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Quasi-experimental design for causal inference using Python and Apache Spark: a hands-on tutorial.
Shirin Mojarad
Nicholas Lewkow
Alfred Essa
Jie Zhang
Jacqueline L. Feild
Published in:
LAK (2017)
Keyphrases
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experimental design
causal inference
open source
causal models
additive noise
abductive reasoning
active learning
nonmonotonic reasoning
discrete data
empirical studies
sample size
rare events
programming language
feature selection
observational data
class imbalance
upper bound
continuous data
reinforcement learning