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A key problem in statistical modeling is model selection, how to choose a model at an appropriate level of complexity.
The expectation-maximization (EM) algorithm introduced by Dempster et al [12] in 1977 is a
very general method to solve maximum likelihood estimation problems. In this informal report,
we review the...
Conformal prediction uses past experience to determine precise levels
of confidence in new predictions. Given an error probability ǫ, together
with a method that makes a prediction ˆy of a...