activity
20062009
most citedStatistical inverse problems in active network tomography

24 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2009

Change-point estimation under adaptive sampling

Yan Lan, Moulinath Banerjee, George Michailidis

We consider the problem of locating a jump discontinuity (change-point) in a smooth parametric regression model with a bounded covariate. It is assumed that one can sample the cova…

stat.AP200924 cited

On multi-view learning with additive models

Mark Culp, George Michailidis, Kjell Johnson

In many scientific settings data can be naturally partitioned into variable groupings called views. Common examples include environmental (1st view) and genetic information (2nd vi…

stat.ME200724 cited

Statistical inverse problems in active network tomography

Earl Lawrence, George Michailidis, Vijayan N. Nair

The analysis of computer and communication networks gives rise to some interesting inverse problems. This paper is concerned with active network tomography where the goal is to rec…

stat.ME20071 cited

Comment: Monitoring Networked Applications With Incremental Quantile Estimation

Earl Lawrence, George Michailidis, Vijayan N. Nair

Our comments are in two parts. First, we make some observations regarding the methodology in Chambers et al. [arXiv:0708.0302]. Second, we briefly describe another interesting netw…

math.ST20067 cited

Estimating heavy-tail exponents through max self-similarity

Stilian A. Stoev, George Michailidis, Murad S. Taqqu

In this paper, a novel approach to the problem of estimating the heavy-tail exponent alpha>0 of a distribution is proposed. It is based on the fact that block-maxima of size m of t…