2 papers
cs.LG2026
Spatio-temporal stochastic graph-based learning for infectious disease forecasting
Luz Stefani Sotomayor Valenzuela, Susanna Cramb, Darren Wraith
Spatio-temporal graph-based models have typically been used to forecast new cases of infectious diseases such as COVID-19 and chickenpox outbreaks. However, the use of stochastic m…
stat.CO2025
Approximating evidence via bounded harmonic means
Dana Naderi, Christian P Robert, Kaniav Kamary +1
Efficient Bayesian model selection relies on the model evidence or marginal likelihood, whose computation often requires evaluating an intractable integral. The harmonic mean estim…