A function to estimate the transition matrix for a discrete time Markov chain.
A function to estimate the transition matrix for a discrete time Markov chain.
This function estimates the transition matrix for a discrete time Markov chain with state space 0,1,..,n given a realisation. The chain has n+1 states.
MCEstimation(statehist,n)
Arguments
statehist: the realisation of the chain.
n: the highest numbered state.
Details
We assume that the state space is 0,1,2...,n. n is assumed known as it cannot be reliably infered from the realisation.
Returns
Returns the empirical transition matrix obtained by calculating the observed frequencies of actual transitions in the realisation.\
References
Jones, O.D., R. Maillardet, and A.P. Robinson. 2009. An Introduction to Scientific Programming and Simulation, Using R. Chapman And Hall/CRC.
See Also
MCSimulation
Examples
P <- matrix(c(0.5,0.5,0,0,0.7,0.1,0.2,0,0,0.1,0.1,0.8,0,0,0.7,0.3), nrow =4, ncol =4, byrow =TRUE)statehist<-MCSimulation(P,0,3000)MCEstimation(statehist,3)