Multiresolution Genetic Algorithms and Markov chain Monte Carlo von Holloman, Christopher H, Lee, Herbert K. H, Higdon, Dave M

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Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media von Lee, Herbert K H, Higdon, Dave M, Bi, Zhuoxin, Ferreira, Marco A R, West, Mike

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Efficient models for correlated data via convolutions of intrinsic processes von Lee, Herbert KH, Higdon, Dave M, Calder, Catherine A, Holloman, Christopher H

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Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting von Holthuijzen, Maike F, Gramacy, Robert B, Carey, Cayelan C, Higdon, Dave M, Thomas, R. Quinn

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Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting von Holthuijzen, Maike F, Gramacy, Robert B, Carey, Cayelan C, Higdon, Dave M, R Quinn Thomas

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Marko random field models for high-dimensional parameters in simulations of fluid flow in porous media von Lee, Herbert K H, Higdon, Dave M, Bi, Zhuoxin, Ferreira, Marco A R, West, Mike

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Error analysis in nuclear density functional theory von Schunck, Nicolas, McDonnell, Jordan D, Sarich, Jason, Wild, Stefan M, Higdon, Dave

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Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method: Advantages of a linear correction for extremes von Holthuijzen, Maike, Beckage, Brian, Clemins, Patrick J., Higdon, Dave, Winter, Jonathan M.

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A Bayesian approach for parameter estimation and prediction using a computationally intensive model von Higdon, Dave, McDonnell, Jordan D, Schunck, Nicolas, Sarich, Jason, Wild, Stefan M

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Combining field data and computer simulations for calibration and prediction von HIGDON, Dave, KENNEDY, Marc, CAVENDISH, James C, CAFEO, John A, RYNE, Robert D

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Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method von Holthuijzen, Maike, Beckage, Brian, Clemins, Patrick J, Higdon, Dave, Winter, Jonathan M

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Constructing High-Resolution, Bias-Corrected Climate Products: A Comparison of Methods von Holthuijzen, Maike F., Beckage, Brian, Clemins, Patrick J., Higdon, Dave, Winter, Jonathan M.

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A Bayesian approach for parameter estimation and prediction using a computationally intensive model von Higdon, Dave, McDonnell, Jordan D., Schunck, Nicolas, Sarich, Jason, Wild, Stefan M.

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A Bayesian approach for parameter estimation and prediction using a computationally intensive model von Higdon, Dave, McDonnell, Jordan D., Schunck, Nicolas, Sarich, Jason, Wild, Stefan M.

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Nonstationary multivariate process modeling through spatially varying coregionalization von Gelfand, Alan E., Schmidt, Alexandra M., Banerjee, Sudipto, Sirmans, C. F.

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Predicting vertical connectivity within an aquifer system von Guadagnini, Laura, Guadagnini, Alberto, Higdon, Dave, Short, Margaret, Tartakovsky, Daniel M.

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Prolonged Rewarming Time During Allograft Implantation Predisposes to Recurrent Hepatitis C Infection After Liver Transplantation von Baron, Pedro W., Sindram, David, Higdon, Dave, Howell, David N., Gottfried, Marcia R., Tuttle-Newhall, Janet E., Clavien, Pierre-Alain

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A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model von Higdon, Dave, McDonnell, Jordan D, Schunck, Nicolas, Sarich, Jason, Wild, Stefan M

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Error Analysis in Nuclear Density Functional Theory von Schunck, Nicolas, McDonnell, Jordan D, Sarich, Jason, Wild, Stefan M, Higdon, Dave

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