140 citations · 161 across the 5 of their papers we have counts for
6 papers
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks
Prakash Balachandran, Eric D. Kolaczyk, Weston Viles
Our work in this paper is inspired by a statistical observation that is both elementary and broadly relevant to network analysis in practice -- that the uncertainty in approximatin…
Hypothesis Testing For Network Data in Functional Neuroimaging
Cedric E. Ginestet, Jun Li, Prakash Balachandran +2
In recent years, it has become common practice in neuroscience to use networks to summarize relational information in a set of measurements, typically assumed to be reflective of e…
Think Locally, Act Locally: The Detection of Small, Medium-Sized, and Large Communities in Large Networks
Lucas G. S. Jeub, Prakash Balachandran, Mason A. Porter +2
It is common in the study of networks to investigate meso-scale features to try to gain an understanding of network structure and function. For example, numerous algorithms have be…
Exponential-type Inequalities Involving Ratios of the Modified Bessel Function of the First Kind and their Applications
Prakash Balachandran, Weston Viles, Eric D. Kolaczyk
The modified Bessel function of the first kind, , arises in numerous areas of study, such as physics, signal processing, probability, statistics, etc. As such, there has be…
Inference of Network Summary Statistics Through Network Denoising
Prakash Balachandran, Edoardo Airoldi, Eric Kolaczyk
Consider observing an undirected network that is `noisy' in the sense that there are Type I and Type II errors in the observation of edges. Such errors can arise, for example, in t…
Detectability of Mode Resonances in Coalescing Neutron Star Binaries
Prakash Balachandran, Eanna E. Flanagan
Inspirals of neutron star-neutron star binaries are a promising source of gravitational waves for gravitational wave detectors like LIGO. During the inspiral, the tidal gravitation…