Robert B. Gramacy
Title
Cited by
Cited by
Year
Bayesian treed Gaussian process models with an application to computer modeling
RB Gramacy, HKH Lee
Journal of the American Statistical Association 103 (483), 1119-1130, 2008
6502008
Local Gaussian process approximation for large computer experiments
RB Gramacy, DW Apley
Journal of Computational and Graphical Statistics 24 (2), 561-578, 2015
2562015
Cases for the nugget in modeling computer experiments
RB Gramacy, HKH Lee
Statistics and Computing 22 (3), 713-722, 2012
2272012
A case study competition among methods for analyzing large spatial data
MJ Heaton, A Datta, AO Finley, R Furrer, J Guinness, R Guhaniyogi, ...
Journal of Agricultural, Biological and Environmental Statistics 24 (3), 398-425, 2019
218*2019
tgp: an R package for Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian process models
RB Gramacy
Journal of Statistical Software 19 (9), 6, 2007
2172007
Adaptive design and analysis of supercomputer experiments
RB Gramacy, HKH Lee
Technometrics 51 (2), 130-145, 2009
2082009
Categorical inputs, sensitivity analysis, optimization and importance tempering with tgp version 2, an R package for treed Gaussian process models
RB Gramacy, M Taddy
Journal of Statistical Software 33, 1-48, 2010
196*2010
Importance tempering
R Gramacy, R Samworth, R King
Statistics and Computing 20 (1), 1-7, 2010
1952010
Optimization under unknown constraints
RB Gramacy, HKH Lee
Bayesian Statistics 9 9, 229, 2011
132*2011
ACME: Adaptive Caching Using Multiple Experts
I Ari, A Amer, RB Gramacy, EL Miller, SA Brandt, DDE Long
WDAS, 143-158, 2002
1292002
Particle learning of Gaussian process models for sequential design and optimization
RB Gramacy, NG Polson
Journal of Computational and Graphical Statistics 20 (1), 102-118, 2011
1232011
Dynamic trees for learning and design
MA Taddy, RB Gramacy, NG Polson
Journal of the American Statistical Association 106 (493), 109-123, 2011
1192011
Bayesian treed Gaussian process models
RB Gramacy
University of California, Santa Cruz, 2005
1142005
Practical heteroscedastic Gaussian process modeling for large simulation experiments
M Binois, RB Gramacy, M Ludkovski
Journal of Computational and Graphical Statistics 27 (4), 808-821, 2018
1052018
Modeling an augmented Lagrangian for blackbox constrained optimization
RB Gramacy, GA Gray, S Le Digabel, HKH Lee, P Ranjan, G Wells, ...
Technometrics 58 (1), 1-11, 2016
1032016
A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA, 1951–1980
T Graves, R Gramacy, N Watkins, C Franzke
Entropy 19 (9), 437, 2017
102*2017
laGP: large-scale spatial modeling via local approximate Gaussian processes in R
RB Gramacy
Journal of Statistical Software 72 (1), 1-46, 2016
882016
Adaptive caching by refetching
RB Gramacy, MK Warmuth, SA Brandt, İ Arı
Advances in Neural Information Processing Systems 15, 1465–1472, 2003
872003
Parameter space exploration with Gaussian process trees
RB Gramacy, HKH Lee, WG Macready
Proceedings of the twenty-first international conference on Machine learning, 45, 2004
822004
Geometry: mesh generation and surface tesselation
R Grasman, RB Gramacy
R package version 0.1-4. URL http://cran. r-project. org/web/packages/geometry, 2008
73*2008
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Articles 1–20