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STOR Colloquium: Tailen Hsing, UMich

November 19 @ 4:30 pm

Tailen Hsing Department of Statistics University of Michigan   Modeling and inference of local stationarity   Stationarity is a common assumption in spatial statistics. The justification is often that stationarity is a reasonable approximation to the true state of dependence if we focus on spatial data locally. In this talk, we first review various known approaches for modeling nonstationary spatial data. We then examine the notion of local stationarity in more detail. To illustrate, we focus on the multi-fractional Brownian…

STOR Colloquium: Weijie Su, UPenn

November 28 @ 3:30 pm - 4:30 pm
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