#spatial-statistics

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Data science
fromHackernoon
2 months ago

Application of SGRLD to Large-Scale Ocean Temperature Data: The Argo Case Study | HackerNoon

SGRLD method shows promise for analyzing large spatial datasets like ocean temperature efficiently.
fromHackernoon
8 months ago

Battle of the Algorithms: Why SGRLD Beats the Competition in GP Inference | HackerNoon

The SGRLD method significantly improves the estimation of spatial covariance parameters in large datasets compared to traditional Bayesian methods.
fromHackernoon
2 months ago

How Spatial Scientists Are Solving the Gaussian Process Scaling Challenge | HackerNoon

The computational challenge in Gaussian Process regression largely stems from the need to efficiently handle the inverse of the covariance matrix, which can be addressed through various approximation methods.
Data science
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