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In this article, we present a recently released R package for Bayesian calibration.
Equation of state calculations by fast computing machines
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Monte carlo sampling methods using markov chains and their applications
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Design and analysis of computer experiments
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Bayesian prediction of deterministic functions, with applications to the design and analysis of computer experiments
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Inference from iterative simulation using multiple sequences
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A statistical method for tuning a computer code to a data base
Cox, D. D., Park, J.-S., and Singer, C. E. (2001) · 2001
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Bayesian calibration of computer models
Kennedy, M. C. and O’Hagan, A. (2001) · 2001
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Combining field data and computer simulations for calibration and prediction
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Design and modeling for computer experiments
Fang, K.-T., Li, R., and Sudjianto, A. (2005) · 2005
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A framework for validation of computer models
Bayarri, M. J., Berger, J. O., Paulo, R., Sacks, J., Cafeo, J. A., Cavendish, J., Lin, C.-H., and Tu, J. (2007) · 2007
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Modularization in bayesian analysis, with emphasis on analysis of computer models
Liu, F., Bayarri, M., Berger, J., et al. (2009) · 2009
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The design and analysis of computer experiments
Santner, T. J., Williams, B. J., and Notz, W. I. (2013) · 2013
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emulator : Bayesian emulation of computer programs
Hankin, R. K. S. (2014) · 2014
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DiceDesign : Designs of Computer Experiments
Franco, J., Dupuy, D., Roustant, O., Damblin, G., and Iooss, B. (2015) · 2015
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GPfit : Gaussian Processes Modeling
MacDoanld, B., Chipman, H., and Ranjan, P. (2015) · 2015
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R6 : Classes with Reference Semantics
Chang, W. (2017) · 2017
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Scaled gaussian stochastic process for computer model calibration and prediction
Gu, M. and Wang, L. (2017) · 2017
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SAVE : Bayesian Emulation, Calibration and Validation of Computer Models
Palomo, J., Garcia-Donato, G., Paulo, R., Berger, J., Bayarri, M. J., and Sacks, J. (2017) · 2017
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Bayesian calibration of a numerical code for prediction
Carmassi, M., Barbillon, P., Chiodetti, M., Keller, M., and Parent, E. (2018) · 2018
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Adaptive numerical designs for the calibration of computer codes
Damblin, G., Barbillon, P., Keller, M., Pasanisi, A., and Parent, É. (2018) · 2018
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Rcpp : Seamless R and C++ Integration
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DiceKriging : Kriging Methods for Computer Experiments
Roustant, O., Gainsbourger, D., and Deville, Y. (2015) · 2015
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coda : Output Analysis and Diagnostics for MCMC
Plummer, M., Best, N., Cowles, K., Vines, K., Sarkar, D., Bates, D., Almond, R., and Magnusson, A. (2016) · 2016
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ggplot2 : Create Elegant Data Visualisations Using the Grammar of Graphics
Wickham, H. and Chang, W. (2016) · 2016
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Gu, M. (2018a)
Cited in the paper.
RobustCalibration : Robust Calibration of Imperfect Mathematical Models
Gu, M. (2018b)
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approximator : Bayesian prediction of complex computer codes
Hankin, R. K. S. (2013a)
Cited in the paper.
Eddelbuettel, D., Francois, R., Allaire, J., Ushey, K., Kou, Q., Russell, N., Bates, D., and Chambers, J. (2018) · 2018
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mvtnorm : Multivariate Normal and t Distributions
Genz, A., Bretz, F., Miwa, T., Mi, X., Leisch, F., Scheipl, F., Bornkamp, B., Maechler, M., and Hothorn, T. (2018) · 2018
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RobustGaSP : Robust Gaussian Stochastic Process Emulation
Mengyang Gu, J. P. and Berger, J. (2018) · 2018
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Bayesian model selection for the validation of computer codes
Damblin, G., Keller, M., Barbillon, P., Pasanisi, A., and Parent, É. (2016) · 2054
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