Irene Córdoba-Sánchez

According to our database, Irene Córdoba-Sánchez authored at least 10 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Unifying methodologies for graphical models with Gaussian parametrization.

Irene Córdoba-Sánchez

PhD thesis, 2020

On generating random Gaussian graphical models.

Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga

Int. J. Approx. Reason., 2020

Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data.

Irene Córdoba, Concha Bielza, Pedro Larrañaga, Gherardo Varando

IEEE Access, 2020

2018

A partial orthogonalization method for simulating covariance and concentration graph matrices.

Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices.

Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks.

Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga

Proceedings of the Advances in Artificial Intelligence, 2018

2016

A review of undirected and acyclic directed Gaussian Markov model selection and estimation.

Irene Córdoba-Sánchez, Concha Bielza, Pedro Larrañaga

CoRR, 2016

Ann: A domain-specific language for the effective design and validation of Java annotations.

Irene Córdoba-Sánchez, Juan de Lara

Comput. Lang. Syst. Struct., 2016

2015

A modelling language for the effective design of Java annotations.

Irene Córdoba-Sánchez, Juan de Lara

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Towards Gaussian Bayesian Network Fusion.

Irene Córdoba-Sánchez, Concha Bielza, Pedro Larrañaga

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015