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Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem.
Mochen Yang
Edward McFowland III
Gordon Burtch
Gediminas Adomavicius
Published in:
CoRR (2020)
Keyphrases
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random forest
measurement error
data sets
feature set
data distribution
computer vision
missing data
random forests
image processing
training data
data points
semi supervised
continuous data
discrete data
observational data
causal inference