Definition and Example of a Markov Transition Matrix

Definition and Example of a Markov Transition Matrix A Markov transition matrix is a square matrix describing the probabilities of moving from one state to another in a dynamic system. In each row are the probabilities of moving from the state represented by that row, to the other states. Thus the rows of a Markov transition matrix each add to one. Sometimes such a matrix is denoted something like Q(x | x) which can be understood this way: that Q is a matrix, x is the existing state, x is a possible future state, and for any x and x in the model, the probability of going to x given that the existing state is x, are in Q. Terms Related to Markov Transition Matrix Markov ProcessMarkov StrategyMarkovs Inequality Resources on Markov Transition Matrix What is Econometrics?How to Do a Painless Econometrics ProjectEconometrics Term Paper Suggestions Writing a Term Paper or High School / College Essay? Here are a few starting points for research on Markov Transition Matrix: Journal Articles on Markov Transition Matrix Estimating the Second Largest Eigenvalue of a Markov Transition MatrixEstimating a Markov Transition Matrix from Observational DataConvergence across Chinese provinces: An analysis using Markov transition matrix