3 citations · 4 across the 2 of their papers we have counts for
3 papers
stat.ME2023★ 1 cited
Robust Distributional Regression with Automatic Variable Selection
Meadhbh O'Neill, Kevin Burke
Datasets with extreme observations and/or heavy-tailed error distributions are commonly encountered and should be analyzed with careful consideration of these features from a stati…
cs.HC2022★ 3 cited
Process Visualization of Manufacturing Execution System (MES) Data
Meadhbh O'Neill, Jeff Morgan, Kevin Burke
Process visualizations of data from manufacturing execution systems (MESs) provide the ability to generate valuable insights for improved decision-making. Industry 4.0 is awakening…
stat.ME2021
Variable Selection Using a Smooth Information Criterion for Distributional Regression Models
Meadhbh O'Neill, Kevin Burke
Modern variable selection procedures make use of penalization methods to execute simultaneous model selection and estimation. A popular method is the LASSO (least absolute shrinkag…