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Geospatial Data

Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation

Qilong Pan, Ph.D. Student, Statistics
May 8, 12:00 - 13:00

B9 L2 R2325

machine learning Geospatial Data GPU Computing

This seminar introduces GPU-accelerated Vecchia approximations to overcome Gaussian Process computational limits, enabling scalable applications for large geospatial datasets and high-dimensional computer model emulations.

Applied Mathematics and Computational Sciences (AMCS)

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