Posterior consistency for Bayesian inverse problems through stability and regression results

Posterior consistency for Bayesian inverse problems through stability and regression results

In the Bayesian approach, the a priori knowledge about the input of a mathematical model is described via a probability measure. The joint distribution of the unknown input and the data is then conditioned, using Bayes' formula, giving rise to the posterior distribution on the unknown input. In...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur:	Vollmer, S
Fformat:	Journal article
Iaith:	English
Cyhoeddwyd:	2013

Eitemau Tebyg

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Sequential Inverse Problems Bayesian Principles and the Logistic Map Example
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Bayesian solution to the inverse problem and its relation to Backus–Gilbert methods
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Bayesian inverse problem for a fractional diffusion model of cell migration
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Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
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Hierarchical Bayesian approaches to seismic imaging and other geophysical inverse problems
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Bayesian regression and Bitcoin
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