Results 21 to 30 of about 18,085 (342)

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.
Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez   +4 more
doaj   +3 more sources

Neuro-Bayesian facies inversion of prestack seismic data from a carbonate reservoir in Iran

Journal of Petroleum Science and Engineering, 2015
Facies study is a powerful tool to better understand complexities of carbonate reservoirs. Porosity, frame flexibility factor and bulk modulus of fluid are believed to be the most proper rock physical parameters to define desired facies in carbonate ...
Karimpouli, Sadegh, Malehmir, Alireza,
core   +2 more sources

Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework [PDF]

Scientific Reports
Rapid and accurate identification of pollution sources is critical for emergency management but remains challenged by the high computational cost and uncertainty of traditional numerical models.
Yanchen Wang, Yu Wang, Peng Shi, Jianmin Bian, Caidie Chen   +4 more
doaj   +2 more sources

Inversion-Free Sparse Bayesian Learning for Temporally Correlated Signal Recovery [PDF]

, 2023
Compressed sensing recovers the sparse signal from far fewer samples than required by the well-known Nyquist–Shannon sampling theorem to speed up the measure- ment procedure.
Yuhui Song
openalex   +2 more sources

Bayesian Inversion for Geoacoustic Parameters from Ocean Bottom Reflection Loss

Journal of Computational Acoustics, 2017
Geoacoustic inversion is a very important issue in underwater acoustics, and the inversion method based on bottom reflection loss is a valid technique to invert bottom parameters.
Rui Duan, Yuanliang Ma, Peng Xiao, Kunde Yang   +3 more
core   +2 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

Fast Bayesian inversion for high dimensional inverse problems

Statistics and Computing, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kugler, Benoit, Forbes, Florence, Douté, Sylvain   +2 more
openaire   +4 more sources

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