16 citations · 39 across the 12 of their papers we have counts for
12 papers
A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1
Gaussian process (GP) modeling is widely used in computational science and engineering. However, fitting a GP to high-dimensional inputs remains challenging due to the curse of dim…
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
Stamatina Lamprinakou, Huiyan Sang, Bledar A. Konomi +1
Bayesian Additive Regression Trees [BART, Chipman et al., 2010] have gained significant popularity due to their remarkable predictive performance and ability to quantify uncertaint…
Bayesian Latent Variable Co-kriging Model in Remote Sensing for Observations with Quality Flagged
Bledar A. Konomi, Emily L. Kang, Ayat Almomani +1
Remote sensing data products often include quality flags that inform users whether the associated observations are of good, acceptable or unreliable qualities. However, such inform…
Hierarchical Bayesian Nearest Neighbor Co-Kriging Gaussian Process Models; An Application to Intersatellite Calibration
Si Cheng, Bledar A. Konomi, Jessica L. Matthews +2
Recent advancements in remote sensing technology and the increasing size of satellite constellations allows massive geophysical information to be gathered daily on a global scale b…
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments
Pulong Ma, Anirban Mondal, Bledar Konomi +3
Observing system uncertainty experiments (OSUEs) have been recently proposed as a cost-effective way to perform probabilistic assessment of retrievals for NASA's Orbiting Carbon Ob…
Bayesian analysis of multifidelity computer models with local features and non-nested experimental designs: Application to the WRF model
Bledar A. Konomi, Georgios Karagiannis
We propose a multi-fidelity Bayesian emulator for the analysis of the Weather Research and Forecasting (WRF) model when the available simulations are not generated based on hierarc…