Robert B. Gramacy

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Mickael BinoisInria Sophia Antipolis - MéditerranéeDirección de correo verificada de inria.fr
Nicholas W WatkinsVisiting Professor, LSEDirección de correo verificada de lse.ac.uk
Christian L. E. FranzkeCenter for Climate Physics, Institute for Basic Science (IBS), Pusan National UniversityDirección de correo verificada de pusan.ac.kr
Stefan M. WildBerkeley Lab, Applied Mathematics & Computational Research DivisionDirección de correo verificada de lbl.gov
Furong SunAmazonDirección de correo verificada de amazon.com
Sébastien Le DigabelGERAD and Polytechnique MontréalDirección de correo verificada de polymtl.ca
Mike LudkovskiProfessor, UC Santa BarbaraDirección de correo verificada de pstat.ucsb.edu
Leah R. JohnsonVirginia TechDirección de correo verificada de vt.edu
Nick PolsonProfessor of Econometrics and Statistics, University of ChicagoDirección de correo verificada de chicagobooth.edu
Jiangeng HuangAbbVieDirección de correo verificada de abbvie.com
Ben HaalandUniversity of UtahDirección de correo verificada de hsc.utah.edu
Finn LindgrenUniversity of EdinburghDirección de correo verificada de ed.ac.uk
Reinhard FurrerProfessor of Applied Statistics, University of ZurichDirección de correo verificada de math.uzh.ch
Matthias KatzfussProfessor of Statistics, University of Wisconsin–MadisonDirección de correo verificada de wisc.edu
Matthew HeatonAssociate Professor, Department of Statistics, Brigham Young UniversityDirección de correo verificada de stat.byu.edu
Abhirup DattaAssociate Professor, Biostatistics, Bloomberg School of Public Health, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Andrew FinleyDepartment of Forestry, Michigan State UniversityDirección de correo verificada de msu.edu
Andrew Zammit MangionUniversity of WollongongDirección de correo verificada de uow.edu.au
Douglas NychkaProfessor, Applied Mathematics and Statistics, Colorado School of MinesDirección de correo verificada de mines.edu
Dorit HammerlingAssociate Professor of StatisticsDirección de correo verificada de mines.edu

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Robert B. Gramacy

Virginia Tech

Dirección de correo verificada de vt.edu - Página principal

statistics machine learning optimization uncertainty quantification


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	916	2008
Surrogates: Gaussian process modeling, design, and optimization for the applied sciences RB Gramacy Chapman and Hall/CRC, 2020	519	2020
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	413	2015
Cases for the nugget in modeling computer experiments RB Gramacy, HKH Lee Statistics and Computing 22, 713-722, 2012	326	2012
Adaptive design and analysis of supercomputer experiments RB Gramacy, HKH Lee Technometrics 51 (2), 130-145, 2009	282	2009
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	251	2007
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	242	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	202	2018
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	190	2019
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	171	2017
laGP: large-scale spatial modeling via local approximate Gaussian processes in R RB Gramacy Journal of Statistical Software 72, 1-46, 2016	162	2016
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	158	2016
Dynamic trees for learning and design MA Taddy, RB Gramacy, NG Polson Journal of the American Statistical Association 106 (493), 109-123, 2011	147	2011
ACME: Adaptive Caching Using Multiple Experts I Ari, A Amer, RB Gramacy, EL Miller, SA Brandt, DDE Long WDAS, 143-158, 2002	144	2002
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	142	2011
Replication or exploration? Sequential design for stochastic simulation experiments M Binois, J Huang, RB Gramacy, M Ludkovski Technometrics 61 (1), 7-23, 2019	125	2019
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

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