86 citations · 172 across the 3 of their papers we have counts for
3 papers
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…
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…
Estimation of cosmological parameters using adaptive importance sampling
Darren Wraith, Martin Kilbinger, Karim Benabed +5
We present a Bayesian sampling algorithm called adaptive importance sampling or Population Monte Carlo (PMC), whose computational workload is easily parallelizable and thus has the…