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06/02/2020
Sparse Cholesky covariance parametrization for recovering latent structure in ordered data
The sparse Cholesky parametrization of the inverse covariance matrix can...
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09/03/2019
Generating random Gaussian graphical models
Structure learning methods for covariance and concentration graphs are o...
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12/02/2018
Ann: A domain-specific language for the effective design and validation of Java annotations
This paper describes a new modelling language for the effective design a...
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12/01/2018
Towards Gaussian Bayesian Network Fusion
Data sets are growing in complexity thanks to the increasing facilities ...
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09/02/2018
A fast Metropolis-Hastings method for generating random correlation matrices
We propose a novel Metropolis-Hastings algorithm to sample uniformly fro...
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07/10/2018
A modelling language for the effective design of Java annotations
This paper describes a new modelling language for the effective design o...
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07/09/2018
A partial orthogonalization method for simulating covariance and concentration graph matrices
Structure learning methods for covariance and concentration graphs are o...
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06/28/2018
