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ORCIDIason Papaioannou
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Journal Articles
- 2024
[j21]Jianpeng Chan, Iason Papaioannou
, Daniel Straub:
Bayesian improved cross entropy method with categorical mixture models for network reliability assessment. Reliab. Eng. Syst. Saf. 252: 110432 (2024)- [j20]Konstantin Althaus, Iason Papaioannou, Elisabeth Ullmann:
Consensus-Based Rare Event Estimation. SIAM J. Sci. Comput. 46(3): 1487- (2024) - 2023
- [j19]Michael Engel, Oindrila Kanjilal, Iason Papaioannou, Daniel Straub:
Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling. J. Comput. Phys. 473: 111746 (2023) - [j18]Max Ehre, Rafael Flock, Martin Fußeder, Iason Papaioannou, Daniel Straub:
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method. SIAM/ASA J. Uncertain. Quantification 11(1): 358-388 (2023) - 2022
- [j17]Fabian Wagner, Iason Papaioannou, Elisabeth Ullmann:
The Ensemble Kalman Filter for Rare Event Estimation. SIAM/ASA J. Uncertain. Quantification 10(1): 317-349 (2022) - [j16]Daniel Straub, Max Ehre, Iason Papaioannou:
Decision-theoretic reliability sensitivity. Reliab. Eng. Syst. Saf. 221: 108215 (2022) - [j15]Jianpeng Chan, Iason Papaioannou, Daniel Straub:
An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states. Reliab. Eng. Syst. Saf. 225: 108607 (2022) - [j14]Wolfgang Betz, Iason Papaioannou, Daniel Straub:
Bayesian post-processing of Monte Carlo simulation in reliability analysis. Reliab. Eng. Syst. Saf. 227: 108731 (2022) - [j13]Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub:
Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis. SIAM J. Sci. Comput. 44(3): 558- (2022) - 2021
- [j12]Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub:
Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation. SIAM/ASA J. Uncertain. Quantification 9(2): 818-847 (2021) - [j11]Iason Papaioannou, Daniel Straub:
Variance-based reliability sensitivity analysis and the FORM α-factors. Reliab. Eng. Syst. Saf. 210: 107496 (2021) - [j10]Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Error Analysis for Probabilities of Rare Events with Approximate Models. SIAM J. Numer. Anal. 59(4): 1948-1975 (2021) - 2020
- [j9]Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile:
Sparse Polynomial Chaos expansions using variational relevance vector machines. J. Comput. Phys. 416: 109498 (2020) - [j8]Max Ehre, Iason Papaioannou, Daniel Straub:
A framework for global reliability sensitivity analysis in the presence of multi-uncertainty. Reliab. Eng. Syst. Saf. 195: 106726 (2020) - [j7]Max Ehre, Iason Papaioannou, Daniel Straub:
Global sensitivity analysis in high dimensions with PLS-PCE. Reliab. Eng. Syst. Saf. 198: 106861 (2020) - [j6]Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Multilevel Sequential Importance Sampling for Rare Event Estimation. SIAM J. Sci. Comput. 42(4): A2062-A2087 (2020) - 2019
- [j5]Iason Papaioannou, Max Ehre, Daniel Straub:
PLS-based adaptation for efficient PCE representation in high dimensions. J. Comput. Phys. 387: 186-204 (2019) - [j4]Iason Papaioannou, Sebastian Geyer, Daniel Straub:
Improved cross entropy-based importance sampling with a flexible mixture model. Reliab. Eng. Syst. Saf. 191 (2019) - 2018
- [j3]Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Multilevel Sequential2 Monte Carlo for Bayesian inverse problems. J. Comput. Phys. 368: 154-178 (2018) - 2016
- [j2]Daniel Straub, Iason Papaioannou, Wolfgang Betz:
Bayesian analysis of rare events. J. Comput. Phys. 314: 538-556 (2016) - 2015
- [j1]Elisabeth Ullmann, Iason Papaioannou:
Multilevel Estimation of Rare Events. SIAM/ASA J. Uncertain. Quantification 3(1): 922-953 (2015)
Informal and Other Publications
- 2024
- [i9]Felix Schneider, Iason Papaioannou, Bruno Sudret, Gerhard Müller:
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions. CoRR abs/2408.03569 (2024) - 2023
- [i8]Konstantin Althaus, Iason Papaioannou, Elisabeth Ullmann:
Consensus-based rare event estimation. CoRR abs/2304.09077 (2023) - 2022
- [i7]Felix Schneider, Iason Papaioannou, Gerhard Müller:
Sparse Bayesian Learning for Complex-Valued Rational Approximations. CoRR abs/2206.02523 (2022) - 2021
- [i6]Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger, Daniel Straub, Ernst Rank:
Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures. CoRR abs/2103.09550 (2021) - [i5]P.-R. Wagner, Stefano Marelli, Iason Papaioannou, Daniel Straub, Bruno Sudret:
Rare event estimation using stochastic spectral embedding. CoRR abs/2106.05824 (2021) - [i4]Fabian Wagner, Iason Papaioannou, Elisabeth Ullmann:
The ensemble Kalman filter for rare event estimation. CoRR abs/2106.10062 (2021) - 2020
- [i3]Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Error analysis for probabilities of rare events with approximate models. CoRR abs/2008.06368 (2020) - 2019
- [i2]Fabian Wagner, Jonas Latz, Iason Papaioannou, Elisabeth Ullmann:
Multilevel Sequential Importance Sampling for Rare Event Estimation. CoRR abs/1909.07680 (2019) - [i1]Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile:
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines. CoRR abs/1912.11029 (2019)
Coauthor Index
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