activity
20172021
collaborators

5 papers

cs.CR2021

Network Security Modeling using NetFlow Data: Detecting Botnet attacks in IP Traffic

Ganesh Subramaniam, Huan Chen, Ravi Varadhan +1

Cybersecurity, security monitoring of malicious events in IP traffic, is an important field largely unexplored by statisticians. Computer scientists have made significant contribut…

stat.CO2018

SQUAREM: An R Package for Off-the-Shelf Acceleration of EM, MM and Other EM-like Monotone Algorithms

Yu Du, Ravi Varadhan

We discuss R package SQUAREM for accelerating iterative algorithms which exhibit slow, monotone convergence. These include the well-known expectation-maximization algorithm, majori…

stat.AP2018

Bayesian Bivariate Subgroup Analysis for Risk-Benefit Evaluation

Nicholas C. Henderson, Ravi Varadhan

Subgroup analysis is a frequently used tool for evaluating heterogeneity of treatment effect and heterogeneity in treatment harm across observed baseline patient characteristics. W…

stat.CO2018

Damped Anderson acceleration with restarts and monotonicity control for accelerating EM and EM-like algorithms

Nicholas C. Henderson, Ravi Varadhan

The expectation-maximization (EM) algorithm is a well-known iterative method for computing maximum likelihood estimates from incomplete data. Despite its numerous advantages, a mai…

stat.ME2017

Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models

Nicholas C. Henderson, Thomas A. Louis, Gary L. Rosner +1

Individuals often respond differently to identical treatments, and characterizing such variability in treatment response is an important aim in the practice of personalized medicin…