistical Software, 109(9), 1-25.
- Lennox, R.J., Afonso, P., Birnie-Gauvin, K., Dahlmo, L.S., Nilsen, C.I., Arlinghaus, R., Cooke, S.J., Souza, A.T., Jarić, I., Prchalová, M., Říha, M., Westrelin, S., Twardek, W., Aspillaga, E., Kraft, S., Šmejkal, M., Baktoft, H., Brodin, T., Hellström, G., Villegas-Ríos, D., Wiik Vollset, K., Adam, T., Sortland, L.K., Bertram, M.G., Crossa, M., Vogel, E.F., Gillies, N., and Reubens, J. (2023): Electronic tagging and tracking aquatic animals to understand a world increasingly shaped by a changing climate and extreme weather events. Canadian Journal of Fisheries and Acquatic Sciences, 81(3), 326-339.
- Glennie, R., Adam, T., Leos-Barajas, V., Michelot, T., Photopoulou, T., and McClintock, B.T. (2023): Hidden Markov models: pitfalls and opportunities in ecology. Methods in Ecology and Evolution, 14(1), 43-56.
- Oelschläger, L. and Adam, T. (2023): Detecting bearish and bullish markets in financial time series data using hierarchical hidden Markov models. Statistical Modelling, 23(2), 107-126.
- Pohle, J., Adam, T., and Beumer, L. (2022): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. Computational Statistics and Data Analysis, 172, 107479.
- Nathan, R., Monk, C.T., Arlinghaus, R., Adam, T., Alós, J., Assaf, M., Baktoft, H., Beardsworth, C.E., Bertram, M.G., Bijleveld, A.I., Brodin, T., Brooks, J.L., Campos-Candela, A., Cooke, S.J., Gjelland, K.Ø., Gupte, P.R., Harel, R., Hellström, G., Jeltsch, F., Killen, S.S., Klefoth, T., Langrock, R., Lennox, R.J., Lourie, E., Madden, J.R., Orchan, Y., Pauwels, I.S., Říha, M., Roeleke, M., Schlägel, U.E., Shohami, D., Signer, J., Toledo, S., Vilk, O., Westrelin, S., Whiteside, M.A., and Jarić, I. (2022): Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 375(6582), eabg1780.
- Adam, T., Mayr, A., and Kneib, T. (2022): Gradient boosting in Markov-switching generalized additive models for location, scale, and shape. Econometrics and Statistics, 22, 3-16.
- Lennox, R.J., Westrelin, S., Souza, A.T., Šmejkal, M., Říha, M., Prchalová, M., Nathan, R., Monk, C., Koeck, B., Killen, S., Jarić, I., Gjelland, K., Hollins, J., Hellstrom, G., Hansen, H., Cooke, S.J., Boukal, D., Brooks, J.L., Brodin, T., Baktoft, H., Adam, T., and Arlinghaus R. (2021): A role for lakes in revealing the nature of animal movement using high dimensional telemetry systems. Movement Ecology, 9(40), 1-28.
- Nagel, R., Mews, S., Adam, T., Stainfield, C., Fox-Clarke, C., Toscani, C., Langrock, R., Forcada, J., and Hofmann, J.I. (2021): Movement patterns and activity levels are shaped by the neonatal environment in Antarctic fur seal pups. Scientific Reports, 11(14323).
- 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. (2021): Diving deeper into the underlying white shark behaviours at Guadalupe Island, Mexico. Ecology and Evolution, 11(21), 14932-14949.
- Adam, T., Griffiths, C.A., Leos-Barajas, V., Meese, E.N., Lowe, C.G., Blackwell, P.G., Righton, D., and Langrock, R. (2019): Joint modelling of multi-scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution, 10(9), 1536-1550.
- Adam, T., Langrock, R., and Weiß, C.H. (2019): Penalized estimation of flexible hidden Markov models for time series of counts. METRON, 77(2), 87-104.
- Langrock, R., Adam, T., Leos-Barajas, V., Mews, S., Miller, D.L., and Papastamatiou, Y.P. (2018): Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica, 72(3), 179-200.
- Leos-Barajas, V., Gangloff, E.J., Adam, T., Langrock, R., van Beest, F.M., Nabe-Nielsen, J., and Morales, J.M. (2017): Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures. Journal of Agricultural, Biological and Environmental Statistics, 22(3), 232-248.
Preprint (1)
- Byrnes, E.E., Adam, T., Feldmann, C.C., Kaplinskaya, L., Sticker, K., Fredebeul, R.J., Lear, K.O., Morgan, D.L., Beatty, S.J., Langrock, R., and Gleiss, A.C. (2023): Daily time constraints limit behavioural capacity to cope with thermally increased metabolic demands. bioRxiv.
Publications in conference proceedings (10)
- Adam, T., Heide-Jørgensen, M.P., and Ditlevsen, S. (2024): Statistical modelling of narwhal diving behaviour and responses to sound exposure using stochastic differential equations with state-switching coefficients. Proceedings of the 38th International Workshop on Statistical Modelling, 1, 35-38.
- Michels, R., Adam, T., and Ötting, M. (2023): Tree-based regression within a hidden Markov model framework. Book of Short Papers of the 13th Scientific Meeting on Classification and Data Analysis, 1-4.
- Adam, T., Ötting, M., and Michels, R. (2023): State-switching decision trees. Proceedings of the 37th International Workshop on Statistical Modelling, 1, 321-325.
- Adam, T., Glennie, R., and Michelot, T. (2022): State-switching varying-coefficient stochastic differential equations. Proceedings of the 36th International Workshop on Statistical Modelling, 1, 3-7.
- 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., 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.
Dissertation (1)
- Adam, T. (2020): On some flexible extensions of hidden Markov models. Dissertation, Bielefeld University.
Software (2)
- Oelschläger, L., Adam, T., and Michels, R. (2023): fHMM: fitting hidden Markov models to financial data. R package, published on CRAN.
- Adam, T. (2019): countHMM: penalized estimation of flexible hidden Markov models for time series of counts. R package, published on CRAN.
Blog post (1)
- Adam, T. (2022): Hidden Markov models have pitfalls… Methods Blog: the Latest Methods in Ecology and Evolution.
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