Publications

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, Jürgen Pleiss, Antje Spiess, und Nicole E. Radde. Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics. AIChE Journal, (n/a)n/a:e16866, 2019. [PUMA: thiamine-diphosphate-dependent kinetics, Markov chain profile enzymes residual Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme] URL

Andrea Barth, und Franz G. Fuchs. UNCERTAINTY QUANTIFICATION FOR HYPERBOLIC CONSERVATION LAWS WITH FLUX COEFFICIENTS GIVEN BY SPATIOTEMPORAL RANDOM FIELDS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, (38)4:A2209-A2231, SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA, 2016. [PUMA: hyperbolic field; field} finite Carlo quantification; Monte method; differential uncertainty random Ornstein-Uhlenbeck {stochastic volume flux equation; spatiotemporal Gaussian partial process; function;]