| 1 |
Predicting industrial-scale cell culture seed trains-A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method
Rodriguez TH, Posch C, Schmutzhard J, Stettner J, Weihs C, Portner R, Frahm B
Biotechnology and Bioengineering, 116(11), 2944, 2019 |
| 2 |
A Bayesian approach to calibrating hydrogen flame kinetics using many experiments and parameters
Bell J, Day M, Goodman J, Grout R, Morzfeld M
Combustion and Flame, 205, 305, 2019 |
| 3 |
Automated reviving calibration strategy for virtual in-situ sensor calibration in building energy systems: Sensitivity coefficient optimization
Wang P, Yoon SM, Wang JQ, Yu YB
Energy and Buildings, 198, 291, 2019 |
| 4 |
Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect
Yoon S, Yu Y
Applied Energy, 212, 1069, 2018 |
| 5 |
Modeling the liquid-liquid extraction equilibrium of iron (III) with hydroxyoxime extractant and equilibrium-based simulation of counter-current copper extraction circuits
Vasilyev F, Virolainen S, Sainio T
Chemical Engineering Science, 175, 267, 2018 |
| 6 |
APT-MCMC, a C plus plus /Python implementation of Markov Chain Monte Carlo for parameter identification
Zhang LA, Urbano A, Clermont G, Swigon D, Banerjee I, Parker RS
Computers & Chemical Engineering, 110, 1, 2018 |
| 7 |
Strategies for virtual in-situ sensor calibration in building energy systems
Yoon SM, Yu YBV
Energy and Buildings, 172, 22, 2018 |
| 8 |
Hidden factors and handling strategy for accuracy of virtual in-situ sensor calibration in building energy systems: Sensitivity effect and reviving calibration
Yoon S, Yu YB
Energy and Buildings, 170, 217, 2018 |
| 9 |
To be certain about the uncertainty: Bayesian statistics for C-13 metabolic flux analysis
Theorell A, Leweke S, Wiechert W, Noh K
Biotechnology and Bioengineering, 114(11), 2668, 2017 |
| 10 |
Modeling the phase equilibrium in liquid-liquid extraction of copper over a wide range of copper and hydroxyoxime extractant concentrations
Vasilyev F, Virolainen S, Sainio T
Chemical Engineering Science, 171, 88, 2017 |
