S.L. Scott, Bayesian Methods and Extensions for the Two State Markov Modulated Poisson Process, Ph.D. Thesis, Harvard University, Dept. of Statistics, 1998. Home/Search Document Details and Download
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Bursty and Hierarchical Structure in Streams - Kleinberg (2002) (18 citations) (Correct)
....mining [11, 28] connections to related probabilistic frameworks such as Markov sources [4, 18, 35] and hidden Markov models [53] have already been discussed above. Markov source models are employed by Scott for the analysis of temporal data, with an application to telephone fraud detection [58]. There has also been work incorporating a notion of hierarchy into the framework of hidden Markov models [19, 49] this goes beyond the type of automaton used here to allow more complex kinds of hierarchies with potentially large state sets at each level. Ehrich and Foith [17] propose a method ....
S.L. Scott, Bayesian Methods and Extensions for the Two State Markov Modulated Poisson Process, Ph.D. Thesis, Harvard University, Dept. of Statistics, 1998.
Bursty and Hierarchical Structure in Streams - Jon Kleinbe Rg (2002) (18 citations) (Correct)
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S.L. Scott, Bayesian Methods and Extensions for the Two State Markov Modulated Poisson Process, Ph.D. Thesis, Harvard University, Dept. of Statistics, 1998.
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