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stat.ML2018
Risk-averse estimation, an axiomatic approach to inference, and Wallace-Freeman without MML
Michael Brand
We define a new class of Bayesian point estimators, which we refer to as risk averse. Using this definition, we formulate axioms that provide natural requirements for inference, e.…
stat.ML2017
RKL: a general, invariant Bayes solution for Neyman-Scott
Michael Brand
Neyman-Scott is a classic example of an estimation problem with a partially-consistent posterior, for which standard estimation methods tend to produce inconsistent results. Past a…