2 citations · 2 across the 3 of their papers we have counts for
3 papers
Targeted tuning of random forests for quantile estimation and prediction intervals
Matthew Berkowitz, Rachel MacKay Altman, Thomas M. Loughin
We present a novel tuning procedure for random forests (RFs) that improves the accuracy of estimated quantiles and produces valid, relatively narrow prediction intervals. While RFs…
Parameter-driven models for time series of count data
Abdollah Safari, Rachel MacKay Altman, Brian Leroux
This paper considers a general class of parameter-driven models for time series of counts. A comprehensive simulation study is conducted to evaluate the accuracy and efficiency of…
Display advertising: Estimating conversion probability efficiently
Abdollah Safari, Rachel MacKay Altman, Thomas M. Loughin
The goal of online display advertising is to entice users to "convert" (i.e., take a pre-defined action such as making a purchase) after clicking on the ad. An important measure of…