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stat.ME2020
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…
stat.ME2020
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…
stat.ME2017
Modeling and emulation of nonstationary Gaussian fields
Douglas Nychka, Dorit Hammerling, Mitchell Krock +1
Geophysical and other natural processes often exhibit non-stationary covariances and this feature is important to take into account for statistical models that attempt to emulate t…