Markov models of literary style for authorship identification

The author introduces a statistical model of literary style that allows for the authorship question to be examined. This model uses Markov modeling to examine underlying patterns in pieces of literature. Different methods for comparing these models are examined. The methods are then applied to an experiment involving the authorship of 16th century sonnets. Finally suggestions for improving on this technique are discussed.