Bayesian calibration of a large-scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithm

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling

(2011) J. A. Vrugt et al.   INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION

Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations

(2011) H. P. Flath et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

A wavelet approach to adjoint state sensitivity computation for steady state differential equations

(2011) Abeeb A. Awotunde et al.   WATER RESOURCES RESEARCH

Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods

(2010) A. Mondal et al.   ADVANCES IN WATER RESOURCES

Reduced-order estimation of nonstationary flows with electrical impedance tomography

(2010) A Lipponen et al.   INVERSE PROBLEMS

Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems

(2010) Chad Lieberman et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

Parameter estimation in nonlinear environmental problems

(2010) Xiaoyi Liu et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Optimization and uncertainty assessment of strongly nonlinear groundwater models with high parameter dimensionality

(2010) Elizabeth H. Keating et al.   WATER RESOURCES RESEARCH

A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors

(2010) Gerrit Schoups et al.   WATER RESOURCES RESEARCH

Dynamic inversion for hydrological process monitoring with electrical resistance tomography under model uncertainties

(2010) A. Lehikoinen et al.   WATER RESOURCES RESEARCH

Corruption of accuracy and efficiency of Markov chain Monte Carlo simulation by inaccurate numerical implementation of conceptual hydrologic models

(2010) G. Schoups et al.   WATER RESOURCES RESEARCH

Bayesian inverse problem and optimization with iterative spatial resampling

(2010) Grégoire Mariethoz et al.   WATER RESOURCES RESEARCH

Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors

(2010) Benjamin Renard et al.   WATER RESOURCES RESEARCH

MARGINALIZATION OF UNINTERESTING DISTRIBUTED PARAMETERS IN INVERSE PROBLEMS—APPLICATION TO DIFFUSE OPTICAL TOMOGRAPHY

(2010) Ville Kolehmainen et al.   International Journal for Uncertainty Quantification

A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments

(2009) H.J. Hendricks Franssen et al.   ADVANCES IN WATER RESOURCES

Examples of Adaptive MCMC

(2009) Gareth O. Roberts et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis

(2009) Mark Thyer et al.   WATER RESOURCES RESEARCH

Uncertainty assessment and data worth in groundwater flow and mass transport modeling using a blocking Markov chain Monte Carlo method

(2008) Jianlin Fu et al.   JOURNAL OF HYDROLOGY

Differential Evolution Markov Chain with snooker updater and fewer chains

(2008) Cajo J. F. ter Braak et al.   STATISTICS AND COMPUTING

Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

(2008) Jasper A. Vrugt et al.   WATER RESOURCES RESEARCH

Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques

(2008) Tyler Jon Smith et al.   WATER RESOURCES RESEARCH