Results 91 to 100 of about 800 (115)
Some of the next articles are maybe not open access.
2015
This chapter provides a general introduction, at the high level, to the backward propagation of uncertainty/information in the solution of inverse problems, and specifically a Bayesian probabilistic perspective on such inverse problems. Under the umbrella of inverse problems, we consider parameter estimation and regression.
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This chapter provides a general introduction, at the high level, to the backward propagation of uncertainty/information in the solution of inverse problems, and specifically a Bayesian probabilistic perspective on such inverse problems. Under the umbrella of inverse problems, we consider parameter estimation and regression.
openaire +1 more source
2011
The posterior distribution in a nonparametric inverse problem is shown to contract to the true parameter at a rate that depends on the smoothness of the parameter, and the smoothness and scale of the prior. Correct combinations of these characteristics lead to the minimax rate.
Knapik, B.T. +2 more
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The posterior distribution in a nonparametric inverse problem is shown to contract to the true parameter at a rate that depends on the smoothness of the parameter, and the smoothness and scale of the prior. Correct combinations of these characteristics lead to the minimax rate.
Knapik, B.T. +2 more
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Bayesian model inversion using stochastic spectral embedding
Journal of Computational Physics, 2021Stefano Marelli +2 more
exaly
Bayesian Inversion with TimeOptMCMC
TimeOptMCMC (Meyers and Malinverno, 2018) is a Bayesian approach for evaluating cyclostratigraphic records that quantitatively links geologic data with astronomical theory. This manuscript provides an introductory guide for conducting a TimeOptMCMC Bayesian inversion, following the approach of Meyers and Malinverno (2018).openaire +1 more source
Hierarchical Bayesian Inversion of Global Variables and Large‐Scale Spatial Fields
Water Resources Research, 2022Peter Kitanidis +2 more
exaly
An Improved Bayesian von Karman Regularization Method for the Joint Inversion of GNSS and InSAR Data
Journal of Surveying Engineering, - ASCE, 2023Leyang Wang, Wang Leyang, Xu Guangyu
exaly
A novel dynamic compensation method for a contact probe based on Bayesian inversion
Measurement: Journal of the International Measurement Confederation, 2021Cheng Zhen-Ying +2 more
exaly
Neuro-Bayesian facies inversion of prestack seismic data from a carbonate reservoir in Iran
Journal of Petroleum Science and Engineering, 2015Alireza Malehmir, Sadegh Karimpouli
exaly