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PARAMETER ESTIMATION OF STOCHASTIC CHAOTIC SYSTEMS

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DOI
10.1615/Int.J.UncertaintyQuantification.2020032807
Maraia, Ramona; Springer, Sebastian; Haario, Heikki; Hakkarainen, Janne; Saksman, Eero
International journal for uncertainty quantification2021

EMPIRICAL EVALUATION OF BAYESIAN OPTIMIZATION IN PARAMETRIC TUNING OF CHAOTIC SYSTEMS

Referentgranskad
DOI
10.1615/Int.J.UncertaintyQuantification.2015015545
Abbas, Mudassar; Ilin, Alexander; Solonen, Antti; Hakkarainen, Janne; Oja, Erkki; Jarvinen, Heikki
International journal for uncertainty quantification2016

Asymptotic bounds for smoothness parameter estimates in Gaussian process interpolation

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DOI
10.1137/22M149288X
Karvonen, Toni
SIAM/ASA journal on uncertainty quantification2023

Generalized Modes in Bayesian Inverse Problems

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DOI
10.1137/18M1191804
Clason, Christian; Helin, Tapio; Kretschmann, Remo; Piiroinen, Petteri
SIAM/ASA journal on uncertainty quantification2019

Uncertainty Quantification by Gaussian Random Fields for Point-Like Emissions from Satellite Observations

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DOI
10.1615/int.j.uncertaintyquantification.2023044906
Härkönen, Teemu; Sundström, Anu-Maija; Tamminen, Johanna; Hakkarainen, Janne; Vakkilainen, Esa; Haar...
International journal for uncertainty quantification2023

CUQIpy: I. Computational uncertainty quantification for inverse problems in Python

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DOI
10.1088/1361-6420/ad22e7
Riis N. A. B.; Alghamdi A. M. A.; Uribe F.; Christensen S. L.; Afkham B. M.; Hansen P. C.; Jørgensen...
IOP Publishing: Hybrid Open Access2024

Randomize-then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography

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DOI
10.1137/140978272
Bardsley Johnathan M, Seppänen Aku, Solonen Antti, Haario Heikki, Kaipio Jari
SIAM/ASA journal on uncertainty quantification2015

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

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Nikitin, Alexander; Kossen, Jannik ; Gal, Yarin; Marttinen, Pekka
Advances in Neural Information Processing Systems2025

Maximum likelihood estimation and uncertainty quantification for gaussian process approximation of deterministic functions

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DOI
10.1137/20M1315968
Karvonen, Toni; Wynne, George; Tronarp, Filip; Oates, Chris; Särkkä, Simo
SIAM/ASA Journal on Uncertainty Quantification2020

Uncertainty Quantification in Mineral Resource Estimation

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DOI
10.1007/s11053-024-10394-6
Lindi, Oltingey Tuya; Aladejare, Adeyemi Emman; Ozoji, Toochukwu Malachi; Ranta, Jukka-Pekka
Natural resources research2024

PARAMETER ESTIMATION OF STOCHASTIC CHAOTIC SYSTEMS

Referentgranskad
DOI
10.1615/Int.J.UncertaintyQuantification.2020032807
2021

EMPIRICAL EVALUATION OF BAYESIAN OPTIMIZATION IN PARAMETRIC TUNING OF CHAOTIC SYSTEMS

Referentgranskad
DOI
10.1615/Int.J.UncertaintyQuantification.2015015545
2016

Asymptotic bounds for smoothness parameter estimates in Gaussian process interpolation

Referentgranskad
Öppen tillgång
DOI
10.1137/22M149288X
2023

Generalized Modes in Bayesian Inverse Problems

Referentgranskad
Öppen tillgång
DOI
10.1137/18M1191804
2019

Uncertainty Quantification by Gaussian Random Fields for Point-Like Emissions from Satellite Observations

Referentgranskad
Öppen tillgång
DOI
10.1615/int.j.uncertaintyquantification.2023044906
2023

CUQIpy: I. Computational uncertainty quantification for inverse problems in Python

Referentgranskad
Öppen tillgång
DOI
10.1088/1361-6420/ad22e7
2024

Randomize-then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography

Referentgranskad
DOI
10.1137/140978272
2015

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

Referentgranskad
Öppen tillgång
2025

Maximum likelihood estimation and uncertainty quantification for gaussian process approximation of deterministic functions

Referentgranskad
Öppen tillgång
DOI
10.1137/20M1315968
2020

Uncertainty Quantification in Mineral Resource Estimation

Referentgranskad
Öppen tillgång
DOI
10.1007/s11053-024-10394-6
2024