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Papers matching “model parameterization” 19

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Viscoplasticity model stochastic parameter identification: Multi-scale approach and Bayesian inference
2022 HAL (Le Centre pour la Communication Scientifique Directe) article Decision Sciences Probabilistic and Robust Engineering Design

Cong-Uy Nguyen, Truong‐Vinh Hoang, Emina Hadžalić, Simona Dobrilla, Hermann Georg Matthies, Adnan Ibrahimbegović

0

citations
Development of a holistic Python package for optimal selection of experimental design criteria in kinetic model discrimination
2023 Computer-aided chemical engineering/Computer aided chemical engineering software-paper Decision Sciences Optimal Experimental Design Methods

Maerthe Theresa Tillmann, Federico Galvanin

4

citations
Sensitivity analysis in archaeological simulation: An application to the MERCURY model
2021 Journal of Archaeological Science Reports article Decision Sciences Simulation Techniques and Applications Open access

Hilde Kanters, Tom Brughmans, Iza Romanowska

10

citations
Model-based design of experiments for adsorption isotherms
2025 Adsorption article Decision Sciences Optimal Experimental Design Methods Open access

Matthias Henninger, Patrik Postweiler, Mirko Engelpracht, Federico Galvanin, André Bardow

2

citations
Model-Based Design of Experiments for adsorption isotherms
2025 Research Square preprint Decision Sciences Optimal Experimental Design Methods Open access

Matthias Henninger, Patrik Postweiler, Mirko Engelpracht, Federico Galvanin, André Bardow

0

citations
Guidelines for Conducting Sensitivity Analyses in Process Simulations for Solid Earth Geosciences
2026 Mathematical Geosciences article Decision Sciences Probabilistic and Robust Engineering Design Open access

Denise Degen, Florian Wellmann

1

citations
Optimal experimental design for guaranteed parameter estimation with rigorous formulation of the embedded liquid-liquid equilibrium
2026 Chemical Engineering Science article Decision Sciences Optimal Experimental Design Methods Open access

Daniel Jungen, Jan-Frederic Laub, Alexander Mitsos

0

citations
AN EFFICIENT COMPUTATIONAL METHOD FOR PARAMETER IDENTIFICATION IN THE CONTEXT OF RANDOM SET THEORY VIA BAYESIAN INVERSION
2020 International Journal for Uncertainty Quantification article Decision Sciences Probabilistic and Robust Engineering Design

Truong‐Vinh Hoang, Hermann Georg Matthies

5

citations
A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates
2023 Psychometrika article Decision Sciences Psychometric Methodologies and Testing Open access

Roberto Di Mari, Zsuzsa Bakk, Jennifer Lynn Oser, Jouni Kuha

27

citations
Uncertainty quantification of kinetic models using adjoint-driven active subspace algorithms
2022 Proceedings of the Combustion Institute article Decision Sciences Probabilistic and Robust Engineering Design Open access

Ahmed Hassan, Vincent Le Chenadec, Taraneh Sayadi

4

citations
Uncertainty quantification and sensitivity analysis of an unsteady axisymmetric reacting solid particle
2024 Combustion and Flame article Decision Sciences Probabilistic and Robust Engineering Design

Ahmed Hassan, Leif Schumacher, Vincent Le Chenadec, Taraneh Sayadi

1

citations
Combining sensitivity and uncertainty analysis to efficiently quantify parametric uncertainties in NVH system simulation models
2023 Forschung im Ingenieurwesen article Decision Sciences Probabilistic and Robust Engineering Design Open access

Stefan Wischmann, Pascal Drichel, Georg Jacobs, Julius Moritz Berges, Joerg Berroth

2

citations
Crossing-Free Probabilistic K-Line Forecasts Without Retraining
2026 arXiv (Cornell University) preprint Decision Sciences Stock Market Forecasting Methods Open access

Runyao Yu, Yuchen Tao, Yujie Chen, Wentao Wang, Derek W. Bunn

0

citations
Solving multi-leader-follower games via parametric optimization
2026 EURO Journal on Computational Optimization article Decision Sciences Game Theory and Applications Open access

Sonja Steffensen, Addis Belete Zewde

0

citations
Integrating Uncertainties in a Multi-Criteria Decision Analysis with the Entscheidungsnavi
2024 Mathematics article Decision Sciences Multi-Criteria Decision Making Open access

Mendy Tönsfeuerborn, Rüdiger von Nitzsch

5

citations
Probabilistic constrained Bayesian inversion for transpiration cooling
2022 International Journal for Numerical Methods in Fluids article Decision Sciences Probabilistic and Robust Engineering Design Open access

Ella Steins, Tan Bui–Thanh, Michaël Herty, Siegfried Müller

3

citations
Bayesian experimental design in production engineering: a comprehensive performance and robustness study
2026 Frontiers in Manufacturing Technology article Decision Sciences Optimal Experimental Design Methods Open access

Lars Leyendecker, Ana Maria Gonzalez Degetau, Katharina Bata, Jessica Emonts, Angela Schmitz, Robert Heinrich Schmitt

0

citations
Probabilistic Constrained Bayesion Inversion for Transpiration Cooling
2022 arXiv (Cornell University) preprint Decision Sciences Probabilistic and Robust Engineering Design Open access

Ella Steins, Tan Bui–Thanh, Michaël Herty

0

citations
Optimization of the Production of Rubber Compounds Using Mathematical Models
2026 Advanced Engineering Materials article Decision Sciences Optimal Experimental Design Methods Open access

Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, +2 more

0

citations

19 results