Следене
Robert B. Gramacy
Заглавие
Позовавания
Позовавания
Година
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
9162008
Surrogates: Gaussian process modeling, design, and optimization for the applied sciences
RB Gramacy
Chapman and Hall/CRC, 2020
5202020
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
433*2019
Local Gaussian process approximation for large computer experiments
RB Gramacy, DW Apley
Journal of Computational and Graphical Statistics 24 (2), 561-578, 2015
4132015
Cases for the nugget in modeling computer experiments
RB Gramacy, HKH Lee
Statistics and Computing 22, 713-722, 2012
3272012
Adaptive design and analysis of supercomputer experiments
RB Gramacy, HKH Lee
Technometrics 51 (2), 130-145, 2009
2822009
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
2512007
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
249*2010
Importance tempering
R Gramacy, R Samworth, R King
Statistics and Computing 20 (1), 1-7, 2010
2422010
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
2022018
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
1902019
Optimization under unknown constraints
RB Gramacy, HKH Lee
Bayesian Statistics 9 9, 229, 2011
184*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
1712017
laGP: large-scale spatial modeling via local approximate Gaussian processes in R
RB Gramacy
Journal of Statistical Software 72, 1-46, 2016
1622016
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
1582016
Dynamic trees for learning and design
MA Taddy, RB Gramacy, NG Polson
Journal of the American Statistical Association 106 (493), 109-123, 2011
1472011
ACME: Adaptive Caching Using Multiple Experts
I Ari, A Amer, RB Gramacy, EL Miller, SA Brandt, DDE Long
WDAS, 143-158, 2002
1442002
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
1422011
Replication or exploration? Sequential design for stochastic simulation experiments
M Binois, J Huang, RB Gramacy, M Ludkovski
Technometrics 61 (1), 7-23, 2019
1252019
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
119*2008
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20