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Methods for Bayesian inversion of seismic data [PDF]
, 2015 The purpose of Bayesian seismic inversion is to combine information derived from seismic data and prior geological knowledge to determine a posterior probability distribution over parameters describing the elastic and geological properties of the ...
Walker, Matthew James
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Journal of Marine Science and Engineering, 2019 The key to model-based Bayesian geoacoustic inversion is to solve the posterior probability distributions (PPDs) of parameters. In order to obtain PPDs more efficiently and accurately, the state-of-the-art Markov chain Monte Carlo (MCMC) method, multiple-
Bo Zou +5 more
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Bayesian Approach to Inverse Quantum Statistics [PDF]
Physical Review Letters, 2000 A nonparametric Bayesian approach is developed to determine quantum potentials from empirical data for quantum systems at finite temperature. The approach combines the likelihood model of quantum mechanics with a priori information over potentials implemented in form of stochastic processes.
Lemm, J. C., Uhlig, J., Weiguny, A.
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, 2020 ## This item has been replaced by the one which can be found at https://datashare.ed.ac.uk/handle/10283/3886 ## This dataset contains the synthetic data and codes used to generate those data for manuscript "Bayesian geophysical inversion using ...
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A Novel Approach for Bathymetry Estimation through Bayesian Gravity Inversion
Geosciences, 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
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Parallelized Adaptive Importance Sampling for Solving Inverse Problems
Frontiers in Earth Science, 2018 In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli +2 more
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Efficient probabilistic inversion of geophysical data [PDF]
, 2019 Estimation of uncertainties is critical for subsequent decision making in all applications of geosciences such as geological hazard analysis and risk mitigation, management and exploitation of subsurface resources, and environmental waste disposal ...
Nawaz, Muhammad Atif
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Frontiers in Marine Science, 2023 Underwater acoustic technology is essential for ocean observation, exploration and exploitation, and its development is based on an accurate predication of underwater acoustic wave propagation.
Hanhao Zhu +9 more
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Inversion of Bayesian networks
International Journal of Approximate ReasoningVariational autoencoders and Helmholtz machines use a recognition network (encoder) to approximate the posterior distribution of a generative model (decoder). In this paper we study the necessary and sufficient properties of a recognition network so that it can model the true posterior distribution exactly.
Jesse van Oostrum +2 more
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, 2009 Evapotranspiration is usually estimated in remote sensing from single temperature value representing both soil and vegetation. This surface temperature is an aggregate over multiple canopy components.
Tol, C., van der +3 more
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