Probabilistic inversion of expert assessments to inform projections about Antarctic ice sheet responses. [PDF]
PLoS ONE, 2017 The response of the Antarctic ice sheet (AIS) to changing global temperatures is a key component of sea-level projections. Current projections of the AIS contribution to sea-level changes are deeply uncertain.
Robert William Fuller +2 more
doaj +1 more source
Transform-based particle filtering for elliptic Bayesian inverse problems [PDF]
, 2019 We introduce optimal transport based resampling in adaptive SMC. We consider elliptic inverse problems of inferring hydraulic conductivity from pressure measurements.
Dubinkina, Svetlana +2 more
core +4 more sources
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
openaire +3 more sources
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis [PDF]
International Journal of Mining and Geo-Engineering, 2015 Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of ...
Moslem Moradi +4 more
doaj
A VTI anisotropic media inversion method based on the exact reflection coefficient equation
Frontiers in Physics, 2022 Anisotropy is widespread in the Earth’s crust, and VTI (vertical axis symmetry transverse isotropy) anisotropy is common due to stratigraphic pressure. Disregarding anisotropy leads to inaccurate inversion results in VTI media.
Fan Wu +11 more
doaj +1 more source
Constraining landslide characteristics with Bayesian inversion of field and seismic data
, 2020 Using a fully nonlinear Bayesian approach based on forward modelling of granular flow, we invert for landslide parameters (volume, release geometry and rheology) from different kinds of observations.
L. Moretti +6 more
semanticscholar +1 more source
Geothermal Heat Flux in Antarctica: Assessing Models and Observations by Bayesian Inversion
Frontiers in Earth Science, 2020 Geothermal heat flux under the Antarctic ice is one of the least known parameters. Different methods (based on e.g., magnetic or seismic data) have been applied in recent years to quantify the thermal structure and the geothermal heat flux, resulting in ...
M. Lösing, J. Ebbing, W. Szwillus
semanticscholar +1 more source
Inverse problems: A Bayesian perspective [PDF]
Acta Numerica, 2010 The subject of inverse problems in differential equations is of enormous practical importance, and has also generated substantial mathematical and computational innovation. Typically some form of regularization is required to ameliorate ill-posed behaviour.
openaire +2 more sources
Bayesian inversion of magnetotelluric data considering dimensionality discrepancies
, 2020 Bayesian inversion of magnetotelluric (MT) data is a powerful but computationally expensive approach to estimate the subsurface electrical conductivity distribution and associated uncertainty.
H. Seillé, G. Visser
semanticscholar +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source