Introduction to Stochastic Filtering Theory, An Stanley Equipping students with skills is

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Introduction to Stochastic Filtering Theory, An Stanley Equipping students with skills isStochastic Filtering Theory uses probability tools to estimate unobservable stochastic processes that arise in many applied fields including communication, target tracking, and mathematical finance. As a topic, Stochastic Filtering Theory has progressed rapidly in recent years. For example, the (branching) particle system representation of the optimal filter has been extensively studied to seek more effective numerical approximations of the optimal