Fetching the paper…
Reading the bibliography…
We provide a new approach to approximate emulation of large computer experiments.
“River flow forecasting through conceptual models part I — A discussion of principles.”
Nash, J. E. and Sutcliffe, J. V. (1970) · 1970
Earlier work this paper cites.
“Deterministic Uncertainty Analysis.”
Worley, B. (1987) · 1979
Earlier work this paper cites.
Matrix Methods for Engineers and Scientists
Barnett, S. (1979) · 1979
Earlier work this paper cites.
“Estimation and model identification for continuous spatial processes.”
Vecchia, A. (1988) · 1988
Earlier work this paper cites.
Statistics for Spatial Data, revised edition
Cressie, N. (1991) · 1991
Earlier work this paper cites.
“Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction.”
Morris, D., Mitchell, T., and Ylvisaker, D. (1993) · 1993
Earlier work this paper cites.
“Neural Network Exploration using Optimal Experimental Design.”
Cohn, D. A. (1996) · 1996
Earlier work this paper cites.
“Gaussian Process Regression: Active Data Selection and Test Point Rejection.”
Seo, S., Wallat, M., Graepel, T., and Obermayer, K. (2000) · 2000
Earlier work this paper cites.
“Objective Bayesian Analysis of Spatially Correlated Data.”
Berger, J., De Oliveira, V., and Sanso, B. (2001) · 2001
Cited alongside, same era.
The Design and Analysis of Computer Experiments
Santner, T. J., Williams, B. J., and Notz, W. I. (2003) · 2003
Cited alongside, same era.
“Bayesian Inference for Nonstationary Spatial Covariance Structure via Spatial Deformations.”
Schmidt, A. M. and O’Hagan, A. (2003) · 2003
Cited alongside, same era.
“Approximating Likelihoods for Large Spatial Data Sets.”
Stein, M. L., Chi, Z., and Welty, L. J. (2004) · 2004
Cited alongside, same era.
“Spatial Modelling Using a New Class of Nonstationary Covariance Functions.”
Paciorek, C. J. and Schervish, M. J. (2006) · 2006
Cited alongside, same era.
“Sparse Gaussian Processes using Pseudo-inputs.”
Snelson, E. and Ghahramani, Z. (2006) · 2006
“Adaptive Design and Analysis of Supercomputer Experiments.”
Gramacy, R. B. and Lee, H. K. H. (2009) · 2009
Later among the works it cites.
“Particle Learning of Gaussian Process Models for Sequential Design and Optimization.”
Gramacy, R. and Polson, N. (2011) · 2011
Later among the works it cites.
“Accurate Emulators for Large-Scale Computer Experiments.”
Haaland, B. and Qian, P. (2011) · 2011
Later among the works it cites.
“A Computationally Stable Approach to Gaussian Process Interpolation of Deterministic Computer Simulation Data.”
Ranjan, P., Haynes, R., and Karsten, R. (2011) · 2011
Later among the works it cites.
“Efficient Emulators of Computer Experiments Using Compactly Supported Correlation Functions, With An Application to Cosmology.”
Kaufman, C., Bingham, D., Habib, S., Heitmann, K., and Frieman, J. (2012) · 2012
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
“Fixed Rank Kriging for Very Large Data Sets.”
Cressie, N. and Johannesson, G. (2008) · 2008
Cited alongside, same era.
“The kriging update equations and their application to the selection of neighboring data.”
Emory, X. (2009) · 2009
Cited alongside, same era.
“Optimization under unknown constraints.”
Gramacy, R. and Lee, H. (2011b)
Cited in the paper.
“Cases for the nugget in modeling computer experiments.”
Gramacy, R. and Lee, H. (2011a)
Cited in the paper.
Peng, C. and Wu, C. (2012) · 2012
Later among the works it cites.
“Information-Theoretic Data Discarding for Dynamic Trees on Data Streams.”
Anagnostopoulos, C. and Gramacy, R. B. (2013) · 2013
Closest in time.
“Massively Parallel Approximate Gaussian Process Regression.”
Gramacy, R., Niemi, J., and Weiss, R. (2013) · 2013
Closest in time.