Modulated renewal process models with functional predictors for neural connectivities
Recurrent event data arise in fields such as medicine, business and social sciences. In general, there are two types of recurrent event data. One is from a relatively large number of independent processes exhibiting a relatively small number of recurrent events, and the other is from a relatively small number of processes generating a large number of events. We focus on the second type. Our motivating application is a collection of neuron spike trains from a rat brain, recorded during performance of a task. The goal is to model the intensity of events in the response spike train as a function ...
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