Pages that link to "Item:Q2399813"
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The following pages link to Bayesian Gaussian mixture linear inversion for geophysical inverse problems (Q2399813):
Displaying 18 items.
- Inversion and geodiversity: searching model space for the answers (Q887613) (← links)
- A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support (Q888403) (← links)
- Oscillatory pumping test to estimate aquifer hydraulic parameters in a Bayesian geostatistical framework (Q1719862) (← links)
- Boolean spectral analysis in categorical reservoir modeling (Q2040680) (← links)
- Comparison of recursive neural network and Markov chain models in facies inversion (Q2040689) (← links)
- Prestack Bayesian linearized inversion with decorrelated prior information (Q2040695) (← links)
- A residual-driven adaptive Gaussian mixture approximation for Bayesian inverse problems (Q2050925) (← links)
- Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification (Q2130944) (← links)
- Gaussian mixture model fitting method for uncertainty quantification by conditioning to production data (Q2185981) (← links)
- Iterative geostatistical seismic inversion incorporating local anisotropies (Q2192837) (← links)
- Geostatistical seismic inversion with self-updating of local probability distributions (Q2238090) (← links)
- Bayesian lithology/fluid inversion -- comparison of two algorithms (Q2269072) (← links)
- Stochastic seismic waveform inversion using generative adversarial networks as a geological prior (Q2284094) (← links)
- A Bayesian linear model for the high-dimensional inverse problem of seismic tomography (Q2443172) (← links)
- Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint (Q5052899) (← links)
- Non-stationary multi-layered Gaussian priors for Bayesian inversion (Q5150818) (← links)
- Geostatistical rock physics inversion for predicting the spatial distribution of porosity and saturation in the critical zone (Q6062082) (← links)
- Learning from small data sets: patch-based regularizers in inverse problems for image reconstruction (Q6664951) (← links)
