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Spatial Statistics
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September 7, 2013
Kernel Averaged Predictors for Spatio-Temporal Regression Models
Matthew J Heaton, Alan E Gelfand
Biostatistics (Oxford, England)
|
August 31, 2013
Extending distributed lag models to higher degrees
Matthew J Heaton, Roger D Peng
Journal of Agricultural, Biological, and Environmental Statistics
|
November 6, 2012
Flexible Distributed Lag Models using Random Functions with Application to Estimating Mortality Displacement from Heat-Related Deaths
Matthew J Heaton, Roger D Peng
Journal of Applied Statistics
|
June 16, 2022
Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data
Gavin Q Collins, Matthew J Heaton, Leiqiu Hu
Journal of the American Statistical Association
|
October 5, 2020
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
Matthew J Heaton, Candace Berrett, Sierra Pugh, et al.
Spatial and Spatio-Temporal Epidemiology
|
August 6, 2021
A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis
Matthew J Heaton, Celeste Ingersoll, Candace Berrett, et al.
Journal of Agricultural, Biological, and Environmental Statistics
|
February 13, 2023
Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models
Lynsie R Warr, Matthew J Heaton, William F Christensen, et al.
Statistics in Medicine
|
March 6, 2012
A spatio-temporal absorbing state model for disease and syndromic surveillance
Matthew J Heaton, David L Banks, Jian Zou, et al.
Statistics in Medicine
|
January 15, 2019
Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data
Sierra Pugh, Matthew J Heaton, Brian Hartman, et al.
Spatial and Spatio-Temporal Epidemiology
|
March 11, 2014
Characterizing urban vulnerability to heat stress using a spatially varying coefficient model
Matthew J Heaton, Stephan R Sain, Tamara A Greasby, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Spatial Statistics
|
September 7, 2013
Kernel Averaged Predictors for Spatio-Temporal Regression Models
Matthew J Heaton, Alan E Gelfand
Biostatistics (Oxford, England)
|
August 31, 2013
Extending distributed lag models to higher degrees
Matthew J Heaton, Roger D Peng
Journal of Agricultural, Biological, and Environmental Statistics
|
November 6, 2012
Flexible Distributed Lag Models using Random Functions with Application to Estimating Mortality Displacement from Heat-Related Deaths
Matthew J Heaton, Roger D Peng
Journal of Applied Statistics
|
June 16, 2022
Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data
Gavin Q Collins, Matthew J Heaton, Leiqiu Hu
Journal of the American Statistical Association
|
October 5, 2020
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
Matthew J Heaton, Candace Berrett, Sierra Pugh, et al.
Spatial and Spatio-Temporal Epidemiology
|
August 6, 2021
A Bayesian approach to real-time spatiotemporal prediction systems for bronchiolitis
Matthew J Heaton, Celeste Ingersoll, Candace Berrett, et al.
Journal of Agricultural, Biological, and Environmental Statistics
|
February 13, 2023
Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models
Lynsie R Warr, Matthew J Heaton, William F Christensen, et al.
Statistics in Medicine
|
March 6, 2012
A spatio-temporal absorbing state model for disease and syndromic surveillance
Matthew J Heaton, David L Banks, Jian Zou, et al.
Statistics in Medicine
|
January 15, 2019
Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data
Sierra Pugh, Matthew J Heaton, Brian Hartman, et al.
Spatial and Spatio-Temporal Epidemiology
|
March 11, 2014
Characterizing urban vulnerability to heat stress using a spatially varying coefficient model
Matthew J Heaton, Stephan R Sain, Tamara A Greasby, et al.
Page
of 2