2 citations · 3 across the 5 of their papers we have counts for
5 papers
Stochastic Tropical Cyclone Precipitation Field Generation
William Kleiber, Stephan Sain, Luke Madaus +1
Tropical cyclones are important drivers of coastal flooding which have severe negative public safety and economic consequences. Due to the rare occurrence of such events, high spat…
Nonrigid registration using Gaussian processes and local likelihood estimation
Ashton Wiens, William Kleiber, Douglas Nychka +1
Surface registration, the task of aligning several multidimensional point sets, is a necessary task in many scientific fields. In this work, a novel statistical approach is develop…
Modeling spatial data using local likelihood estimation and a Matérn to SAR translation
Ashton Wiens, Douglas Nychka, William Kleibe
Modeling data with non-stationary covariance structure is important to represent heterogeneity in geophysical and other environmental spatial processes. In this work, we investigat…
Penalized basis models for very large spatial datasets
Mitchell Krock, William Kleiber, Stephen Becker
Many modern spatial models express the stochastic variation component as a basis expansion with random coefficients. Low rank models, approximate spectral decompositions, multireso…
Coherence for Random Fields
William Kleiber
Multivariate spatial field data are increasingly common and whose modeling typically relies on building cross-covariance functions to describe cross-process relationships. An alter…