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Found 2 papers, 1 papers with code
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
Two linearly uncorrelated binary variables must be also independent because non-linear dependence cannot manifest with only two possible states.
Scalable Spike-and-Slab
Spike-and-slab priors are commonly used for Bayesian variable selection, due to their interpretability and favorable statistical properties.
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