Author

G. Kaur

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Preprint Oct 2026

Interacting Stochastic Systems with Agent-Based Sampling and Connection-Based Reinforcement

We introduce a general class of interacting reinforced stochastic systems evolving on a network. The dynamics are governed by two distinct interaction structures: a sampling network, which determines how information is acquired, and a reinforcement network, which determines how the sampled information influences future...

Yogesh Dahiya, G. Kaur, Neeraja Sahasrabudhe · 0 citations

Open access Sep 2026

Multi-season evaluation and analysis of categorical trend forecasts of influenza hospital admissions in the United States

Forecasting influenza hospitalizations informs public health preparedness, yet questions remain about which types of forecasts best guide action. We evaluate categorical trend forecasts, which communicate probabilities of upcoming increases or decreases in epidemic trajectories, submitted to CDC's FluSight Forecasting...

J. Davis, G. Kaur, A. Hines et al. · medRxiv · 0 citations

Preprint Aug 2026

EpiFlow: A framework for improving the utility of wastewater signals for disease forecasting

Wastewater-based surveillance is an effective tool for disease monitoring and can provide early warning of outbreaks. Although wastewater viral loads (WVL) correlate with disease burden, their utility for improving real-time forecasting remains under investigation. During the early phases of an epidemic, many indicator...

A. Adiga, Jing-Yuan Chou, G. Kaur et al. · 0 citations