2 citations · 4 across the 7 of their papers we have counts for
7 papers
Multi-Signal Safety Surveillance with Bayesian Latent Factor Modeling and Bias Correction
Ziyang Pan, Fan Bu
Safety surveillance increasingly involves repeated monitoring of many exposure-outcome signals in observational healthcare data, where sparse information, dependence across related…
Bayesian Joint Modeling of Longitudinal Symptomatology Scale Responses and Fall Outcomes via Heterogeneous Latent Transition Analysis
Mingyan Yu, Zhenke Wu, Michelle M. Hood +3
The Study of Women's Health Across the Nation (SWAN) has followed women for over 30 years, from midlife premenopause until later life. The study has 16 surveys at approximately 2 y…
GeoID-PINN: Identifiability-Aware Regional Epidemic Inference with Geographic Coupling
Weixiong Hua, Fan Bu
Regional surveillance data reflect local transmission, reporting, seeding, and external infection pressure, which are difficult to identify separately. We introduce GeoID-PINN, a p…
Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Typed Point Processes
Fan Bu, Joseph Kagaayi, Kate Grabowski +2
Viral deep-sequencing data play a crucial role toward understanding disease transmission network flows, because the higher resolution of these data compared to standard Sanger sequ…
Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
Fan Bu, Allison E. Aiello, Alexander Volfovsky +1
We develop a stochastic epidemic model progressing over dynamic networks, where infection rates are heterogeneous and may vary with individual-level covariates. The joint dynamics…
Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks
Fan Bu, Allison E. Aiello, Jason Xu +1
We propose a generative model and an inference scheme for epidemic processes on dynamic, adaptive contact networks. Network evolution is formulated as a link-Markovian process, whi…
SMOGS: Social Network Metrics of Game Success
Fan Bu, Sonia Xu, Katherine Heller +1
This paper develops metrics from a social network perspective that are directly translatable to the outcome of a basketball game. We extend a state-of-the-art multi-resolution stoc…