94 citations · 262 across the 25 of their papers we have counts for
14 papers · 1 filter
Stochastic Bayes factors: why, when, and how
Leonardo Egidi, Ioannis Ntzoufras
The Bayes factor (BF) is a central tool in Bayesian hypothesis testing and model selection, yet its practical use is often challenged. Classical BFs depend heavily on prior specifi…
Eliciting prior information from clinical trials via calibrated Bayes factor
Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli +1
In the Bayesian framework power prior distributions are increasingly adopted in clinical trials and similar studies to incorporate external and past information, typically to infor…
Inconsistency identification in network meta-analysis via stochastic search variable selection
Georgios Seitidis, Stavros Nikolakopoulos, Ioannis Ntzoufras +1
The reliability of the results of network meta-analysis (NMA) lies in the plausibility of key assumption of transitivity. This assumption implies that the effect modifiers' distrib…
A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection
Christian Staerk, Maria Kateri, Ioannis Ntzoufras
A simple and efficient adaptive Markov Chain Monte Carlo (MCMC) method, called the Metropolized Adaptive Subspace (MAdaSub) algorithm, is proposed for sampling from high-dimensiona…
Bayesian Evidence Synthesis for the common effect model
Stavros Nikolakopoulos, Björn Alfons Edmar, Ioannis Ntzoufras
Bayes Factors, the Bayesian tool for hypothesis testing, are receiving increasing attention in the literature. Compared to their frequentist rivals (-values or test statistics),…
On the identifiability of Bayesian factor analytic models
Panagiotis Papastamoulis, Ioannis Ntzoufras
A well known identifiability issue in factor analytic models is the invariance with respect to orthogonal transformations. This problem burdens the inference under a Bayesian setup…