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Found 2 papers, 1 papers with code
PCA for Point Processes
By treating point process realizations as random measures, we adopt a functional analysis perspective and propose a form of functional Principal Component Analysis (fPCA) for point processes.
Scalable and adaptive variational Bayes methods for Hawkes processes
Hawkes processes are often applied to model dependence and interaction phenomena in multivariate event data sets, such as neuronal spike trains, social interactions, and financial transactions.
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