Hannes Riebl

Education

Hannes Riebl completed his M.Sc. in Applied Statistics at the University of Göttingen, before starting his Ph.D. at the Chair of Statistics in 2017, where he now works on SP 10-1 of the RTG. His research focuses on extensions of the structured additive distributional regression model class and applications in ecology and forestry. He is also developing a Python software framework for research on these models, building on cutting-edge machine learning technology for efficient Bayesian inference.

PhD Research Project

Structured Additive Distributional Regression Models in Ecology and Forestry: Applications, Software, and Inference

Papers

Appleby SM, Bebre I, Riebl H, Balkenhol N, Seidel D (2024) Linking small mammal capture probability with understory structural complexity using a mobile laser scanning-derived metric: A case study. Ecological Research. https://doi.org/10.1111/1440-1703.12447.

Glatthorn J, Appleby S, Balkenhol N, Kriegel P, Likulunga LE, Lu JZ, Matevski D, Polle A, Riebl H, Rivera Pérez CA, Scheu S, Seinsche A, Schall P, Schuldt A, Wingender S, Ammer C (2023) Species diversity of forest floor biota in non-native Douglas-fir stands is similar to that of native stands. Ecosphere 14(7): e4609.

Riebl H, Klein N, Kneib T (2023) Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses. Journal of the Royal Statistical Society Series C: Applied Statistics 72(2): 414–433.

Bebre I, Riebl H, Annighöfer P (2021) Seedling Growth and Biomass Production under Different Light Availability Levels and Competition Types. Forests 12: 1376.

Conferences

Hannes Riebl, Nadja Klein and Thomas Kneib, Gaussian Process Responses in Distributional Regression, Poster, European Courses in Advanced Statistics on Statistical Analysis for Space-Time Data, Lisbon, 15–17 July 2019
Hannes Riebl, Nadja Klein and Thomas Kneib, Gaussian Process Responses in Distributional Regression, Poster, International Workshop on Statistical Modelling, Guimarães (Portugal), 7–12 July 2019
Hannes Riebl, Nadja Klein and Thomas Kneib, Random Function Responses in Distributional Regression, Talk, DAGStat (Deutsche Arbeitsgemeinschaft Statistik) Conference, Munich, 18–22 March 2019

Teaching

Practical Statistical Training, Summer 2021
Advanced Statistical Programming with R, Summer 2020 and 2021
Advanced Mathematics: Optimization (Exercise Class), Winter 2018 and 2019
Statistical Modelling and Advanced Regression Analyses (Exercise Class), Winter 2018
Mathematics coaching for economics and business students, Summer 2018
Econometrics II (Tutorial), Summer 2017