EPHRAIM M. HANKS
Department of Statistics
Penn State University
Spatio-Temporal Models for Spatial Covariance
We present an approach for modeling spatial covariance in observed genetic allele data by considering the stationary (limiting) distribution of a spatio-temporal Markov random walk model for gene flow. This stationary distribution corresponds to an intrinsic simultaneous autoregressive (SAR) model for spatial correlation, and provides a principled approach to specifying areal spatial models when a spatio-temporal generating process can be assumed. We apply the approach to a study of spatial genetic variation of trout in a stream network in Connecticut, USA.
Friday, 11/10/2017, BLOC 113, 11:30 AM
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