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Found 2 papers, 1 papers with code
Concentration inequalities for leave-one-out cross validation
In this article we prove that estimator stability is enough to show that leave-one-out cross validation is a sound procedure, by providing concentration bounds in a general framework.
Continuous time Gaussian process dynamical models in gene regulatory network inference
BINGO is based on MCMC sampling of trajectories of the GPDM and estimating the hyperparameters of the covariance function of the Gaussian process.
Optimization and Control Statistics Theory Molecular Networks Statistics Theory
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