Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction
暂无分享,去创建一个
[1] Daniel W. Apley,et al. Improving Identifiability in Model Calibration Using Multiple Responses , 2012, DAC 2011.
[2] Victor De Oliveira,et al. Objective Bayesian analysis of spatial data with measurement error , 2007 .
[3] D. Higdon,et al. Computer Model Calibration Using High-Dimensional Output , 2008 .
[4] Peter Z. G. Qian,et al. Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments , 2008, Technometrics.
[5] James O. Berger,et al. Robust Gaussian stochastic process emulation , 2017, The Annals of Statistics.
[6] Danilo L. Lopes,et al. Development and Implementation of Bayesian Computer Model Emulators , 2011 .
[7] Paul D. Arendt,et al. Quantification of model uncertainty: Calibration, model discrepancy, and identifiability , 2012 .
[8] James O. Berger,et al. RobustGaSP: Robust Gaussian Stochastic Process Emulation in R , 2018, R J..
[9] James O. Berger,et al. A Framework for Validation of Computer Models , 2007, Technometrics.
[10] J. Nocedal. Updating Quasi-Newton Matrices With Limited Storage , 1980 .
[11] J. Berger,et al. Objective Bayesian Analysis of Spatially Correlated Data , 2001 .
[12] Curtis B. Storlie,et al. A frequentist approach to computer model calibration , 2014, 1411.4723.
[13] A. O'Hagan,et al. Bayesian calibration of computer models , 2001 .
[14] Andy J. Keane,et al. Engineering Design via Surrogate Modelling - A Practical Guide , 2008 .
[15] James O. Berger,et al. Modularization in Bayesian analysis, with emphasis on analysis of computer models , 2009 .
[16] K. Anderson,et al. Abundant carbon in the mantle beneath Hawai‘i , 2017 .
[17] Mengyang Gu Gu,et al. Robust Uncertainty Quantification and Scalable Computation for Computer Models with Massive Output , 2016 .
[18] M. Plumlee. Bayesian Calibration of Inexact Computer Models , 2017 .
[19] Roger Woodard,et al. Interpolation of Spatial Data: Some Theory for Kriging , 1999, Technometrics.
[20] James O. Berger,et al. Parallel partial Gaussian process emulation for computer models with massive output , 2016 .
[21] James O. Berger,et al. Using Statistical and Computer Models to Quantify Volcanic Hazards , 2009, Technometrics.
[22] K. Anderson,et al. Bayesian estimation of magma supply, storage, and eruption rates using a multiphysical volcano model: Kīlauea Volcano, 2000–2012 , 2016 .
[23] Rui Paulo. Default priors for Gaussian processes , 2005 .
[24] Jeong Soo Park. Tuning complex computer codes to data and optimal designs , 1992 .
[25] Yves Deville,et al. DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization , 2012 .
[26] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[27] C. F. Wu,et al. Efficient Calibration for Imperfect Computer Models , 2015, 1507.07280.
[28] Sonja Kuhnt,et al. Design and analysis of computer experiments , 2010 .
[29] K. Feigl,et al. Radar interferometry and its application to changes in the Earth's surface , 1998 .
[30] By Rui Tuo. A THEORETICAL FRAMEWORK FOR CALIBRATION IN COMPUTER MODELS : PARAMETRIZATION , ESTIMATION AND CONVERGENCE PROPERTIES , 2013 .
[31] Mengyang Gu. Jointly Robust Prior for Gaussian Stochastic Process in Emulation, Calibration and Variable Selection , 2018, Bayesian Analysis.