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Inferring the conditional mean
Published 19 Oct 2007 in math.PR, cs.IT, and math.IT | (0710.3757v1)
Abstract: Consider a stationary real-valued time series ${X_n}{n=0}{\infty}$ with a priori unknown distribution. The goal is to estimate the conditional expectation $E(X{n+1}|X_0,..., X_n)$ based on the observations $(X_0,..., X_n)$ in a pointwise consistent way. It is well known that this is not possible at all values of $n$. We will estimate it along stopping times.
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