Incorporating Time-Dependent Source Profiles Using the Dirichlet Distribution in Multivariate Receptor Models. - Matthew J. Heaton; C. Shane Reese; William F. Christensen (Technometrics, 2010)

Bayesian methodology for the analysis of spatial-temporal surveillance data. - Jian Zou; Alan F. Karr; David Banks; Matthew J. Heaton; Gauri Datta; James Lynch; Francisco Vera (Stat. Anal. Data Min., 2012)

Modeling Uncertainty in Climate Using Ensembles of Regional and Global Climate Models and Multiple Observation-Based Data Sets. - Matthew J. Heaton; Tamara A. Greasby; Stephan R. Sain (SIAM/ASA J. Uncertain. Quantification, 2013)

Nonstationary Gaussian Process Models Using Spatial Hierarchical Clustering from Finite Differences. - Matthew J. Heaton; William F. Christensen; Maria A. Terres (Technometrics, 2017)

Fusing Climate Data Products using a Spatially Varying Autoencoder. - Jacob A. Johnson; Matthew J. Heaton; William F. Christensen; Lynsie R. Warr; Summer B. Rupper (CoRR, 2024)

Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data. - Matthew J. Heaton; Benjamin K. Dahl; Caleb Dayley; Richard L. Warr; Philip White (Comput. Stat. Data Anal., 2024)

Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees. - Benjamin K. Dahl; Matthew J. Heaton; Richard L. Warr; Jared D. Fisher; Grant G. Schultz (Technometrics, 2025)