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Matt Plumlee
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Bayesian calibration of inexact computer models
M Plumlee
Journal of the American Statistical Association 112 (519), 1274-1285, 2017
1422017
Get on the BAND wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics
DR Phillips, RJ Furnstahl, U Heinz, T Maiti, W Nazarewicz, FM Nunes, ...
Journal of Physics G: Nuclear and Particle Physics 48 (7), 072001, 2021
762021
Calibrating functional parameters in the ion channel models of cardiac cells
M Plumlee, VR Joseph, H Yang
Journal of the American Statistical Association 111 (514), 500-509, 2016
602016
Building Accurate Emulators for Stochastic Simulations via Quantile Kriging
M Plumlee, R Tuo
Technometrics 56 (4), 466-473, 2014
582014
Fast prediction of deterministic functions using sparse grid experimental designs
M Plumlee
Journal of the American Statistical Association 109 (508), 1581-1591, 2014
392014
Lifted Brownian kriging models
M Plumlee, DW Apley
Technometrics 59 (2), 165-177, 2017
342017
Orthogonal Gaussian process models
M Plumlee, VR Joseph
Statistica Sinica 28 (2), 601-619, 2018
302018
Towards precise and accurate calculations of neutrinoless double-beta decay
V Cirigliano, Z Davoudi, J Engel, R Furnstahl, G Hagen, U Heinz, ...
Journal of Physics G: Nuclear and Particle Physics, 2022
232022
Computer model calibration with confidence and consistency
M Plumlee
Journal of the Royal Statistical Society: Series B 81 (3), 519-545, 2019
202019
Scalable adaptive batch sampling in simulation-based design with heteroscedastic noise
A van Beek, UF Ghumman, J Munshi, S Tao, TY Chien, ...
Journal of Mechanical Design 143 (3), 031709, 2021
192021
Improvements in storm surge surrogate modeling for synthetic storm parameterization, node condition classification and implementation to small size databases
AP Kyprioti, AA Taflanidis, M Plumlee, TG Asher, E Spiller, RA Luettich, ...
Natural Hazards 109, 1349-1386, 2021
182021
High-fidelity hurricane surge forecasting using emulation and sequential experiments
M Plumlee, TG Asher, W Chang, MV Bilskie
172021
Gaussian process modeling for engineered surfaces with applications to Si wafer production
M Plumlee, R Jin, V Roshan Joseph, J Shi
Stat 2 (1), 159-170, 2013
162013
Multiresolution functional anova for large-scale, many-input computer experiments
CL Sung, W Wang, M Plumlee, B Haaland
Journal of the American Statistical Association 115 (530), 908-919, 2020
142020
Integration of normative decision-making and batch sampling for global metamodeling
A Van Beek, S Tao, M Plumlee, DW Apley, W Chen
Journal of Mechanical Design 142 (3), 031114, 2020
132020
Uncertainty quantification in breakup reactions
Ö Sürer, FM Nunes, M Plumlee, SM Wild
Physical Review C 106 (2), 024607, 2022
122022
Revisiting subset selection
DJ Eckman, M Plumlee, BL Nelson
2020 Winter Simulation Conference (WSC), 2972-2983, 2020
112020
Plausible screening using functional properties for simulations with large solution spaces
DJ Eckman, M Plumlee, BL Nelson
Operations Research 70 (6), 3473-3489, 2022
92022
Composite grid designs for adaptive computer experiments with fast inference
M Plumlee, CB Erickson, BE Ankenman, E Lawrence
Biometrika 108 (3), 749-755, 2021
92021
Improving prediction from stochastic simulation via model discrepancy learning
H Lam, X Zhang, M Plumlee
2017 Winter Simulation Conference (WSC), 1808-1819, 2017
82017
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