Pages that link to "Item:Q981222"
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The following pages link to A Markov random field model of contamination source identification in porous media flow (Q981222):
Displaying 12 items.
- Multiscale model reduction method for Bayesian inverse problems of subsurface flow (Q515766) (← links)
- Source identification for unsteady atmospheric dispersion of hazardous materials using Markov chain Monte Carlo method (Q833672) (← links)
- A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters (Q843476) (← links)
- A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach (Q924474) (← links)
- Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems (Q1009939) (← links)
- An iterative method based on coupled closed-form coefficients expansions for recovering the pollutant source and initial pollution profile (Q2012589) (← links)
- Contaminant spill in a sandbox with non-Gaussian conductivities: simultaneous identification by the restart normal-score ensemble Kalman filter (Q2066823) (← links)
- Sparse variational Bayesian approximations for nonlinear inverse problems: applications in nonlinear elastography (Q2414583) (← links)
- A nonlinear multigrid method for inverse problem in the multiphase porous media flow (Q2422984) (← links)
- Contaminant transport forecasting in the subsurface using a Bayesian framework (Q2660097) (← links)
- A new numerical method for the inverse source problem from a Bayesian perspective (Q3018047) (← links)
- The backward group preserving scheme for 1D backward in time advection-dispersion equation (Q3404533) (← links)
