Kernel Averaged Predictors for Spatio-Temporal Regression Models
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In applications where covariates and responses are observed across space and time, a common goal is to quantify the effect of a change in the covariates on the response while adequately accounting for the spatio-temporal structure of the observations. The most... ...
