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The model is adopted in a full Bayesian framework and implemented in Stan (Carpenter, 2017). The random effects are modeled through the CAR-AR Leroux model by Rushworth et Al (2014). We provide an ...
In this paper, a Time-varying Adjacency Mask is proposed to correct the spatial dependence which makes spatial dependence different but highly similar at each moment. Besides, a Self-Smoothing ...
Poisson regression is nonlinear regression analysis of the Poisson distribution used to analyze discrete data. In Poisson regression requires conditions where the mean and variance values of the ...