Results 1 to 10 of about 750 (67)

A Novel Approach for Bathymetry Estimation through Bayesian Gravity Inversion

Geosciences (Switzerland), 2023
The bathymetry is the most superficial layer of the Earth’s crust on which it is possible to perform direct measurements. However, it is also well known that water covers more than 70% of the Earth’s surface, so an enormous expenditure of acquisition ...
Daniele Sampietro, Martina Capponi, Sampietro Daniele   +2 more
exaly   +3 more sources

Bayesian Inversion for Geoacoustic Parameters in Shallow Sea

Sensors, 2020
Geoacoustic parameter inversion is a crucial issue in underwater acoustic research for shallow sea environments and has increasingly become popular in the recent past.
Xiaohan Wang, Sartaj Khan, Guangxue Zheng   +2 more
exaly   +3 more sources

Automatic Tempered Posterior Distributions for Bayesian Inversion Problems

Mathematics, 2021
We propose a novel adaptive importance sampling scheme for Bayesian inversion problems where the inference of the variables of interest and the power of the data noise are carried out using distinct (but interacting) methods.
Joaquin Miguez, Luca Martino, Javier Lopez Santiago   +2 more
exaly   +3 more sources

The research on Bayesian inference for geophysical inversion

地球与行星物理论评, 2022
Based on statistical theory, the Bayesian inversion method adopts the posterior probability distribution to evaluate the model parameters under the constraints of prior information and observation data.
Xingda Jiang, Wei Zhang, Hui Yang
doaj   +1 more source

Review of Bayesian finite-fault source model inversion

地球与行星物理论评, 2023
A finite-fault earthquake slip model can characterize the kinematics of rupture, which is essential for earthquake mechanism studies and seismic hazard assessments.
Guoguang Wei, Kejie Chen, Hai Zhu, Haishan Chai   +3 more
doaj   +1 more source

A practical approach to develop a proper anisotropic rock physics model for media comprising of multiple fracture sets in the absence of sophisticated laboratory/wireline data

Frontiers in Earth Science, 2022
For economical production from a fractured reservoir, a characteristic analysis of the fracture parameters like its density and orientation within the reservoir is essential to improve the fluid flow during extraction.
Ferhana Masood, Zulfiqar Ahmad, Yawar Amin, Zubair, Aamir Ali   +4 more
doaj   +1 more source

A Bayesian quantum state tomography along with adaptive frameworks based on linear minimum mean square error criterion

New Journal of Physics, 2023
Quantum state tomography (QST) is essential for characterizing unknown quantum states. Several methods of estimating quantum states already exist and can be classified mainly into three broad classes.
Subhadeep Mondal, Amit Kumar Dutta
doaj   +1 more source

A Bayesian approach to the tomographic problem with constraints from geodynamic modeling: Application to a synthetic subduction zone

Seismica, 2022
Geodynamic tomography, an imaging technique that incorporates constraints from geodynamics and mineral physics to restrict the potential number of candidate seismic models down to a subset consistent with geodynamic predictions, is applied to a thermal ...
John Keith Magali, Thomas Bodin
doaj   +1 more source

Bayesian Markov Chain Monte Carlo inversion of surface-based transient electromagnetic data

SN Applied Sciences, 2022
Article Highlights 1. We propose a Bayesian MCMC procedure for surface-based TEM data inversion and apply it successfully both in synthetic data and field data. 2.
Shengqiang Deng, Nuoya Zhang, Bo Kuang, Yaohua Li, Huaifeng Sun   +4 more
doaj   +1 more source

gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective

Infrastructures, 2021
In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs.
Filippo Landi, Francesca Marsili, Noemi Friedman, Pietro Croce   +3 more
doaj   +1 more source