WEAK CONVERGENCE OF COMPOUND PROBABILITY MEASURES ON UNIFORM SPACES
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Abstract
We obtain a convergence theorem of compound probability measures on a uniform space for a net of uniformly equicontinuous transition probabilities. This theorem contains convergence theorems of product or convolution measures. We also show that for Gaussian transition probabilities on a Hilbert spaces, our assumptions in the convergence theorem can be expressed in terms of mean and covariance functions.
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