Jens Lichter

• Research associate at RTG 2300: Enrichment of European beech forests with conifers - impacts of functional traits on ecosystem functioning
• Statistical consulting for bachelor, master and PhD students at the Zentrum für Statistik

Educational background:

• 2018 – 2020: M.Sc., Applied Statistics, Georg-August University Göttingen
• 2013 – 2018: B.A., Economics, Georg-August University Göttingen, including an ERASMUS exchange year at the University of Nottingham

Research interests:

• Bayesian semiparametric regression
• Variational Inference
• Deep Learning

Statistical Consulting

• Statistical Consulting for Students
• Statistical Consulting for PhD Students

Publications and contributions:

1. Paligi, S., Lichter, J., Kotowska, M., Schwutke, R., Audisio, M., Mrak, K., Penanhoat, A., Schuldt, B., Hertel, D. and Leuschner, C. (2024). Water status dynamics and drought tolerance of juvenile European beech, Douglas fir and Norway spruce trees as dependent on neighborhood and nitrogen supply . Tree Physiology, 44 (5).
2. Lichter, J., Wiemann, P. F., and Kneib, T. (2024). Variational inference: uncertainty quantification in additive models. AStA Advances in Statistical Analysis, 1-53.
3. Thielmann, A., Seifert, Q., and Lichter, J. (2020). Sign language recognition using regularized convolutional neural networks. In B. Säfken, A. Silbersdorff, and C. Weisser (Eds.), Learning Deep - Perspectives on Deep Learning Algorithms and Artificial Intelligence (pp. 53–70), Universitätsverlag Göttingen
4. Lichter, J., Hosius, E., Wacker, B. and Schlüter, J. (2020). Der Einfluss von Offshore-Windenergie auf die EEX-Strompreise, Zeitschrift für Energiewirtschaft, 44:85-99