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05/19/2023
Bayesian Safety Surveillance with Adaptive Bias Correction
Post-market safety surveillance is an integral part of mass vaccination ...
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02/22/2023
Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Typed Point Processes
Viral deep-sequencing data play a crucial role toward understanding dise...
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07/06/2022
Adjusting for both sequential testing and systematic error in safety surveillance using observational data: Empirical calibration and MaxSPRT
Post-approval safety surveillance of medical products using observationa...
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12/15/2021
Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
We develop a stochastic epidemic model progressing over dynamic networks...
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10/09/2019
Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks
We propose a generative model and an inference scheme for epidemic proce...
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02/07/2019
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
As autonomous robots increasingly become part of daily life, they will o...
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09/18/2018
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
Autonomous mobile robots must operate with limited sensor horizons in un...
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06/18/2018
SMOGS: Social Network Metrics of Game Success
This paper develops metrics from a social network perspective that are d...
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05/10/2018