348 citations · 1.2k across the 81 of their papers we have counts for
7 papers · 1 filter
Optimal experiment design in a filtering context with application to sampled network data
Harsh Singhal, George Michailidis
We examine the problem of optimal design in the context of filtering multiple random walks. Specifically, we define the steady state E-optimal design criterion and show that the un…
Threshold estimation based on a P-value framework
Bodhisattva Sen, Moulinath Banerjee, George Michialidis
We use p-values as a discrepancy criterion for identifying the threshold value at which a regression function takes off from its baseline value -- a problem that is motivated by ap…
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty
Ali Shojaie, George Michailidis
Components of biological systems interact with each other in order to carry out vital cell functions. Such information can be used to improve estimation and inference, and to obtai…
Network-wide Statistical Modeling and Prediction of Computer Traffic
Joel Vaughan, Stilian A. Stoev, George Michailidis
In order to maintain consistent quality of service, computer network engineers face the task of monitoring the traffic fluctuations on the individual links making up the network. H…
On the estimation of the extremal index based on scaling and resampling
Kamal Hamidieh, Stilian A. Stoev, George Michailidis
The extremal index parameter theta characterizes the degree of local dependence in the extremes of a stationary time series and has important applications in a number of areas, suc…
Global Modeling and Prediction of Computer Network Traffic
Stilian A. Stoev, George Michailidis, Joel Vaughan
We develop a probabilistic framework for global modeling of the traffic over a computer network. This model integrates existing single-link (-flow) traffic models with the routing…