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 ...
A recent study published in Engineering has introduced a novel framework for assessing and optimizing the spatiotemporal resilience of unmanned ...
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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