A representation for the posterior distribution of the location of a moving target

Thomas L. Corwin

Stochastic Processes and their Applications, 1979, vol. 9, issue 1, 1-17

Abstract: A target moves according to a continuous stochastic process in Euclidean RH. A search is conducted by choosing a search strategy and by observing the state of a detection process. Methods for representing the posterior distributions for target location given no detection are discussed. In particular, methods for parameterizing Gaussian models for target motion and the transition intensity of the detection process which yield tractable representations are introduced. The methodology is discussed in terms of two examples.

Keywords: Bayesian; inference; posterior; distribution; for; location; moving; target; Gaussian; processes (search for similar items in EconPapers)
Date: 1979
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