53 citations · 188 across the 20 of their papers we have counts for
3 papers · 1 filter
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
Marcus M. Noack, Hengrui Luo, Mark D. Risser
The Gaussian process (GP) is a popular statistical technique for stochastic function approximation and uncertainty quantification from data. GPs have been adopted into the realm of…
Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave
Likun Zhang, Mark D. Risser, Michael F. Wehner +1
In late June, 2021, a devastating heatwave affected the US Pacific Northwest and western Canada, breaking numerous all-time temperature records by large margins and directly causin…
A flexible class of priors for orthonormal matrices with basis function-specific structure
Joshua S. North, Mark D. Risser, F. Jay Breidt
Statistical modeling of high-dimensional matrix-valued data motivates the use of a low-rank representation that simultaneously summarizes key characteristics of the data and enable…