8 citations · 10 across the 12 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
math.ST2023
Average partial effect estimation using double machine learning
Harvey Klyne, Rajen D. Shah
Single-parameter summaries of variable effects in regression settings are desirable for ease of interpretation. However (partially) linear models for example, which would deliver t…
stat.ME2023
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
Elliot H. Young, Rajen D. Shah
We study partially linear models in settings where observations are arranged in independent groups but may exhibit within-group dependence. Existing approaches estimate linear mode…
stat.ME2023★ 8 cited
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
F. Richard Guo, Rajen D. Shah
Many testing problems are readily amenable to randomised tests such as those employing data splitting. However despite their usefulness in principle, randomised tests have obvious…