articleSFDS.bbl

\begin{thebibliography}{}

\bibitem[Albert et~al., 2012]{Albert2012}
Albert, I., Donnet, S., Guihenneuc-Jouyaux, C., Low-Choy, S., Mengersen, K.,
  Rousseau, J., et~al. (2012).
\newblock Combining expert opinions in prior elicitation.
\newblock {\em Bayesian Analysis}, 7(3):503--532.

\bibitem[Bachoc et~al., 2014]{bachoc2014}
Bachoc, F., Bois, G., Garnier, J., and Martinez, J.-M. (2014).
\newblock Calibration and improved prediction of computer models by universal
  kriging.
\newblock {\em Nuclear Science and Engineering}, 176(1):81--97.

\bibitem[Bayarri et~al., 2007]{bayarri2007}
Bayarri, M.~J., Berger, J.~O., Paulo, R., Sacks, J., Cafeo, J.~A., Cavendish,
  J., Lin, C.-H., and Tu, J. (2007).
\newblock A framework for validation of computer models.
\newblock {\em Technometrics}, 49(2):138--154.

\bibitem[Brynjarsd{\'o}ttir and OʼHagan, 2014]{jenny}
Brynjarsd{\'o}ttir, J. and OʼHagan, A. (2014).
\newblock Learning about physical parameters: The importance of model
  discrepancy.
\newblock {\em Inverse Problems}, 30(11):114007.

\bibitem[Carmassi, 2018]{CaliCo}
Carmassi, M. (2018).
\newblock {\em CaliCo: Code Calibration in a Bayesian Framework}.
\newblock R package version 0.1.0.

\bibitem[Cox et~al., 2001]{cox2001}
Cox, D.~D., Park, J.-S., and Singer, C.~E. (2001).
\newblock A statistical method for tuning a computer code to a data base.
\newblock {\em Computational statistics \& data analysis}, 37(1):77--92.

\bibitem[Craig et~al., 2001]{craig2001}
Craig, P.~S., Goldstein, M., Rougier, J.~C., and Seheult, A.~H. (2001).
\newblock Bayesian forecasting for complex systems using computer simulators.
\newblock {\em Journal of the American Statistical Association},
  96(454):717--729.

\bibitem[Currin et~al., 1991]{currin1991}
Currin, C., Mitchell, T., Morris, M., and Ylvisaker, D. (1991).
\newblock Bayesian prediction of deterministic functions, with applications to
  the design and analysis of computer experiments.
\newblock {\em Journal of the American Statistical Association},
  86(416):953--963.

\bibitem[Da~Veiga and Marrel, 2012]{da2012gaussian}
Da~Veiga, S. and Marrel, A. (2012).
\newblock Gaussian process modeling with inequality constraints.
\newblock In {\em Annales de la Facult{\'e} des Sciences de Toulouse},
  volume~21, pages 529--555.

\bibitem[Damblin, 2015]{damblin2015}
Damblin, G. (2015).
\newblock {\em Contributions statistiques au calage et {\`a} la validation des
  codes de calcul}.
\newblock PhD thesis, PhD thesis, Universit{\'e} Paris Saclay.

\bibitem[Damblin et~al., 2018]{damblin2018}
Damblin, G., Barbillon, P., Keller, M., Pasanisi, A., and Parent, {\'E}.
  (2018).
\newblock Adaptive numerical designs for the calibration of computer codes.
\newblock {\em SIAM/ASA Journal on Uncertainty Quantification}, 6(1):151--179.

\bibitem[Damblin et~al., 2016]{damblin2016}
Damblin, G., Keller, M., Barbillon, P., Pasanisi, A., and Parent, {\'E}.
  (2016).
\newblock Bayesian model selection for the validation of computer codes.
\newblock {\em Quality and Reliability Engineering International},
  32(6):2043--2054.

\bibitem[Duffie and Beckman, 2013]{duffie2013}
Duffie, J.~A. and Beckman, W.~A. (2013).
\newblock {\em Solar engineering of thermal processes}.
\newblock John Wiley \& Sons.

\bibitem[Fang et~al., 2005]{fang2005}
Fang, K.-T., Li, R., and Sudjianto, A. (2005).
\newblock {\em Design and modeling for computer experiments}.
\newblock CRC Press.

\bibitem[Gu and Wang, 2017]{gu}
Gu, M. and Wang, L. (2017).
\newblock An improved approach to bayesian computer model calibration and
  prediction.
\newblock {\em arXiv preprint arXiv:1707.08215}.

\bibitem[Hastings, 1970]{Hastings1970}
Hastings, W.~K. (1970).
\newblock Monte carlo sampling methods using markov chains and their
  applications.
\newblock {\em Biometrika}, 57(1):97--109.

\bibitem[Higdon et~al., 2008]{higdon2008}
Higdon, D., Gattiker, J., Williams, B., and Rightley, M. (2008).
\newblock Computer model calibration using high-dimensional output.
\newblock {\em Journal of the American Statistical Association},
  103(482):570--583.

\bibitem[Higdon et~al., 2004]{higdon2004}
Higdon, D., Kennedy, M., Cavendish, J.~C., Cafeo, J.~A., and Ryne, R.~D.
  (2004).
\newblock Combining field data and computer simulations for calibration and
  prediction.
\newblock {\em SIAM Journal on Scientific Computing}, 26(2):448--466.

\bibitem[Jones et~al., 1998]{jones1998efficient}
Jones, D.~R., Schonlau, M., and Welch, W.~J. (1998).
\newblock Efficient global optimization of expensive black-box functions.
\newblock {\em Journal of Global optimization}, 13(4):455--492.

\bibitem[Kennedy and O’Hagan, 2001]{kennedy2001b}
Kennedy, M. and O’Hagan, A. (2001).
\newblock Supplementary details on bayesian calibration of computer. rap.
  tech., university of nottingham.
\newblock {\em Statistics Section}.

\bibitem[Kennedy and O'Hagan, 2001]{kennedy2001}
Kennedy, M.~C. and O'Hagan, A. (2001).
\newblock Bayesian calibration of computer models.
\newblock {\em Journal of the Royal Statistical Society: Series B (Statistical
  Methodology)}, 63(3):425--464.

\bibitem[Liu et~al., 2009]{liu2009}
Liu, F., Bayarri, M., Berger, J., et~al. (2009).
\newblock Modularization in bayesian analysis, with emphasis on analysis of
  computer models.
\newblock {\em Bayesian Analysis}, 4(1):119--150.

\bibitem[Luque and Hegedus, 2011]{luque2011}
Luque, A. and Hegedus, S. (2011).
\newblock {\em Handbook of photovoltaic science and engineering}.
\newblock John Wiley \& Sons.

\bibitem[Martin and Ruiz, 2001]{martin2001}
Martin, N. and Ruiz, J. (2001).
\newblock Calculation of the pv modules angular losses under field conditions
  by means of an analytical model.
\newblock {\em Solar Energy Materials and Solar Cells}, 70(1):25--38.

\bibitem[Metropolis et~al., 1953]{metropolis1953}
Metropolis, N., Rosenbluth, A.~W., Rosenbluth, M.~N., Teller, A.~H., and
  Teller, E. (1953).
\newblock Equation of state calculations by fast computing machines.
\newblock {\em The journal of chemical physics}, 21(6):1087--1092.

\bibitem[Morris, 1991]{morris1991}
Morris, M.~D. (1991).
\newblock Factorial sampling plans for preliminary computational experiments.
\newblock {\em Technometrics}, 33(2):161--174.

\bibitem[Morris and Mitchell, 1995]{morris1995exploratory}
Morris, M.~D. and Mitchell, T.~J. (1995).
\newblock Exploratory designs for computational experiments.
\newblock {\em Journal of statistical planning and inference}, 43(3):381--402.

\bibitem[Oberkampf et~al., 1998]{oberkampf1998}
Oberkampf, W.~L., Sindir, M., and Conlisk, A. (1998).
\newblock Guide for the verification and validation of computational fluid
  dynamics simulations.
\newblock {\em American Institute of Aeronautics and Astronautics, Reston, VA}.

\bibitem[Plumlee, 2017]{plumlee2017}
Plumlee, M. (2017).
\newblock Bayesian calibration of inexact computer models.
\newblock {\em Journal of the American Statistical Association},
  112(519):1274--1285.

\bibitem[Pronzato and M{\"u}ller, 2012]{pronzato2012}
Pronzato, L. and M{\"u}ller, W.~G. (2012).
\newblock Design of computer experiments: space filling and beyond.
\newblock {\em Statistics and Computing}, 22(3):681--701.

\bibitem[Roache, 1998]{roache1998}
Roache, P.~J. (1998).
\newblock Verification of codes and calculations.
\newblock {\em AIAA journal}, 36(5):696--702.

\bibitem[Robert, 1996]{robert1996}
Robert, C. (1996).
\newblock {\em M{\'e}thodes de Monte Carlo par cha{\^\i}nes de Markov}.
\newblock Economica.

\bibitem[Rocquigny, 2009]{rocquigny2009quantifying}
Rocquigny, E.~d. (2009).
\newblock Quantifying uncertainty in an industrial approach: an emerging
  consensus in an old epistemological debate.
\newblock {\em SAPI EN. S. Surveys and Perspectives Integrating Environment and
  Society}, (2.1).

\bibitem[Roustant et~al., 2012]{roustant2012}
Roustant, O., Ginsbourger, D., and Deville, Y. (2012).
\newblock Dicekriging, diceoptim: Two r packages for the analysis of computer
  experiments by kriging-based metamodelling and optimization.
\newblock {\em Journal of Statistical Software}, 51(1):54p.

\bibitem[Sacks et~al., 1989]{sacks1989}
Sacks, J., Welch, W.~J., Mitchell, T.~J., and Wynn, H.~P. (1989).
\newblock Design and analysis of computer experiments.
\newblock {\em Statistical science}, pages 409--423.

\bibitem[Santner et~al., 2013]{santner2013}
Santner, T.~J., Williams, B.~J., and Notz, W.~I. (2013).
\newblock {\em The design and analysis of computer experiments}.
\newblock Springer Science \& Business Media.

\bibitem[Tuo et~al., 2015]{tuo2015efficient}
Tuo, R., Wu, C.~J., et~al. (2015).
\newblock Efficient calibration for imperfect computer models.
\newblock {\em The Annals of Statistics}, 43(6):2331--2352.

\bibitem[Tuo and Wu, 2016]{tuo2016theoretical}
Tuo, R. and Wu, J. (2016).
\newblock A theoretical framework for calibration in computer models:
  parametrization, estimation and convergence properties.
\newblock {\em SIAM/ASA Journal on Uncertainty Quantification}, 4(1):767--795.

\bibitem[Wong et~al., 2017]{wong2017}
Wong, R.~K., Storlie, C.~B., and Lee, T. (2017).
\newblock A frequentist approach to computer model calibration.
\newblock {\em Journal of the Royal Statistical Society: Series B (Statistical
  Methodology)}, 79(2):635--648.

\end{thebibliography}