For exchangeable hypotheses the optimal FWER-controlling multiple-testing procedure is computed via elementary symmetric polynomials on likelihood ratios plus a monotonicity theorem that enables an efficient bisection coordinate-descent algorithm.
A smooth model of decision making under ambiguity
2 Pith papers cite this work. Polarity classification is still indexing.
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A plausibility-augmented imprecise-probability model updates via sampling (plausibilistic Bayes) or inequalities and proves almost-sure convergence of beliefs to the true probability.
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Optimal multiple testing under family-wise error control: elementary symmetric polynomials and a scalable algorithm
For exchangeable hypotheses the optimal FWER-controlling multiple-testing procedure is computed via elementary symmetric polynomials on likelihood ratios plus a monotonicity theorem that enables an efficient bisection coordinate-descent algorithm.
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Learning Probabilities: Towards a Logic of Statistical Learning
A plausibility-augmented imprecise-probability model updates via sampling (plausibilistic Bayes) or inequalities and proves almost-sure convergence of beliefs to the true probability.