11 citations · 24 across the 4 of their papers we have counts for
6 papers
A robust Bayesian bias-adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis
Ivette Raices Cruz, Matthias C. M. Troffaes, Johan Lindström +1
Meta-analysis is a statistical method used in evidence synthesis for combining, analyzing and summarizing studies that have the same target endpoint and aims to derive a pooled qua…
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…
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…
Evaluating betting odds and free coupons using desirability
Nawapon Nakharutai, Camila C. S. Caiado, Matthias C. M. Troffaes
In the UK betting market, bookmakers often offer a free coupon to new customers. These free coupons allow the customer to place extra bets, at lower risk, in combination with the u…
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…
Imprecise Monte Carlo simulation and iterative importance sampling for the estimation of lower previsions
Matthias C. M. Troffaes
We develop a theoretical framework for studying numerical estimation of lower previsions, generally applicable to two-level Monte Carlo methods, importance sampling methods, and a…