Publications

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, Jürgen Pleiss, Antje Spiess, and 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

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, Jürgen Pleiss, Antje Spiess, and 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 from:ist_bib Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme] URL

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, J�rgen Pleiss, Antje Spiess, and 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 unchecked residual Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme] URL

O. Elmi, M. J. Tourian, and N. Sneeuw. Dynamic river masks from multi-temporal satellite imagery: an automatic algorithm using graph cuts optimization. 2016. [PUMA: image area Markov Optical Remote imagery, Hydrology, monitoring, water graph body random sensing, fields, classification, satellite cuts]

O. Elmi, M. J. Tourian, and N. Sneeuw. Dynamic river masks from multi-temporal satellite imagery: an automatic algorithm using graph cuts optimization. 2016. [PUMA: image area Markov Optical imagery, Remote Hydrology, monitoring, water graph body from:mantoni random sensing, fields, classification, satellite cuts]

W. K. Hastings. Monte Carlo sampling methods using Markov chains and their applications. Biometrika, (57)1:97-109, 1970. [PUMA: hastings metropolis markov] URL

Nicholas Metropolis, Arianna W. Rosenbluth, Marshall N. Rosenbluth, Augusta H. Teller, and Edward Teller. Equation of State Calculations by Fast Computing Machines. The Journal of Chemical Physics, (21)61953. [PUMA: chain metropolis carlo monte markov] URL

Markoffsche Entscheidungsprozesse. In Manfred Verfasser/in Schäl (Eds.), Teubner-Skripten zur mathematischen Stochastik, Teubner, Stuttgart, 1990. [PUMA: Optimierung. Optimales Markov importzotero Stochastische Markov-Kette. Stochastic Markov-Entscheidungsprozess. Stoppen. dynamische processes. programming]