Talks and presentations

Talks

Efficient estimation of nonparametric Markov-switching models
17. December 2025, NCSE Meeting 2025, St Andrews, Scotland

Fast approximate likelihood inference for indirectly observed hidden Markov models
16. December 2025, Colloquium of the Center for Statistics, Bielefeld University

Automatic and efficient selection of multiple LASSO penalties for complex likelihood models
27. November 2025, Young Researchers Workshop of the Center for Statistics, Bielefeld University, Germany

Hidden semi-Markov models with inhomogeneous state dwell-time distributions
25. November 2025, MIAT Seminar, INRAE, Toulouse, France

Efficient estimation of nonparametric Markov-switching models
6. October 2025, Statistics Seminar, Edinburgh, Scotland

Efficient estimation of nonparametric Markov-switching models
3. September 2025, Statistical Week 2025, Wiesbaden, Germany

Latent Markov models in Ecology: A unifying perspective
12. June 2025, Nordic-Baltic Biometric Conference, Oslo, Norway

Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
5. January 2025, Statistics Seminar, St Andrews, Scotland

Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
24. September 2024, Statistics Seminar, Göttingen, Germany

Exploring hidden dynamics: statistical inference in periodically inhomogeneous hidden Markov models for animal behaviour
4. September 2024, Royal Statistical Society Conference, Brighton, UK

Inference on the state process of periodically inhomogeneous hidden Markov models for animal behaviour
17. July 2024, International Statistical Ecology Conference, Swansea, Wales

Inference on the state process of periodically inhomogeneous hidden Markov models
16. February 2024, Young Researchers Workshop of the Center for Statistics, Bielefeld University
I held a short presentation about our paper Inference on the state process of periodically inhomogeneous hidden Markov models for animal behaviour. We established novel tools to better understand the state process of periodically inhomogeneous hidden Markov models regarding i) the periodically varying unconditional state distribution and ii) the state dwell-time distribution. This was illustrated using the movement track of an elphant from the Ivory Coast. You can download the slides here.

Mitigating consequences of the Markov assumption
24. October 2023, Colloquium of the Center for Statistics, Bielefeld University
I presented the results of my master thesis which focussed on methods for mitigation the undesired consequences of the Markov assumption in hidden Markov models. In particular, I derived properties of the state process of periodically inhomogeneous Markov chains, and extended the model class of hidden semi-Markov models to allow for inhomogeneity in the state dwell-time distributinos. You can download the slides here.

Posters

Mitigating consequences of the Markov assumption
4. December 2023, Doctoral workshop of the Bielefeld Graduate School of Economics and Management (BiGSEM), Bielefeld University
I also presented the results of my master thesis as a poster in the 18. doctoral workshop of the Bielefeld Graduate School of Economics and Management (BiGSEM). You can download the poster here.