Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data
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DOI: 10.1007/s11222-020-09980-4
Abstract: The Hawkes process and its extensions effectively model self-excitatory phenomena including earthquakes, viral pandemics, financial transactions, neural spike trains and the spread of memes through social networks. The usefulness of these stochastic process models within… read more here.
Keywords: bayesian inference; stochastic processes; inference self; scalable bayesian ... See more keywords