activity
20172020
collaborators

5 papers

stat.AP2020

Estimating conditional probabilities of historical migrations in the transatlantic slave trade using kriging and Markov decision process models

Ashton Wiens, Henry B. Lovejoy, Zachary Mullen +1

Intra-African conflicts during the collapse of the kingdom of Oyo from 1817 to 1836 resulted in the enslavement of an estimated 121,000 people who were then transported to coastal…

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.AP2019

Mapping the uncertainty of 19th century West African slave origins using a Markov decision process model

Zachary Mullen, Ashton Wiens, Eric Vance +1

The advent of modern computers has added an increased emphasis on channeling computational power and statistical methods into digital humanities. Including increased statistical ri…

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…