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Since its first edition, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex... Læs mere
The Routledge Companion to Intelligence Studies provides a broad overview of the growing field of intelligence studies.
This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time parameters. A Markov chain is... Læs mere
This book explores the martingale approach to the statistical analysis of counting processes, with an emphasis on application of those methods to censored... Læs mere
Presents an introductory account of the theory and application of the evolutionary type of stochastic process. Bailey adopts the approach of applied mathematics, aiming to develop both theoretical principles and applied techniques simultaneously.
Converted into a paperback format, at a reduced price Markov Processes: Characterization and Convergence is ideal as a graduate text and/or reference on Markov Processes and their relationship to operator semigroups.
Based on lectures given by one of the authors with many years of experience in teaching stochastic processes, this textbook is unique in combining basic mathematical and physical theory with numerous simple and sophisticated examples as well as detailed calculations.
The design and analysis of biological experiments and the handling of large amounts of data generated requires a good working knowledge of statistical... Læs mere
Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications - an accessible and clear introduction to linear algebra with a focus on matrices and engineering applications .
Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics.... Læs mere