29 citations · 104 across the 11 of their papers we have counts for
6 papers · 1 filter
Inferring independent sets of Gaussian variables after thresholding correlations
Arkajyoti Saha, Daniela Witten, Jacob Bien
We consider testing whether a set of Gaussian variables, selected from the data, is independent of the remaining variables. We assume that this set is selected via a very simple ap…
Cluster Stability Selection
Gregory Faletto, Jacob Bien
Stability selection (Meinshausen and Buhlmann, 2010) makes any feature selection method more stable by returning only those features that are consistently selected across many subs…
Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao, Jacob Bien, Adel Javanmard
In many domains, data measurements can naturally be associated with the leaves of a tree, expressing the relationships among these measurements. For example, companies belong to in…
Tree-based Node Aggregation in Sparse Graphical Models
Ines Wilms, Jacob Bien
High-dimensional graphical models are often estimated using regularization that is aimed at reducing the number of edges in a network. In this work, we show how even simpler networ…
Testing for Association in Multi-View Network Data
Lucy L. Gao, Daniela Witten, Jacob Bien
In this paper, we consider data consisting of multiple networks, each comprised of a different edge set on a common set of nodes. Many models have been proposed for the analysis of…
Are Clusterings of Multiple Data Views Independent?
Lucy L. Gao, Jacob Bien, Daniela Witten
In the Pioneer 100 (P100) Wellness Project (Price and others, 2017), multiple types of data are collected on a single set of healthy participants at multiple timepoints in order to…