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Distribution-free Inferential Models: Achieving finite-sample valid probabilistic inference, with emphasis on quantile regression.
Leonardo Cella
Published in:
Int. J. Approx. Reason. (2024)
Keyphrases
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probabilistic inference
distribution free
graphical models
probabilistic model
conditional probabilities
approximate inference
bayesian networks
image segmentation
pairwise
model selection
machine learning algorithms
random variables
sample size
bayesian framework
learning models