Large Deviation Techniques in Decision, Simulation, and Estimation

Cramir's Theorem and Extensions Sanov's Theorem and the Contraction Principle Gaussian Processes and Wentzell-Freidlin Theory Large Deviations for Markov Processes Applications to Detection Theory Asymptotic Expansions Quick Simulation Applications to Parameter Estimation Applications to Information Theory Appendices Solutions to Exercises References Index.