134 citations · 369 across the 19 of their papers we have counts for
3 papers · 1 filter
Modelling excess zeros in count data: A new perspective on modelling approaches
John Haslett, Andrew C. Parnell, John Hinde +1
We consider the analysis of count data in which the observed frequency of zero counts is unusually large, typically with respect to the Poisson distribution. We focus on two altern…
Generalizing Gain Penalization for Feature Selection in Tree-based Models
Bruna Wundervald, Andrew Parnell, Katarina Domijan
We develop a new approach for feature selection via gain penalization in tree-based models. First, we show that previous methods do not perform sufficient regularization and often…
Bayesian Additive Regression Trees with Model Trees
Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell
Bayesian Additive Regression Trees (BART) is a tree-based machine learning method that has been successfully applied to regression and classification problems. BART assumes regular…