Combines Bayesian decision theory and the theory of Markov chains by establishing a theoretical structure for Markov chains in which the transition probabilities are uncertain. Both sequential sampling and fixed development are
largely theoretical. Problems of numerical computation are treated as they arise.
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Please note that this website is designed for informational purposes only, about our products and, is not intended as an e-commerce site. Prices are subject to change without notice. Shipping and special handling are not included. Krieger Publishing is the sole source for its products unless otherwise noted. Net prices shown are based on net realized return and do not indicate
list prices or retail prices. Contact us for more information.
