Department of Mathematics & Statistics
Modeling spatial covariance using the limiting distribution of spatio-temporal processes.
Penn State Statistics Department
Friday, April 21, 2017 @ 3:15pm
St. Mary’s Hall 326
We present an approach for modeling areal 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, April 21, 2017 at 3:15pm
St. Mary's Hall, 326
3700 Reservoir Road, N.W., Washington