Matthew J. Heaton

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 3

Top Topics

Gaussian Process

Spatially Invariant

Photometric Stereo

Hierarchical Clustering Algorithm

Top Venues

Comput. Stat. Data Anal.

Publications

Matthew J. Heaton, Benjamin K. Dahl, Caleb Dayley, Richard L. Warr, Philip White
Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data. Comput. Stat. Data Anal. 191 (2024)
Jacob A. Johnson, Matthew J. Heaton, William F. Christensen, Lynsie R. Warr, Summer B. Rupper
Fusing Climate Data Products using a Spatially Varying Autoencoder. CoRR (2024)
Matthew J. Heaton, William F. Christensen, Maria A. Terres
Nonstationary Gaussian Process Models Using Spatial Hierarchical Clustering from Finite Differences. Technometrics 59 (1) (2017)
Matthew J. Heaton, Tamara A. Greasby, Stephan R. Sain
Modeling Uncertainty in Climate Using Ensembles of Regional and Global Climate Models and Multiple Observation-Based Data Sets. SIAM/ASA J. Uncertain. Quantification 1 (1) (2013)
Jian Zou, Alan F. Karr, David Banks, Matthew J. Heaton, Gauri Datta, James Lynch, Francisco Vera
Bayesian methodology for the analysis of spatial-temporal surveillance data. Stat. Anal. Data Min. 5 (3) (2012)
Matthew J. Heaton, C. Shane Reese, William F. Christensen
Incorporating Time-Dependent Source Profiles Using the Dirichlet Distribution in Multivariate Receptor Models. Technometrics 52 (1) (2010)