Bayesian Non-linear Statistical Inverse Problems :: SCD d'Orléans

Bayesian Non-linear Statistical Inverse Problems

Bayesian Non-linear Statistical Inverse Problems

Bayesian methods based on Gaussian process priors are frequently used in statistical inverse problems arising with partial differential equations (PDEs). They can be implemented by Markov chain Monte Carlo (MCMC) algorithms. The underlying statistical models are naturally high- or infinite-dimension...

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Dades bibliogràfiques
Autor principal:	Nickl, Richard, 19..-
Format:	Livre numérique
Idioma:	Anglais
Publicat:	Berlin : European Mathematical Society 2023. Berlin :
Col·lecció:	Zurich Lectures in Advanced Mathematics
Accés en línia:	Accès sur la plateforme EMS Press Accès sur la plateforme ISTEX Accès Université d'Orléans Accès INSA CVL
Nota:	European Mathematical Society (Licence nationale) European Mathematical Society (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Bayesian Non-linear Statistical Inverse Problems, 978-3-98547-053-2

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