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A taxonomy of estimator consistency on discrete estimation problems
We describe a four-level hierarchy mapping both all discrete estimation ...
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Risk-averse estimation, an axiomatic approach to inference, and Wallace-Freeman without MML
We define a new class of Bayesian point estimators, which we refer to as...
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In-database connected component analysis
We describe a Big Data-practical, SQL-implementable algorithm for effici...
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RKL: a general, invariant Bayes solution for Neyman-Scott
Neyman-Scott is a classic example of an estimation problem with a partia...
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MML is not consistent for Neyman-Scott
Strict Minimum Message Length (SMML) is a statistical inference method w...
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The IMP game: Learnability, approximability and adversarial learning beyond Σ^0_1
We introduce a problem set-up we call the Iterated Matching Pennies (IMP...
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Michael Brand
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