40 citations · 89 across the 17 of their papers we have counts for
13 papers · 1 filter
Assessing replication success via skeptical mixture priors
Guido Consonni, Leonardo Egidi
There is a growing interest in the analysis of replication studies of original findings across many disciplines. When testing a hypothesis for an effect size, two Bayesian approach…
Joint structure learning and causal effect estimation for categorical graphical models
Federico Castelletti, Guido Consonni, Marco Luigi Della Vedova
We consider a a collection of categorical random variables. Of special interest is the causal effect on an outcome variable following an intervention on another variable. Condition…
Bayesian Approaches to Designing Replication Studies
Samuel Pawel, Guido Consonni, Leonhard Held
Replication studies are essential for assessing the credibility of claims from original studies. A critical aspect of designing replication studies is determining their sample size…
Bayesian sample size determination for causal discovery
Federico Castelletti, Guido Consonni
Graphical models based on Directed Acyclic Graphs (DAGs) are widely used to answer causal questions across a variety of scientific and social disciplines. However, observational da…
Bayesian graphical modeling for heterogeneous causal effects
Federico Castelletti, Guido Consonni
Our motivation stems from current medical research aiming at personalized treatment using a molecular-based approach. The broad goal is to develop a more precise and targeted decis…
Bayesian causal inference in probit graphical models
Federico Castelletti, Guido Consonni
We consider a binary response which is potentially affected by a set of continuous variables. Of special interest is the causal effect on the response due to an intervention on a s…