3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ME2025
SensIAT: An R Package for Conducting Sensitivity Analysis of Randomized Trials with Irregular Assessment Times
Andrew Redd, Yujing Gao, Bonnie B. Smith +3
This paper introduces an R package SensIAT that implements a sensitivity analysis methodology, based on augmented inverse intensity weighting, for randomized trials with irregular…
cs.LG2019★ 3 cited
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm
Andrew Redd, Kaung Khin, Aldo Marini
Due to their prevalence, time series forecasting is crucial in multiple domains. We seek to make state-of-the-art forecasting fast, accessible, and generalizable. ES-RNN is a hybri…