Decision-makers under uncertainty. Supports Wald's, Savage, Hurwitz, optimism, pessimism criterions and Bayes, Bernoulli-Laplace, Hodge-Lehmann, Germeier criterions.
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Updated
Dec 6, 2021 - Python
Decision-makers under uncertainty. Supports Wald's, Savage, Hurwitz, optimism, pessimism criterions and Bayes, Bernoulli-Laplace, Hodge-Lehmann, Germeier criterions.
This repository contains Materials for Non-Parametric Inference
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