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Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries.
Prosha Rahman
Boris Beranger
Scott A. Sisson
Matthew Roughan
Published in:
IEEE Trans. Signal Inf. Process. over Networks (2022)
Keyphrases
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probabilistic inference
maximum likelihood
flow patterns
packet loss
inference engine
bayesian inference
bayesian networks
steady state
posterior probability
flow field
probabilistic networks
inference process
packet transmission
directed graphical models