3 citations · 9 across the 4 of their papers we have counts for
4 papers
Sparse Graphical Modelling via the Sorted L-Norm
Riccardo Riccobello, Malgorzata Bogdan, Giovanni Bonaccolto +3
Sparse graphical modelling has attained widespread attention across various academic fields. We propose two new graphical model approaches, Gslope and Tslope, which provide sparse…
VARCLUST: clustering variables using dimensionality reduction
Piotr Sobczyk, Stanislaw Wilczynski, Malgorzata Bogdan +5
VARCLUST algorithm is proposed for clustering variables under the assumption that variables in a given cluster are linear combinations of a small number of hidden latent variables,…
Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control
Sangkyun Lee, Piotr Sobczyk, Malgorzata Bogdan
In this paper, we propose a new estimation procedure for discovering the structure of Gaussian Markov random fields (MRFs) with false discovery rate (FDR) control, making use of th…
Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood
Piotr Sobczyk, Malgorzata Bogdan, Julie Josse
We discuss the problem of estimating the number of principal components in Principal Com- ponents Analysis (PCA). Despite of the importance of the problem and the multitude of solu…