1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2024★ 1 cited
Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation
Wyatt Bridgman, Cosmin Safta, Jaideep Ray
In this paper, we explore whether the infection-rate of a disease can serve as a robust monitoring variable in epidemiological surveillance algorithms. The infection-rate is depend…
stat.AP2024
Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
Cosmin Safta, Wyatt Bridgman, Jaideep Ray
In this paper, we develop a method to estimate the infection-rate of a disease, over a region, as a field that varies in space and time. To do so, we use time-series of case-counts…
stat.ME2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
Wyatt Bridgman, Reese Jones, Mohammad Khalil
For predictive modeling relying on Bayesian inversion, fully independent, or ``mean-field'', Gaussian distributions are often used as approximate probability density functions in v…