56 citations · 364 across the 23 of their papers we have counts for
5 papers · 1 filter
Robust Bayesian causal estimation for causal inference in medical diagnosis
Tathagata Basu, Matthias C. M. Troffaes
Causal effect estimation is a critical task in statistical learning that aims to find the causal effect on subjects by identifying causal links between a number of predictor (or, e…
A robust Bayesian analysis of variable selection under prior ignorance
Tathagata Basu, Matthias C. M. Troffaes, Jochen Einbeck
We propose a cautious Bayesian variable selection routine by investigating the sensitivity of a hierarchical model, where the regression coefficients are specified by spike and sla…
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…
A robust Bayesian approach to modelling epistemic uncertainty in common-cause failure models
Matthias C. M. Troffaes, Gero Walter, Dana Kelly
In a standard Bayesian approach to the alpha-factor model for common-cause failure, a precise Dirichlet prior distribution models epistemic uncertainty in the alpha-factors. This D…
Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty
Matthias C. M. Troffaes, John Paul Gosling
When animals are transported and pass through customs, some of them may have dangerous infectious diseases. Typically, due to the cost of testing, not all animals are tested: a rea…