We address the problem of integrating data from multiple, possibly biase...
We assume to be given structural equations over discrete variables induc...
We address the problem of integrating data from multiple observational a...
Causal analysis may be affected by selection bias, which is defined as t...
Ensembles are widely used in machine learning and, usually, provide
stat...
Credal networks are a popular class of imprecise probabilistic graphical...
A structural causal model is made of endogenous (manifest) and exogenous...
A structural causal model is made of endogenous (manifest) and exogenous...
InferPy is a Python package for probabilistic modeling with deep neural
...
Recent advances in statistical inference have significantly expanded the...
The AMIDST Toolbox is a software for scalable probabilistic machine lear...