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The American Statistician Volume 78, 2024 - Issue 1
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Likelihood-Free Parameter Estimation with Neural Bayes Estimators

Matthew Sainsbury-Dalea School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, AustraliaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6170-7929View further author information
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Andrew Zammit-Mangiona School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, AustraliaORCID Iconhttps://orcid.org/0000-0002-4164-6866View further author information
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Raphaël Huserb Statistics Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0002-1228-2071View further author information
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Pages 1-14 | Received 05 Mar 2023, Accepted 30 Jul 2023, Published online: 03 Oct 2023

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Raphaël Huser, Michael L. Stein & Peng Zhong. (2023) Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models. Journal of Computational and Graphical Statistics 0:0, pages 1-22.
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Articles from other publishers (2)

Sweta Rai, Alexis Hoffman, Soumendra Lahiri, Douglas W. Nychka, Stephan R. Sain & Soutir Bandyopadhyay. (2024) Fast parameter estimation of generalized extreme value distribution using neural networks. Environmetrics 35:3.
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Rishikesh Yadav, Raphaël Huser, Thomas Opitz & Luigi Lombardo. (2023) Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions. Journal of the Royal Statistical Society Series C: Applied Statistics 72:5, pages 1139-1161.
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