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This volume builds upon the foundations set in Volumes 1 and 2. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fu
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As more applications are found, interest in Hidden Markov Models continues to grow. Following comments and feedback from colleagues, students and other working
Discrete-time Stochastic Systems
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This comprehensive introduction to the estimation and control of dynamic stochastic systems provides complete derivations of key results. The second edition inc
Stochastic Systems
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Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engin
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Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the socia