2 citations · 2 across the 1 of their papers we have counts for
3 papers
SortedEffects: Sorted Causal Effects in R
Shuowen Chen, Victor Chernozhukov, Iván Fernández-Val +1
Chernozhukov et al. (2018) proposed the sorted effect method for nonlinear regression models. This method consists of reporting percentiles of the partial effects in addition to th…
Shape-Enforcing Operators for Point and Interval Estimators
Xi Chen, Victor Chernozhukov, Iván Fernández-Val +2
A common problem in econometrics, statistics, and machine learning is to estimate and make inference on functions that satisfy shape restrictions. For example, distribution functio…
The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages
Victor Chernozhukov, Ivan Fernandez-Val, Ye Luo
The partial (ceteris paribus) effects of interest in nonlinear and interactive linear models are heterogeneous as they can vary dramatically with the underlying observed or unobser…