Követés
Robert B. Gramacy
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
9662008
Surrogates: Gaussian process modeling, design, and optimization for the applied sciences
RB Gramacy
Chapman and Hall/CRC, 2020
6892020
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, 398-425, 2019
509*2019
Local Gaussian process approximation for large computer experiments
RB Gramacy, DW Apley
Journal of Computational and Graphical Statistics 24 (2), 561-578, 2015
4612015
Cases for the nugget in modeling computer experiments
RB Gramacy, HKH Lee
Statistics and Computing 22, 713-722, 2012
3542012
Adaptive design and analysis of supercomputer experiments
RB Gramacy, HKH Lee
Technometrics 51 (2), 130-145, 2009
3072009
tgp: an R package for Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian process models
RB Gramacy
Journal of Statistical Software 19, 1-46, 2007
2702007
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
269*2010
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
2412018
An open challenge to advance probabilistic forecasting for dengue epidemics
MA Johansson, KM Apfeldorf, S Dobson, J Devita, AL Buczak, B Baugher, ...
Proceedings of the National Academy of Sciences 116 (48), 24268-24274, 2019
2242019
Optimization under unknown constraints
RB Gramacy, HKH Lee
Bayesian Statistics 9 9, 229, 2011
212*2011
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
1852017
laGP: large-scale spatial modeling via local approximate Gaussian processes in R
RB Gramacy
Journal of Statistical Software 72, 1-46, 2016
1822016
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
1812016
Dynamic trees for learning and design
MA Taddy, RB Gramacy, NG Polson
Journal of the American Statistical Association 106 (493), 109-123, 2011
1582011
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
1522011
ACME: Adaptive Caching Using Multiple Experts
I Ari, A Amer, RB Gramacy, EL Miller, SA Brandt, DDE Long
WDAS, 143-158, 2002
1492002
Replication or exploration? Sequential design for stochastic simulation experiments
M Binois, J Huang, RB Gramacy, M Ludkovski
Technometrics 61 (1), 7-23, 2019
1472019
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
129*2008
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
V Picheny, RB Gramacy, S Wild, S Le Digabel
Advances in neural information processing systems 29, 2016
1282016
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Cikkek 1–20