A sparse spatiotemporal dynamic Poisson model with Bayesian MCMC provides competitive imputation, kriging, forecasting, and AADB estimates for city bicycle counts.
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Scalable Spatiotemporal Modeling for Bicycle Count Prediction
A sparse spatiotemporal dynamic Poisson model with Bayesian MCMC provides competitive imputation, kriging, forecasting, and AADB estimates for city bicycle counts.