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Papers matching “Bayesian uncertainty” 255

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A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

0

citations
A Sandwich With Water: Bayesian/Frequentist Uncertainty Quantification under Model Misspecification
2024 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Jasper Alexander Vrugt, Cees G. H. Diks, Ramon de Punder, Peter Grünwald

1

citations
Data variability in neural network Bayesian inference
2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Gaussian Processes and Bayesian Inference Open access

0

citations
Data variability in neural network Bayesian inference
2025 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Gaussian Processes and Bayesian Inference Open access

Michael Krämer

0

citations
Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data
2021 Geophysical Research Letters article Earth and Planetary Sciences Arctic and Antarctic ice dynamics Open access

Christoph Herbert, Adriano Camps, Florian Wellmann, Merce Vall-llossera

8

citations
Turbid but accurate: automating lysostaphin quantification including uncertainty quantification
2026 Microbial Cell Factories article Environmental Science Bacteriophages and microbial interactions Open access

Lisa Prigolovkin, Michael Osthege, Maximilian Siska, Josefin Sander, Anja Hoffzimmer, Wolfgang Wiechert, +2 more

0

citations
Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice from SMOS
2020 preprint Earth and Planetary Sciences Arctic and Antarctic ice dynamics Open access

Christoph Herbert, Adriano Camps, Florian Wellmann, Merce Vall-llossera

0

citations
Influence of data acquisition on the Bayesian calibration of urban building energy models
2020 Energy and Buildings article Engineering Building Energy and Comfort Optimization

Stanley Risch, Peter Remmen, Dirk Müller

41

citations
A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology
2020 Mathematical Biosciences article Medicine Mathematical and Theoretical Epidemiology and Ecology Models Open access

Chiara Piazzola, Lorenzo Tamellini, Raul F. Tempone

30

citations
Bayesian inference in personal identification
2020 Elsevier eBooks book-chapter Arts and Humanities Forensic Anthropology and Bioarchaeology Studies

Charles E.H. Berger, Mayonne van Wijk, Hans H. de Boer

10

citations
Bayesian optimisation rivals expert-led Design of Experiments in high-dimensional cultivation medium optimisation
2026 SSRN Electronic Journal preprint Decision Sciences Optimal Experimental Design Methods Open access

Leon Poduschnick, Martin A. Stoffel, Christopher G. Lucas, Jørgen Barsett Magnus

0

citations
A Bayesian approach to feedback control for hyperbolic balance laws
2026 International Journal of Control article Engineering Stability and Controllability of Differential Equations Open access

Markus� Bambach, Shaoshuai Chu, Michaël Herty, Yunong Lin

0

citations
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
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access cited by 1 patent

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

48

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

9

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
Theories of Uncertainty Communication: An Interdisciplinary Literature Review
2024 Science Communication article Social Sciences Risk Perception and Management Open access

Wouter Lammers, Sacha Ferrari, Sylvia Wenmackers, Valérie Pattyn, Steven Van de Walle

20

citations
Toward a theory of Bayesian experimentation in early‐stage ventures
2026 Strategic Entrepreneurship Journal article Business, Management and Accounting Entrepreneurship Studies and Influences Open access

Andrea Contigiani, Lien Denoo, Márton Hablicsek

0

citations
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Tammo Hesselink, Botond Szabó

3

citations
Facing Uncertainty in AI: From Formal Verification To Synthesis
2025 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

0

citations
Uncertainty Quantification for Aquatic Ecotoxicity Prediction
2026 ChemRxiv preprint Environmental Science Environmental Toxicology and Ecotoxicology Open access

Tadeusz Price, Oliver Urs Lenz, Markus Viljanen, Leo Posthuma

0

citations
A Sandwich With Water: Bayesian/Frequentist Uncertainty Quantification under Model Misspecification
2024 preprint Environmental Science Hydrology and Watershed Management Studies

Jasper Alexander Vrugt, Cees G. H. Diks, Ramon de Punder, Peter Grünwald

0

citations
Uncertainty quantification in geological modelling by Hessian-informed MCMC
2020 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Zhouji Liang, Florian Wellmann

0

citations
Scalable Method for Bayesian Experimental Design without Integrating over Posterior Distribution
2025 SIAM/ASA Journal on Uncertainty Quantification article Decision Sciences Optimal Experimental Design Methods Open access

Truong‐Vinh Hoang, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations