Develops a generalized functional linear model with spatial dependence in the response, using basis expansion and composite likelihood estimation, with asymptotic inference under repeating lattice asymptotics, illustrated on binary responses and applied to corn yield data.
A subcell remapping method on staggered polygonal grids for arbitrary- L agrangian- E ulerian methods
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Generalized linear models with spatial dependence and a functional covariate
Develops a generalized functional linear model with spatial dependence in the response, using basis expansion and composite likelihood estimation, with asymptotic inference under repeating lattice asymptotics, illustrated on binary responses and applied to corn yield data.