Search Results - subject:"Uncertainty quantification"

Asymptotic consistency for nonconvex risk-averse stochastic optimization with infinite-dimensional decision spaces

Milz, Johannes; Surowiec, Thomas M. - In: Mathematics of operations research 49 (2024) 3, pp. 1403-1418

Persistent link: https://www.econbiz.de/10015047532

Structural Models for Policy-Making: Coping with Parametric Uncertainty

Eisenhauer, Philipp; Gabler, Janos; Janys, Lena - 2021

The ex-ante evaluation of policies using structural econometric models is based on estimated parameters as a stand-in for the truth. This practice ignores uncertainty in the counterfactual policy predictions of the model. We develop a generic approach that deals with parametric uncertainty using...

Persistent link: https://www.econbiz.de/10012597463

Structural models for policy-making: coping with parametric uncertainty

Eisenhauer, Philipp; Gabler, Janos; Janys, Lena - 2021

Persistent link: https://www.econbiz.de/10012517558

Stochastic simulation uncertainty analysis to accelerate flexible biomanufacturing process development

Xie, Wei; Barton, Russell R.; Nelson, Barry L.; Wang, Keqi - In: European journal of operational research : EJOR 310 (2023) 1, pp. 238-248

Persistent link: https://www.econbiz.de/10014339790

Exploring quality dimensions in trustworthy Machine Learning in the context of official statistics : model explainability and uncertainty quantification

Molladavoudi, Saeid; Yung, Wesley - In: Wirtschafts- und sozialstatistisches Archiv : eine … 17 (2023) 3/4, pp. 223-252

Persistent link: https://www.econbiz.de/10014448087

Uncertainty analysis in group decisions through interval ordinal priority approach

Mahmoudi, Amin; Javed, Saad Ahmed - In: Group decision and negotiation 32 (2023) 4, pp. 807-833

Persistent link: https://www.econbiz.de/10014321996

A Bayesian approach for more reliable tail risk forecasts

Li, Dan; Clements, Adam; Drovandi, Christopher - In: Journal of financial stability 64 (2023), pp. 1-22

Persistent link: https://www.econbiz.de/10014284929

Simulation input modelling in the absence of historical data for decision support during crises : experience with assessing demand uncertainties for simulating walk-through testing in the early waves of COVID-19

Werner, Christoph - In: Journal of the Operational Research Society 74 (2023) 2, pp. 489-508

Persistent link: https://www.econbiz.de/10014317574

Uncertainty quantification and global sensitivity analysis for economic models

Harenberg, Daniel; Marelli, Stefano; Sudret, Bruno; … - In: Quantitative Economics 10 (2019) 1, pp. 1-41

We present a global sensitivity analysis that quantifies the impact of parameter uncertainty on model outcomes. Specifically, we propose variance-decomposition-based Sobol' indices to establish an importance ranking of parameters and univariate effects to determine the direction of their impact....

Persistent link: https://www.econbiz.de/10012215365

Uncertainty quantification and global sensitivity analysis for economic models

Harenberg, Daniel; Marelli, Stefano; Sudret, Bruno; … - In: Quantitative economics : QE ; journal of the … 10 (2019) 1, pp. 1-41

We present a global sensitivity analysis that quantifies the impact of parameter uncertainty on model outcomes. Specifically, we propose variance‐decomposition‐based Sobol' indices to establish an importance ranking of parameters and univariate effects to determine the direction of their...

Persistent link: https://www.econbiz.de/10011994823