Tag: count data

A nested-validation study in Victoria found that an interpretable XGBoost model could retrospectively concentrate crashes in small sets of zones, ...

A new robust Bayesian framework separates latent tail-risk ranking from false-discovery-controlled screening in overdispersed count data, with applications to high-utilization ...

Researchers have developed 3CPO, a Poisson-based clustering algorithm that groups count data accurately while automatically identifying which columns of a ...

Researchers at Concordia University have introduced a nested Dirichlet finite mixture model with an exact Fisher information matrix and an ...