Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
REDLANDS, Calif.--(BUSINESS WIRE)--Thanks to the abundance of information and computational power now available to us, data science appears in every aspect of our lives. But with so many algorithms ...
Kang, E. L., Liu, D. and Cressie, N. (2009) Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computnl Statist.
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