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Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment.
Julian Frattini
Davide Fucci
Richard Torkar
Lloyd Montgomery
Michael Unterkalmsteiner
Jannik Fischbach
Daniel Méndez
Published in:
CoRR (2024)
Keyphrases
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causal inference
data analysis
data mining
nonmonotonic reasoning
abductive reasoning
machine learning
causal models
additive noise
discrete data
image processing
prior knowledge
maximum likelihood
posterior probability
noisy images