prob.N.given.LZ

Matrix of count data; axis 0 is the number of time intervals per day and axis 1 is the number of days in the data.

Matrix containing the rate functions at every time slice

Binary vector indicationg the presence (1) or absence (0) of an event at every time slice

Parameter values of a particular prior distribution

prior

Time-series of count data occur in many different contexts. A
Markov-modulated Poisson process provides a framework for detecting
anomalous events using an unsupervised learning approach.

prob.N.given.LZ: prob.N.given.LZ

Description

Usage

Arguments