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20182024
most citedA robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

11 citations · 26 across the 6 of their papers we have counts for

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3 papers · 1 filter

math.OC2021★ 2 cited

Improving and benchmarking of algorithms for -maximin, -maximax and interval dominance

Nawapon Nakharutai, Matthias C. M. Troffaes, Camila C. S. Caiado

-maximin, -maximax and inteval dominance are familiar decision criteria for making decisions under severe uncertainty, when probability distributions can only be partially id…

math.OC2019★ 9 cited

Improving and benchmarking of algorithms for decision making with lower previsions

Nawapon Nakharutai, Matthias C. M. Troffaes, Camila C. S. Caiado

Maximality, interval dominance, and E-admissibility are three well-known criteria for decision making under severe uncertainty using lower previsions. We present a new fast algorit…

math.OC2018

Improved linear programming methods for checking avoiding sure loss

Nawapon Nakharutai, Matthias C. M. Troffaes, Camila C. S. Caiado

We review the simplex method and two interior-point methods (the affine scaling and the primal-dual) for solving linear programming problems for checking avoiding sure loss, and pr…