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07/30/2023
Using Staged Tree Models for Health Data: Investigating Invasive Fungal Infections by Aspergillus and Other Filamentous Fungi
Machine learning models are increasingly used in the medical domain to s...
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06/01/2023
AI and the creative realm: A short review of current and future applications
This study explores the concept of creativity and artificial intelligenc...
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02/01/2023
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks
Sensitivity analysis measures the influence of a Bayesian network's para...
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01/02/2023
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear
Bayesian networks are widely used to learn and reason about the dependen...
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06/17/2022
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks
Sensitivity analysis measures the influence of a Bayesian network's para...
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06/14/2022
Highly Efficient Structural Learning of Sparse Staged Trees
Several structural learning algorithms for staged tree models, an asymme...
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03/08/2022
Structural Learning of Simple Staged Trees
Bayesian networks faithfully represent the symmetric conditional indepen...
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10/07/2021
Global sensitivity analysis in probabilistic graphical models
We show how to apply Sobol's method of global sensitivity analysis to me...
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08/04/2021
Staged trees and asymmetry-labeled DAGs
Bayesian networks are a widely-used class of probabilistic graphical mod...
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07/25/2021
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
Bayesian networks are a class of models that are widely used for risk as...
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06/08/2021
Context-Specific Causal Discovery for Categorical Data Using Staged Trees
Causal discovery algorithms aims at untangling complex causal relationsh...
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12/26/2020
A new class of generative classifiers based on staged tree models
Generative models for classification use the joint probability distribut...
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11/10/2020
Tracking change-points in multivariate extremes
In this paper we devise a statistical method for tracking and modeling c...
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10/29/2020
Staged trees are curved exponential families
Staged tree models are a discrete generalization of Bayesian networks. W...
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04/14/2020
The R Package stagedtrees for Structural Learning of Stratified Staged Trees
stagedtrees is an R package which includes several algorithms for learni...
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02/25/2019
A changepoint approach for the identification of financial extreme regimes
Inference over tails is usually performed by fitting an appropriate limi...
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12/20/2018
Sensitivity analysis beyond linearity
A wide array of graphical models can be parametrised to have atomic prob...
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12/18/2018
A geometric characterisation of sensitivity analysis in monomial models
Sensitivity analysis in probabilistic discrete graphical models is usual...
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09/27/2018
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions
The accuracy of probability distributions inferred using machine-learnin...
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07/26/2018
A conditional independence framework for coherent modularized inference
Inference in current domains of application are often complex and requir...
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08/02/2016
Directed expected utility networks
A variety of statistical graphical models have been defined to represent...
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07/28/2016
A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams
Influence diagrams provide a compact graphical representation of decisio...
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12/07/2015