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APPLICATION AND ITS USES:
• A Gaussian process can be used as a prior probability distribution over functions in Bayesian inference.
• Wiener process (aka Brownian motion) is the integral of a white noise Gaussian process. It is not stationary, but it has stationary increments.
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