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Likelihood-based inference for modelling packet transit from thinned
  flow summaries

Likelihood-based inference for modelling packet transit from thinned flow summaries

IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020
31 August 2020
P. Rahman
B. Beranger
Matthew Roughan
Scott A. Sisson
ArXiv (abs)PDFHTML

Papers citing "Likelihood-based inference for modelling packet transit from thinned flow summaries"

4 / 4 papers shown
Analysing symbolic data by pseudo-marginal methods
Analysing symbolic data by pseudo-marginal methods
Yu Yang
M. Quiroz
B. Beranger
Robert Kohn
Scott A. Sisson
158
0
0
08 Aug 2024
Location and association measures for interval data based on Mallows'
  distance
Location and association measures for interval data based on Mallows' distance
M. R. Oliveira
Diogo Pinheiro
Lina Oliveira
139
0
0
06 Jul 2024
Logistic regression models for aggregated data
Logistic regression models for aggregated dataJournal of Computational And Graphical Statistics (JCGS), 2019
Thomas Whitaker
B. Beranger
Scott A. Sisson
145
18
0
09 Dec 2019
New models for symbolic data analysis
New models for symbolic data analysis
B. Beranger
Huan-xiang Lin
Scott A. Sisson
304
28
0
11 Sep 2018
1