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Published in 2021 at "Statistica Sinica"
DOI: 10.5705/ss.202018.0063
Abstract: We study robust Bayesian prediction problems using the posterior regret Γ-minimax (PRGM) approach. We provide a unified theory for PRGM prediction under a very general class of regret loss functions that includes squared error (SE),…
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Keywords:
bayesian prediction;
class;
robust bayesian;
loss functions ... See more keywords