#spatial-statistics

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fromHackernoon
5 days ago

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

The proposed SG-MCMC method is applied to analyze ocean temperature data, demonstrating its efficacy against competing methods like NNGP, especially in large spatial datasets.
Data science
fromHackernoon
6 months ago

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

In our study, we introduced the SGRLD method to efficiently estimate spatial covariance parameters and benchmarked it against state-of-the-art Bayesian methods.
Data science
fromHackernoon
5 days 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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