2 papers
q-bio.QM2025
Inference for stochastic reaction networks via logistic regression
Boseung Choi, Hey-Won Kang, Grzegorz A. Rempala
Identifying network structure and inferring parameters are central challenges in modeling chemical reaction networks. In this study, we propose likelihood-based methods grounded in…
physics.soc-ph2025
Inferring contact network characteristics from epidemic data via compact mean-field models
Andrés Guzmán, Federico Malizia, Gyeong Ho Park +3
Modelling epidemics using contact networks provides a significant improvement over classical compartmental models by explicitly incorporating the network of contacts. However, whil…