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06/28/2023
Joint structure learning and causal effect estimation for categorical graphical models
We consider a a collection of categorical random variables. Of special i...
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05/06/2023
Bayesian sample size determination for multi-site replication studies
An ongoing "reproducibility crisis" calls into question scientific disco...
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11/04/2022
Bayesian approaches to designing replication studies
Replication studies are essential for assessing the credibility of claim...
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06/01/2022
Bayesian sample size determination for causal discovery
Graphical models based on Directed Acyclic Graphs (DAGs) are widely used...
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06/06/2021
Bayesian graphical modelling for heterogeneous causal effects
Our motivation stems from current medical research aiming at personalize...
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09/10/2020
Bayesian causal inference in probit graphical models
We consider a binary response which is potentially affected by a set of ...
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10/23/2018