Heaton, Matthew J.
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1

Integrating machine learning and Bayesian nonparametrics fo..:

Heaton, Matthew J. ; Dahl, Benjamin K. ; Dayley, Caleb..
Computational Statistics & Data Analysis.  191 (2024)  - p. 107875 , 2024
 
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Developing High-Resolution Population and Settlement Data f..:

Borkovska, Olena ; Pollard, Derek ; Hamainza, Busiku...
Journal of Environmental and Public Health.  2022 (2022)  - p. 1-8 , 2022
 
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7

Model-Based Clustering of Trends and Cycles of Nitrate Conc..:

Heiner, Matthew ; Heaton, Matthew J. ; Abbott, Benjamin...
Journal of Agricultural, Biological and Environmental Statistics.  28 (2022)  1 - p. 74-98 , 2022
 
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8

Distributional Validation of Precipitation Data Products wi..:

Warr, Lynsie R. ; Heaton, Matthew J. ; Christensen, William F...
Journal of Agricultural, Biological and Environmental Statistics.  28 (2022)  1 - p. 99-116 , 2022
 
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10

Justification for considering zero-inflated models in crash..:

Pew, Timo ; Warr, Richard L. ; Schultz, Grant G..
Transportation Research Interdisciplinary Perspectives.  8 (2020)  - p. 100249 , 2020
 
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11

Spatial and covariate-varying relationships among dominant ..:

Heaton, Matthew J. ; Berrett, Candace ; DeRose, R. Justin.
Environmental and Ecological Statistics.  27 (2020)  3 - p. 591-607 , 2020
 
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12

Spatiotemporal Lagged Models for Variable Rate Irrigation i..:

Pugh, Sierra ; Heaton, Matthew J. ; Svedin, Jeff.
Journal of Agricultural, Biological, and Environmental Statistics.  24 (2019)  4 - p. 634-650 , 2019
 
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13

A Case Study Competition Among Methods for Analyzing Large ..:

Heaton, Matthew J. ; Datta, Abhirup ; Finley, Andrew O....
Journal of Agricultural, Biological, and Environmental Statistics.  24 (2019)  3 - p. 398-425 , 2019
 
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