Bledar Alexandros Konomi
Bledar Alexandros Konomi
Associate Professor, Department of Mathematical Sciences, University of Cincinnati
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Zitiert von
Zitiert von
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification
I Bilionis, N Zabaras, BA Konomi, G Lin
Journal of Computational Physics 241, 212-239, 2013
Adaptive Bayesian nonstationary modeling for large spatial datasets using covariance approximations
BA Konomi, H Sang, BK Mallick
Journal of Computational and Graphical Statistics 23 (3), 802-829, 2014
Bayesian treed multivariate gaussian process with adaptive design: Application to a carbon capture unit
B Konomi, G Karagiannis, A Sarkar, X Sun, G Lin
Technometrics 56 (2), 145-158, 2014
A Bayesian mixed shrinkage prior procedure for spatial–stochastic basis selection and evaluation of gPC expansions: Applications to elliptic SPDEs
G Karagiannis, BA Konomi, G Lin
Journal of Computational Physics 284, 528-546, 2015
Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions
B Zhang, BA Konomi, H Sang, G Karagiannis, G Lin
Journal of computational physics 300, 623-642, 2015
Bayesian object classification of gold nanoparticles
BA Konomi, SS Dhavala, JZ Huang, S Kundu, D Huitink, H Liang, Y Ding, ...
Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge
P Ma, G Karagiannis, BA Konomi, TG Asher, GR Toro, AT Cox
Journal of the Royal Statistical Society: Series C 71 (4), 861-883, 2022
Bayesian Treed Calibration: an application to carbon capture with AX sorbent
BA Konomi, G Karagiannis, K Lai, G Lin
Journal of the American Statistical Association 112 (517), 37-53, 2017
Computer model emulation with high-dimensional functional output in large-scale observing system uncertainty experiments
P Ma, A Mondal, BA Konomi, J Hobbs, JJ Song, EL Kang
Technometrics 64 (1), 65-79, 2022
Uncertainty quantification techniques for sensor calibration monitoring in nuclear power plants
P Ramuhalli, G Lin, SL Crawford, BA Konomi, JB Coble, B Shumaker, ...
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2014
On the Bayesian calibration of expensive computer models with input dependent parameters
G Karagiannis, BA Konomi, G Lin
Spatial Statistics 34, 100258, 2019
Male mastodon landscape use changed with maturation (late Pleistocene, North America)
JH Miller, DC Fisher, BE Crowley, R Secord, BA Konomi
Proceedings of the National Academy of Sciences 119 (25), e2118329119, 2022
Bayesian analysis of multifidelity computer models with local features and nonnested experimental designs: application to the WRF model
BA Konomi, G Karagiannis
Technometrics 63 (4), 510-522, 2021
An additive approximate Gaussian process model for large spatio‐temporal data
P Ma, BA Konomi, EL Kang
Environmetrics, e2569, 2019
Parallel and interacting stochastic approximation annealing algorithms for global optimisation
G Karagiannis, BA Konomi, G Lin, F Liang
Statistics and Computing 27, 927-945, 2017
Ice model calibration using semicontinuous spatial data
W Chang, BA Konomi, G Karagiannis, Y Guan, M Haran
The Annals of Applied Statistics 16 (3), 1937-1961, 2022
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration
S Cheng, BA Konomi, JL Matthews, G Karagiannis, EL Kang
Spatial Statistics 44, 100516, 2021
Computationally efficient nonstationary nearest‐neighbor Gaussian process models using data‐driven techniques
BA Konomi, AA Hanandeh, P Ma, EL Kang
Environmetrics, e2571, 2019
On the Bayesian treed multivariate Gaussian process with linear model of coregionalization
B Konomi, G Karagiannis, G Lin
Journal of Statistical Planning and Inference 157, 1-15, 2015
Uncertainty quantification using the nearest neighbor gaussian process
H Shi, EL Kang, BA Konomi, K Vemaganti, S Madireddy
New Advances in Statistics and Data Science, 89-107, 2017
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