Pages that link to "Item:Q695718"
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The following pages link to A review of Markov chain Monte Carlo and information theory tools for inverse problems in subsurface flow (Q695718):
Displaying 14 items.
- Using Bayesian statistics to capture the effects of modelling errors in inverse problems (Q354112) (← links)
- Optimizing subsurface field data acquisition using information theory (Q993429) (← links)
- A blocking Markov chain Monte Carlo method for inverse stochastic hydrogeological modeling (Q1023973) (← links)
- A reduced-order model for Monte Carlo simulations of stochastic groundwater flow (Q1663649) (← links)
- Bayesian model calibration and optimization of surfactant-polymer flooding (Q2009830) (← links)
- Randomized reduced forward models for efficient Metropolis-Hastings MCMC, with application to subsurface fluid flow and capacitance tomography (Q2023287) (← links)
- Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation (Q2192848) (← links)
- Parameter estimation in nonlinear environmental problems (Q2323563) (← links)
- Efficient parameter estimation for a methane hydrate model with active subspaces (Q2418684) (← links)
- Efficient estimation of hydraulic conductivity heterogeneity with non-redundant measurement information (Q2663761) (← links)
- A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow (Q3452536) (← links)
- A method for approximate fully bayesian analysis of parameters (Q4387690) (← links)
- A Bayesian-MCMC approach to identify the unknown parameters in Fisher equation (Q5368443) (← links)
- On spatially correlated observations in importance sampling methods for subsidence estimation (Q6125026) (← links)