Einträge von Georg, Peter auf dem Publikationsserver

Pfahler, Simon, Georg, Peter, Schill, Rudolf , Klever, Maren, Grasedyck, Lars, Spang, Rainer und Wettig, Tilo (2024) Taming numerical imprecision by adapting the KL divergence to negative probabilities. Statistics and Computing 34 (168).

Rupp, Kevin, Schill, Rudolf , Süskind, Jonas, Georg, Peter, Klever, Maren, Lösch, Andreas, Grasedyck, Lars, Wettig, Tilo und Spang, Rainer (2024) Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models. Computational Statistics.

Schill, Rudolf , Klever, Maren, Rupp, Kevin, Hu, Y. Linda , Lösch, Andreas, Georg, Peter, Pfahler, Simon, Vocht, Stefan, Hansch, Stefan, Wettig, Tilo , Grasedyck, Lars und Spang, Rainer (2024) Reconstructing Disease Histories in Huge Discrete State Spaces. KI - Künstliche Intelligenz.

Bali, Gunnar S. , Collins, Sara, Georg, Peter, Jenkins, Daniel, Korcyl, Piotr, Schäfer, Andreas, Scholz, Enno E., Simeth, Jakob , Söldner, Wolfgang und Weishäupl, Simon (2023) Scale setting and the light baryon spectrum in Nf = 2 + 1 QCD with Wilson fermions. Journal of High Energy Physics 2023 (5), S. 35.

Georg, Peter, Grasedyck, Lars, Klever, Maren, Schill, Rudolf, Spang, Rainer und Wettig, Tilo (2023) Low-rank tensor methods for Markov chains with applications to tumor progression models. Journal of Mathematical Biology 86 (1). Volltext nicht vorhanden.

Georg, Peter, Grasedyck, Lars, Klever, Maren, Schill, Rudolf , Spang, Rainer und Wettig, Tilo (2022) Low-rank tensor methods for Markov chains with applications to tumor progression models. Journal of Mathematical Biology 86 (7).

Georg, Peter (2022) Tensor Train Decomposition for solving high-dimensional Mutual Hazard Networks. Dissertation, Universität Regensburg.