Summary of USA/Canada influenza data inference.

Posterior distribution quantile summaries for BEAST implementation of BNPR-PS models: with no covariates (model: {γ(t)}), with an ordinary covariate (model: {γ(t), −t}), and with seasonal indicator covariates (model: {γ(t), Iwinter, Iautumn, Isummer}). Using a fixed tree, we also include marginal likelihoods (MLs) for all of the above models, plus a model with Ne(t) and λs(t) estimated independently and nonparametrically (Unrelated Ne(t) and λs(t)) and a conditional model combined with a constant sampling intensity model for sampling times (Constant λs(t)).