Abstract
On Selecting Spatial-Temporal Autologistic Regression Models for Binary Lattice Data
Highlights
REdeitsoeriaarlch ArticleOn Selecting Spatial-Temporal Autologistic Regression Models for Binary Lattice Data
In many biological and physical sciences, rapid advances in technical capabilities have dramatically increased the amount of data that are collected across space and over time
For binary data that are observed on a spatial lattice over time, spatial-temporal autologistic regression models relate binary responses to covariates while accounting for spatial and temporal dependence simultaneously [8,9]
Summary
On Selecting Spatial-Temporal Autologistic Regression Models for Binary Lattice Data. Yanbing Zheng1* and Richard Charnigo1,2 1Department of Statistics, University of Kentucky, 725 Rose St, Lexington, KY 40536, USA 2Department of Biostatistics, University of Kentucky, 725 Rose St, Lexington, KY 40536, USA
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