Statistical inference using gleam model with spatial heterogeneity and correlation between regions

HIGHLIGHTS

SUMMARY

    The authors propose a new stochastic model that incorporates transportation between regions and at the same time enables spatial and temporal heterogeneity of transmission parameters. The authors compare the performance of the proposed model with the baseline models on both simulated and realworld data. - For the simulated data, the results show that combining heterogeneity and transportation into the model helps improve the performance of trajectory prediction and parameter estimation. In "Experimental results for simulated data", the authors compare the performance of trajectory prediction and parameter estimation of the models with or without mobility, heterogeneity . . .

     

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