400 citations · 1.2k across the 67 of their papers we have counts for
7 papers · 1 filter
A Bayesian Mixture of Lasso Regressions with t-Errors
Alberto Cozzini, Ajay Jasra, Giovanni Montana
Motivated by a challenging problem in financial trading we are presented with a mixture of regressions with variable selection problem. In this regard, one is faced with data which…
Distance-based analysis of variance: approximate inference and an application to genome-wide association studies
Christopher Minas, Giovanni Montana
In several modern applications, ranging from genetics to genomics and neuroimaging, there is a need to compare observations across different populations, such as groups of healthy…
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression
Matt Silver, Eva Janousova, Xue Hua +2
We present a new method for the detection of gene pathways associated with a multivariate quantitative trait, and use it to identify causal pathways associated with an imaging endo…
Subspace clustering of high-dimensional data: a predictive approach
Brian McWilliams, Giovanni Montana
In several application domains, high-dimensional observations are collected and then analysed in search for naturally occurring data clusters which might provide further insights a…
Multi-view predictive partitioning in high dimensions
Brian McWilliams, Giovanni Montana
Many modern data mining applications are concerned with the analysis of datasets in which the observations are described by paired high-dimensional vectorial representations or "vi…
Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps
Matt Silver, Giovanni Montana
Where causal SNPs (single nucleotide polymorphisms) tend to accumulate within biological pathways, the incorporation of prior pathways information into a statistical model is expec…