12 citations · 16 across the 4 of their papers we have counts for
5 papers · 1 filter
Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation
Trevor D. Ruiz, Sharmodeep Bhattacharyya, Sarah C. Emerson
The central problem we address in this work is estimation of the parameter support set S, the set of indices corresponding to nonzero parameters, in the context of a sparse paramet…
Numerical Characterization of Support Recovery in Sparse Regression with Correlated Design
Ankit Kumar, Sharmodeep Bhattacharyya, Kristofer Bouchard
Sparse regression is frequently employed in diverse scientific settings as a feature selection method. A pervasive aspect of scientific data that hampers both feature selection and…
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee
We consider the offline change point detection and localization problem in the context of piecewise stationary networks, where the observable is a finite sequence of networks. We d…
Hierarchical community detection by recursive partitioning
Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya +4
The problem of community detection in networks is usually formulated as finding a single partition of the network into some "correct" number of communities. We argue that it is mor…
Spectral Clustering for Multiple Sparse Networks: I
Sharmodeep Bhattacharyya, Shirshendu Chatterjee
Although much of the focus of statistical works on networks has been on static networks, multiple networks are currently becoming more common among network data sets. Usually, a nu…