most citedParameter-driven models for time series of count data

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing stat.MEShow all

2 papers · 1 filter

stat.ME2025

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…

stat.ME2017★ 2 cited

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…