2 citations · 2 across the 3 of their papers we have counts for
4 papers
Symmetrized Sinkhorn-Gibbs Inference for Oscillatory Inverse Problems
Gabriel Huerta, Mohammad Motamed
Oscillatory inverse problems often exhibit highly nonconvex discrepancy landscapes due to signal misalignment and cycle-skipping phenomena, posing significant challenges for uncert…
Elastic Bayesian Model Calibration
Devin Francom, J. Derek Tucker, Gabriel Huerta +2
Functional data are ubiquitous in scientific modeling. For instance, quantities of interest are modeled as functions of time, space, energy, density, etc. Uncertainty quantificatio…
Spatio-temporal extreme event modeling of terror insurgencies
Lekha Patel, Lyndsay Shand, J. Derek Tucker +1
Extreme events with potential deadly outcomes, such as those organized by terror groups, are highly unpredictable in nature and an imminent threat to society. In particular, quanti…
Sequential Monte Carlo Smoothing with Parameter Estimation
Biao Yang, Jonathan R. Stroud, Gabriel Huerta
We propose two new Bayesian smoothing methods for general state-space models with unknown parameters. The first approach is based on the particle learning and smoothing algorithm,…