A Bayesian model with time-varying random partitions for spatial clustering of large spatio-temporal areal datasets, motivated by and applied to mobile phone usage data.
Simulations for the all six models are run for a total of 50,000 iterations after 100 iterations used as burn-in for the adaptive part of the MCMC algorithm
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A Bayesian time-varying random partition model for large spatio-temporal datasets
A Bayesian model with time-varying random partitions for spatial clustering of large spatio-temporal areal datasets, motivated by and applied to mobile phone usage data.