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On the Correlation Structure of Unilateral AR Processes on the Plane
F. Champagnat and J. Idier
Advances in Applied Probability
Vol. 32, No. 2 (Jun., 2000), pp. 408-425
Published by: Applied Probability Trust
Stable URL: http://www.jstor.org/stable/1428196
Page Count: 18
You can always find the topics here!Topics: Correlations, Polynomials, Factorization, Entropy, Coefficients, Markov chains, Degrees of polynomials, Boundary conditions, Approximation, Covariance
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In , Tory and Pickard show that a simple subclass of unilateral AR processes identifies with Gaussian Pickard random fields on Z2. First, we extend this result to the whole class of unilateral AR processes, by showing that they all satisfy a Pickard-type property, under which correlation matching and maximum entropy properties are assessed. Then, it is established that the Pickard property provides the 'missing' equations that complement the two-dimensional Yule-Walker equations, in the sense that the conjunction defines a one-to-one mapping between the set of AR parameters and a set of correlations. It also implies Markov chain conditions that allow exact evaluation of the likelihood and an exact sampling scheme on finite lattices.
Advances in Applied Probability © 2000 Applied Probability Trust