Publications

Adrian Lindenmeyer, Malte Blattmann, Stefan Franke, Thomas Neumuth, und Daniel Schneider. Inadequacy of common stochastic neural networks for reliable clinical decision support. 2024. [PUMA: Inadequacy clinical decision networks neural reliable stochastic support xack] URL

Gaia Olcese, Paul D Bates, Jeffrey C Neal, Christopher C Sampson, Oliver E J Wing, Niall Quinn, Callum J R Murphy-Barltrop, und Izzy Probyn. Developing a Fluvial and Pluvial Stochastic Flood Model of Southeast Asia. Water Resources Research, (60 (2024))6Blackwell, 03.06.2024. [PUMA: topic_mathfoundation Asia, FIS_scads Southeast exposure, flood, global hydrological modeling models, population stochastic]

David Oechsler. Lévy Langevin Monte Carlo. Statistics and Computing, (34 (2024))1Springer, Dordrecht u. a., 10.11.2023. [PUMA: Carlo, FIS_scads Invariant Langevin Limiting L{\'e}vy Monte Stochastic differential distributions, equations processes,]

Ostap Okhrin, Michael Rockinger, und Manuel Schmid. Distributional properties of continuous time processes: from CIR to bates. AStA Advances in Statistical Analysis, (107)3:397-419, September 2023. [PUMA: topic_engineering CIR Distributional Higher Jump Squar Stochastic diffusion moments process properties volatility] URL

Jens Przybilla, Peter Ahnert, Holger Bogatsch, Frank Bloos, Frank M Brunkhorst, SepNet Critical Care Trials Group, Progress Study Group, Michael Bauer, Markus Loeffler, Martin Witzenrath, Norbert Suttorp, und Markus Scholz. Markov state modelling of disease courses and mortality risks of patients with community-acquired pneumonia. J. Clin. Med., (9)2:393, MDPI AG, Februar 2020. [PUMA: Markov SOFA community-acquired continuous-time decision making; medical model model; pneumonia; prognosis; score; sepsis; stochastic]