A Bayesian model treats each region's time series as a Gaussian process and links regions through spatially correlated variance and range parameters, improving forecasts for areal spatio-temporal data.
, author Clayton, D
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Time-Series Model for Areal Data Using Spatially Correlated Gaussian Processes
A Bayesian model treats each region's time series as a Gaussian process and links regions through spatially correlated variance and range parameters, improving forecasts for areal spatio-temporal data.