31 citations · 60 across the 3 of their papers we have counts for
4 papers · 1 filter
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
The recent availability of huge, many-dimensional data sets, like those arising from genome-wide association studies (GWAS), provides many opportunities for strengthening causal in…
Large-Scale Local Causal Inference of Gene Regulatory Relationships
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
Gene regulatory networks play a crucial role in controlling an organism's biological processes, which is why there is significant interest in developing computational methods that…
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen +1
Gene regulatory networks play a crucial role in controlling an organism's biological processes, which is why there is significant interest in developing computational methods that…
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values
Ruifei Cui, Ioan Gabriel Bucur, Perry Groot +1
We consider the problem of learning parameters of latent variable models from mixed (continuous and ordinal) data with missing values. We propose a novel Bayesian Gaussian copula f…