284 citations · 806 across the 87 of their papers we have counts for
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stat.ME2026
Rate-Preserving Shrinking-Support Gaussian Process Prediction
Xiaopeng Xiang, Wenlin Dai, Marc G. Genton +1
Gaussian process prediction is a central tool in spatial statistics, but standard implementations require dense matrix operations that become prohibitive for large datasets. We pro…
stat.CO2026
Fisher Scoring for Exact Matérn Covariance Estimation through Stable Smoothness Optimization
Yiping Hong, Sameh Abdulah, Marc G. Genton +1
Gaussian Random Fields (GRFs) with Matérn covariance functions have emerged as a powerful framework for modeling spatial processes due to their flexibility in capturing different f…