We can define any Markov process by defining its density. Geyer's triplet process is defined by the density f(x) < $1()q

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We Can Define Any Markov Process By Defining Its Density Geyer S Triplet Process Is Defined By The Density F X 1 Q 1 (52.29 KiB) Viewed 23 times

We can define any Markov process by defining its density. Geyer's triplet process is defined by the density f(x) < $1()q8R(r)g+R() where B, 7, 8, R are non-negative parameters, n(x) is the number of points in X, SR(2) is the number of R-close (unordered) pairs of points in x, and tR(x) is the number of (unordered) triplets of points in x with all pairs being R-close.
(a) Does this model belong to the exponential family? (b) Find the score function and the observed Fisher information.