8 Publikationen

Alle markieren

[8]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941675
Adam, T., Langrock, R., & Weiß, C. (2019). Nonparametric Inference in Hidden Markov Models for Time Series of Counts. Proceedings of the 34th International Workshop on Statistical Modelling, Volume I, 135-140.
PUB
 
[7]
2019 | Konferenzbeitrag | PUB-ID: 2941674
Adam, T., Langrock, R., & Kneib, T. (2019). Model-based Clustering of Time Series Data: a Flexible Approach using Nonparametric State-switching Quantile Regression Models. Proceedings of the 12th Scientific Meeting on Classification and Data Analysis, 19-22.
PUB
 
[6]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937689
Adam, T., Griffiths, C. A., Leos-Barajas, V., Meese, E. N., Lowe, C. G., Blackwell, P. G., Righton, D., et al. (2019). Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution, 10(9), 1536-1550. doi:10.1111/2041-210x.13241
PUB | DOI | WoS
 
[5]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936764
Adam, T., Langrock, R., & Weiß, C. H. (2019). Penalized estimation of flexible hidden Markov models for time series of counts. Metron, 77(2), 87-104. doi:10.1007/s40300-019-00153-6
PUB | DOI | WoS
 
[4]
2018 | Konferenzbeitrag | PUB-ID: 2933002
Adam, T., Mayr, A., Kneib, T., & Langrock, R. (2018). Statistical boosting for Markov-switching distributional regression models. Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1, 30-35.
PUB
 
[3]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816
Langrock, R., Adam, T., Leos-Barajas, V., Mews, S., Miller, D. L., & Papastamatiou, Y. P. (2018). Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica, 72(3), 179-200. doi:10.1111/stan.12133
PUB | DOI | Download (ext.) | WoS
 
[2]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894
Adam, T., Leos-Barajas, V., Langrock, R., & van Beest, F. (2017). Using hierarchical hidden Markov models for joint inference at multiple temporal scales. In M. Grzegorczyk & G. Ceoldo (Eds.), Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017 Groningen: Univ. of Groningen.
PUB
 
[1]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528
Leos-Barajas, V., Gangloff, E. J., Adam, T., Langrock, R., van Beest, F. M., Nabe-Nielsen, J., & 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. doi:10.1007/s13253-017-0282-9
PUB | DOI | WoS
 

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8 Publikationen

Alle markieren

[8]
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941675
Adam, T., Langrock, R., & Weiß, C. (2019). Nonparametric Inference in Hidden Markov Models for Time Series of Counts. Proceedings of the 34th International Workshop on Statistical Modelling, Volume I, 135-140.
PUB
 
[7]
2019 | Konferenzbeitrag | PUB-ID: 2941674
Adam, T., Langrock, R., & Kneib, T. (2019). Model-based Clustering of Time Series Data: a Flexible Approach using Nonparametric State-switching Quantile Regression Models. Proceedings of the 12th Scientific Meeting on Classification and Data Analysis, 19-22.
PUB
 
[6]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937689
Adam, T., Griffiths, C. A., Leos-Barajas, V., Meese, E. N., Lowe, C. G., Blackwell, P. G., Righton, D., et al. (2019). Joint modelling of multi‐scale animal movement data using hierarchical hidden Markov models. Methods in Ecology and Evolution, 10(9), 1536-1550. doi:10.1111/2041-210x.13241
PUB | DOI | WoS
 
[5]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936764
Adam, T., Langrock, R., & Weiß, C. H. (2019). Penalized estimation of flexible hidden Markov models for time series of counts. Metron, 77(2), 87-104. doi:10.1007/s40300-019-00153-6
PUB | DOI | WoS
 
[4]
2018 | Konferenzbeitrag | PUB-ID: 2933002
Adam, T., Mayr, A., Kneib, T., & Langrock, R. (2018). Statistical boosting for Markov-switching distributional regression models. Proceedings of the 33rd International Workshop on Statistical Modelling, Vol. 1, 30-35.
PUB
 
[3]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916816
Langrock, R., Adam, T., Leos-Barajas, V., Mews, S., Miller, D. L., & Papastamatiou, Y. P. (2018). Spline-based nonparametric inference in general state-switching models. Statistica Neerlandica, 72(3), 179-200. doi:10.1111/stan.12133
PUB | DOI | Download (ext.) | WoS
 
[2]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913894
Adam, T., Leos-Barajas, V., Langrock, R., & van Beest, F. (2017). Using hierarchical hidden Markov models for joint inference at multiple temporal scales. In M. Grzegorczyk & G. Ceoldo (Eds.), Proceedings of the 32nd International Workshop on Statistical Modelling, Vol. 2, Groningen, Netherlands 3-7 July, 2017 Groningen: Univ. of Groningen.
PUB
 
[1]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911528
Leos-Barajas, V., Gangloff, E. J., Adam, T., Langrock, R., van Beest, F. M., Nabe-Nielsen, J., & 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. doi:10.1007/s13253-017-0282-9
PUB | DOI | WoS
 

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Zitationsstil: apa

Export / Einbettung