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GitHub8mon
High-Dimensional Spatial Covariate-Augmented Overdispersed Poisson Factor Model - GitHub
To capture the spatial dependency of each variable across different locations, we apply a conditional autoregressive model to the latent factors. Furthermore, we propose a variational ...
IEEE2y
Long-term Traffic Prediction Using Time-varying Adjacency Mask and Self-Smoothing Regularization - IEEE Xplore
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 ...
GitHub2y
GitHub - PAlaimo/PoiAR_SparseLeroux: Implementation of a space-time Poisson auto-regressive model with sparse implementation of the space-time CAR-AR Leroux random effects
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 ...
IEEE6y
Parameter Estimation and Statistical Test in Mixed Model of Geographically Weighted Bivariate Poisson Inverse Gaussian Regression
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 ...