draw.Z.given.NLM

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

Matrix containing the estimated transition probabilities for each iteration

List with parameter values of prior distributions

priors

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.

draw.Z.given.NLM: draw.Z.given.NLM

Description

Usage

Arguments