A zero-mean Gaussian process (gp) is a stochastic process where every point in the process has a mean value of zero, allowing for the modeling of random phenomena with fluctuations around this central tendency. This characteristic simplifies many analyses and makes it easier to focus on the variations rather than the absolute values. In the context of Gaussian processes, the zero-mean assumption is often used for convenience, especially when modeling data that has been centered or normalized.
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