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A taxonomy of estimator consistency on discrete estimation problems
We describe a four-level hierarchy mapping both all discrete estimation ...
09/12/2019 ∙ by Michael Brand, et al. ∙
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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...
06/28/2018 ∙ by Michael Brand, et al. ∙
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In-database connected component analysis
We describe a Big Data-practical, SQL-implementable algorithm for effici...
02/26/2018 ∙ by Harald Bögeholz, et al. ∙
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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...
07/20/2017 ∙ by Michael Brand, et al. ∙
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MML is not consistent for Neyman-Scott
Strict Minimum Message Length (SMML) is a statistical inference method w...
10/14/2016 ∙ by Michael Brand, et al. ∙
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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...
02/07/2016 ∙ by Michael Brand, et al. ∙
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