M. Heaton

发表

Methods for Analyzing Large Spatial Data: A Review and Comparison

Douglas W. Nychka, Dorit Hammerling, Finn Lindgren, 2017 .

Spatio‐temporal models for large‐scale indicators of extreme weather

Kathryn E. Pedings, Matthew J. Heaton, M. Katzfuss, 2011 .

Parameter tuning for a multi-fidelity dynamical model of the magnetosphere

Matthew J. Heaton, S. Sain, D. Bingham, 2013, 1303.6992.

Spatiotemporal multiresolution modeling to infill missing areal data and enhance the temporal frequency of infrared satellite images

L. Hu, A. Monaghan, M. Heaton, 2017 .

Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data

Brian Hartman, Pingsheng Wu, T. Hartert, 2019, Statistics in medicine.

The impact of temperature and relative humidity on spatiotemporal patterns of infant bronchiolitis epidemics in the contiguous United States

Pingsheng Wu, T. Hartert, T. Gebretsadik, 2017, Health & place.

Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty

Matthew J. Heaton, M. Heaton, C. Sloan, 2020, Journal of the American Statistical Association.

Kernel Averaged Predictors for Space and Space-Time Processes

Matthew J. Heaton, M. Heaton, 2011 .

Bayesian Methodology for Spatio-Temporal Syndromic Surveillance

David L. Banks, A. Karr, G. Datta, 2010 .

Characterizing urban vulnerability to heat stress using a spatially varying coefficient model.

Matthew J. Heaton, Olga V. Wilhelmi, S. Sain, 2014, Spatial and spatio-temporal epidemiology.

Accounting for regime and parameter uncertainty in regime-switching models

Brian Hartman, M. Heaton, 2011 .

Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed

Michael F. Christensen, C. Reese, W. F. Christensen, 2019, Front. Earth Sci..

Spatial and covariate-varying relationships among dominant tree species in Utah

Matthew J. Heaton, M. Bekker, M. Heaton, 2020, Environmental and Ecological Statistics.

A Spatio-Temporal Model for Mountain Pine Beetle Damage

S. Sain, M. Heaton, K. Kaufeld, 2014 .

An Analysis of an Incomplete Marked Point Pattern of Heat-Related 911 Calls

Matthew J. Heaton, Olga V. Wilhelmi, S. Sain, 2015 .

Bayesian Computation and the Linear Model

M. Heaton, 2009 .

Age‐specific distributed lag models for heat ‐ related mortality

Matthew J. Heaton, Olga V. Wilhelmi, M. Heaton, 2019, Environmetrics.

Wombling Analysis of Childhood Tumor Rates in Florida

M. Heaton, 2014 .

Emulating and calibrating the multiple‐fidelity Lyon–Fedder–Mobarry magnetosphere–ionosphere coupled computer model

Stephan R. Sain, Matthew J. Heaton, William Kleiber, 2015 .

Spatiotemporal Lagged Models for Variable Rate Irrigation in Agriculture

N. Hansen, M. Heaton, Sierra Pugh, 2019, Journal of Agricultural, Biological and Environmental Statistics.

Antibiotic resistance is lower in Staphylococcus aureus isolated from antibiotic-free raw meat as compared to conventional raw meat

K. J. Haskell, M. Heaton, Benjamin Haws, 2018, bioRxiv.

Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data

Matthew J. Heaton, L. Hu, M. Heaton, 2019, Journal of applied statistics.

Influences of climatic and population changes on heat-related mortality in Houston, Texas, USA

Matthew J. Heaton, Olga V. Wilhelmi, S. Sain, 2018, Climatic Change.

Urban heat risk mapping using multiple point patterns in Houston, Texas

Matthew J. Heaton, Olga V. Wilhelmi, M. Heaton, 2018 .

Multivariate spatial mapping of soil water holding capacity with spatially varying cross-correlations

Matthew J. Heaton, N. Hansen, M. Heaton, 2017 .

Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Matthew J. Heaton, M. Heaton, R. Dupas, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models

W. F. Christensen, P. White, M. Heaton, 2022, Journal of Agricultural, Biological and Environmental Statistics.

Imaging biomarkers of lung ventilation in interstitial lung disease from 129Xe and oxygen enhanced 1H MRI.

Matthew J. Heaton, J. Waterton, Geoffrey J. M. Parker, 2022, Magnetic resonance imaging.

Spatial and covariate-varying relationships among dominant tree species in Utah

Matthew J. Heaton, M. Bekker, M. Heaton, 2020, Environmental and Ecological Statistics.

A Case Study Competition Among Methods for Analyzing Large Spatial Data

Dorit Hammerling, Finn Lindgren, Matthias Katzfuss, 2017, Journal of Agricultural, Biological and Environmental Statistics.

Kernel Averaged Predictors for Spatio-Temporal Regression Models.

Alan E Gelfand, Matthew J Heaton, A. Gelfand, 2012, Spatial statistics.

Empirical Bayes estimation for the conditional extreme value model

Eric Gilleland, Matthew J. Heaton, Amir AghaKouchak, 2014 .

Imaging biomarkers of lung ventilation in interstitial lung disease from 129 Xe and oxygen enhanced 1 H MRI Magnetic Resonance Imaging

J. Wild, J. Naish, M. Heaton, 2022 .

Bayesian methodology for the analysis of spatial–temporal surveillance data

David Banks, Alan F. Karr, Jian Zou, 2012, Stat. Anal. Data Min..

Incorporating Time-Dependent Source Profiles Using the Dirichlet Distribution in Multivariate Receptor Models

William F. Christensen, C. Shane Reese, Matthew J. Heaton, 2010, Technometrics.

Modeling Uncertainty in Climate Using Ensembles of Regional and Global Climate Models and Multiple Observation-Based Data Sets

Stephan R. Sain, Matthew J. Heaton, Tamara A. Greasby, 2012, SIAM/ASA J. Uncertain. Quantification.

Extending distributed lag models to higher degrees.

Matthew J. Heaton, Matthew J Heaton, Roger D Peng, 2014, Biostatistics.

Flexible Distributed Lag Models Using Random Functions With Application to Estimating Mortality Displacement From Heat-Related Deaths

Matthew J. Heaton, Matthew J Heaton, Roger D Peng, 2012, Journal of agricultural, biological, and environmental statistics.

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance

Roman Garnett, Ricardo H. C. Takahashi, Rumi Chunara, 2011, Emerging health threats journal.

Spatial Regression Using Kernel Averaged Predictors

Alan E. Gelfand, Matthew J. Heaton, A. Gelfand, 2011 .

The Music of Rivers: How the Mathematics of Waves Reveals Global Drivers of Streamflow Regime

Jeremy B. Jones, D. Allen, M. Heaton, 2021 .

On the Use of Deep Neural Networks for Large-Scale Spatial Prediction

Matthew J. Heaton, M. Heaton, D. Bolintineanu, 2022, Journal of Data Science.

A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis.

Candace Berrett, Matthew J. Heaton, Matthew J Heaton, 2021, Spatial and spatio-temporal epidemiology.