Computer Model Calibration Using High-Dimensional Output
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[1] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[2] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[3] A. O'Hagan,et al. Curve Fitting and Optimal Design for Prediction , 1978 .
[5] J. Q. Smith,et al. 1. Bayesian Statistics 4 , 1993 .
[6] Boxin Tang. Orthogonal Array-Based Latin Hypercubes , 1993 .
[7] Kerrie Mengersen,et al. [Bayesian Computation and Stochastic Systems]: Rejoinder , 1995 .
[8] J. Besag,et al. Bayesian Computation and Stochastic Systems , 1995 .
[9] Henning Omre,et al. Uncertainty in Production Forecasts based on Well Observations, Seismic Data and Production History , 2001 .
[10] Kenneth M. Hanson,et al. Operation of the Bayes Inference Engine , 1999 .
[11] Kenny Q. Ye,et al. Algorithmic construction of optimal symmetric Latin hypercube designs , 2000 .
[12] E. Somersalo,et al. Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography , 2000 .
[13] A. O'Hagan,et al. Predicting the output from a complex computer code when fast approximations are available , 2000 .
[14] L. Mark Berliner,et al. Monte Carlo Based Ensemble Forecasting , 2001, Stat. Comput..
[15] B. Silverman,et al. Functional Data Analysis , 1997 .
[16] A. O'Hagan,et al. Bayesian calibration of computer models , 2001 .
[17] James O. Berger,et al. Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems , 2003 .
[18] A. Shapiro. Monte Carlo Sampling Methods , 2003 .
[19] Stephen J. Leary,et al. Optimal orthogonal-array-based latin hypercubes , 2003 .
[20] Chris Snyder,et al. Toward a nonlinear ensemble filter for high‐dimensional systems , 2003 .
[21] A. O'Hagan,et al. Probabilistic sensitivity analysis of complex models: a Bayesian approach , 2004 .
[22] E. Somersalo,et al. Statistical and computational inverse problems , 2004 .
[23] David Higdon,et al. A process-convolution approach to modelling temperatures in the North Atlantic Ocean , 1998, Environmental and Ecological Statistics.
[24] Dave Higdon,et al. Combining Field Data and Computer Simulations for Calibration and Prediction , 2005, SIAM J. Sci. Comput..
[25] Michael Goldstein,et al. Probabilistic Formulations for Transferring Inferences from Mathematical Models to Physical Systems , 2005, SIAM J. Sci. Comput..
[26] Sallie Keller-McNulty,et al. Combining experimental data and computer simulations, with an application to flyer plate experiments , 2006 .
[27] Kenny Q. Ye,et al. Variable Selection for Gaussian Process Models in Computer Experiments , 2006, Technometrics.
[28] Jim Kao,et al. Estimating model parameters for an impact-produced shock-wave simulation: Optimal use of partial data with the extended Kalman filter , 2006, J. Comput. Phys..
[29] James O. Berger,et al. A Framework for Validation of Computer Models , 2007, Technometrics.
[30] Surette Oosthuizen,et al. Variable Selection , 2010, Encyclopedia of Machine Learning.
[31] Sonja Kuhnt,et al. Design and analysis of computer experiments , 2010 .