Results 1 to 10 of about 70,047 (140)
Bayesian Inversion for Geoacoustic Parameters in Shallow Sea [PDF]
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.
Guangxue Zheng +5 more
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InvertypeR: Bayesian inversion genotyping with Strand-seq data [PDF]
BMC Genomics, 2021 Background Single cell Strand-seq is a unique tool for the discovery and phasing of genomic inversions. Conventional methods to discover inversions with Strand-seq data are blind to known inversion locations, limiting their statistical power for the ...
Vincent C. T. Hanlon +4 more
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Ultrafast current imaging by Bayesian inversion [PDF]
Nature Communications, 2018 Scanning probe microscopy is widely used to characterize material properties with atomic resolution, yet electronic property mapping is normally constrained by slow data acquisition. Somnath et al.
S. Somnath +10 more
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QEKI: A Quantum–Classical Framework for Efficient Bayesian Inversion of PDEs [PDF]
EntropySolving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional parameter spaces ...
Jiawei Yong, Sihai Tang
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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 +4 more
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Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework [PDF]
Scientific ReportsRapid 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 +4 more
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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
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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 +3 more
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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 +4 more
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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
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