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
Inference and Self-Knowledge
Sign Up to like & getrecommendations! Published in 2021 at "Logos and Episteme"
DOI: 10.5840/logos-episteme20211214
Abstract: A growing cohort of philosophers argue that inference, understood as an agent-level psychological process or event, is subject to a “Taking Condition.” The Taking Condition states, roughly, that drawing an inference requires one to take… read more here.
Keywords: inference; inference self; taking condition; self knowledge ... See more keywords