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Michael Dumelle

Showing results (1-10 of 17) with videos related to

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Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction in <math> </math>Michael Dumelle, Matt Higham, Jay M Ver Hoef
Journal of Statistical Software|February 17, 2023
spsurvey: Spatial Sampling Design and Analysis in RMichael Dumelle, Tom Kincaid, Anthony R Olsen, et al.
Journal of Open Source Software|September 13, 2023
sptotal: an R package for predicting totals and weighted sums from spatial dataMatt Higham, Jay Ver Hoef, Bryce Frank, et al.
Journal of Agricultural, Biological, and Environmental Statistics|October 16, 2023
An Application of Spatio-temporal Modeling to Finite Population Abundance PredictionMatt Higham, Michael Dumelle, Carly Hammond, et al.
Journal of Open Source Software|August 28, 2024
SSN2: The next generation of spatial stream network modeling in RMichael Dumelle, Erin E Peterson, Jay M Ver Hoef, et al.
Environmental Science & Technology Letters|June 23, 2025
Lake chlorophyll-a linked to upstream nutrients across the CONUSMatthew Dietrich, Heather E Golden, Jay R Christensen, et al.
Methods in Ecology and Evolution|November 7, 2022
A comparison of design-based and model-based approaches for finite population spatial sampling and inferenceMichael Dumelle, Matt Higham, Jay M Ver Hoef, et al.
Global Ecology and Biogeography : a Journal of Macroecology|January 8, 2026
Geologic history explains freshwater fish species richness across the conterminous USABrian K Gallagher, Elizabeth C Santos, Michael Dumelle, et al.
Plos One|November 1, 2023
Indexing and partitioning the spatial linear model for large data setsJay M Ver Hoef, Michael Dumelle, Matt Higham, et al.
Environmetrics|December 31, 2024
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximationJay M Ver Hoef, Eryn Blagg, Michael Dumelle, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction in <math> </math>Michael Dumelle, Matt Higham, Jay M Ver Hoef
Journal of Statistical Software|February 17, 2023
spsurvey: Spatial Sampling Design and Analysis in RMichael Dumelle, Tom Kincaid, Anthony R Olsen, et al.
Journal of Open Source Software|September 13, 2023
sptotal: an R package for predicting totals and weighted sums from spatial dataMatt Higham, Jay Ver Hoef, Bryce Frank, et al.
Journal of Agricultural, Biological, and Environmental Statistics|October 16, 2023
An Application of Spatio-temporal Modeling to Finite Population Abundance PredictionMatt Higham, Michael Dumelle, Carly Hammond, et al.
Journal of Open Source Software|August 28, 2024
SSN2: The next generation of spatial stream network modeling in RMichael Dumelle, Erin E Peterson, Jay M Ver Hoef, et al.
Environmental Science & Technology Letters|June 23, 2025
Lake chlorophyll-a linked to upstream nutrients across the CONUSMatthew Dietrich, Heather E Golden, Jay R Christensen, et al.
Methods in Ecology and Evolution|November 7, 2022
A comparison of design-based and model-based approaches for finite population spatial sampling and inferenceMichael Dumelle, Matt Higham, Jay M Ver Hoef, et al.
Global Ecology and Biogeography : a Journal of Macroecology|January 8, 2026
Geologic history explains freshwater fish species richness across the conterminous USABrian K Gallagher, Elizabeth C Santos, Michael Dumelle, et al.
Plos One|November 1, 2023
Indexing and partitioning the spatial linear model for large data setsJay M Ver Hoef, Michael Dumelle, Matt Higham, et al.
Environmetrics|December 31, 2024
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximationJay M Ver Hoef, Eryn Blagg, Michael Dumelle, et al.
Pageof 2