Login / Signup
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding.
Justin Grimmer
Dean Knox
Brandon M. Stewart
Published in:
CoRR (2020)
Keyphrases
</>
model selection
statistical models
probabilistic model
neural network
prior knowledge
complex systems
statistical model
bayesian framework
computational models
support vector regression
gaussian processes
bayesian classifiers