19 citations · 49 across the 4 of their papers we have counts for
3 papers · 1 filter
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
Ivette Raices Cruz, Johan Lindström, Matthias C. M. Troffaes +1
Bayesian inference under a set of priors, called robust Bayesian analysis, allows for estimation of parameters within a model and quantification of epistemic uncertainty in quantit…
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…
Calibration of a bumble bee foraging model using Approximate Bayesian Computation
Charlotte Baey, Henrik G. Smith, Maj Rundlöf +3
1. Challenging calibration of complex models can be approached by using prior knowledge on the parameters. However, the natural choice of Bayesian inference can be computationally…