Elementary Introduction to Markov Chains
Stochastic (random) processes
Integer-valued stochastic process
Markov property in discrete time
Transition probabilities
Marginal probabilities
Example 1: Irreversible mutations in discrete generations
Example 2: Reversible mutations in discrete generations
Markov property in continuous time
Transition probabilities in continuous time
Transition intensities
Matrix of transition intensities
Relationship between transition intensities and transition probabilities
Stationarity in time-continuous processes
Example 3: Mutations in continuous time
Reversibility
PPT Slide
Email: kimmel@rice.edu
Best experienced with Click here to start.
Download presentation source
