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Ecology|April 30, 2010
A mixed-model moving-average approach to geostatistical modeling in stream networksErin E Peterson, Jay M Ver HoefPlos One|November 1, 2023
Indexing and partitioning the spatial linear model for large data setsJay M Ver Hoef, Michael Dumelle, Matt Higham, 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.Plos One|March 26, 2013
A comparison of the spatial linear model to Nearest Neighbor (k-NN) methods for forestry applicationsJay M Ver Hoef, Hailemariam TemesgenBiometrics|November 29, 2011
Discretized and aggregated: modeling dive depth of harbor seals from ordered categorical data with temporal autocorrelationMegan D Higgs, Jay M Ver HoefEcology|December 7, 2007
Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?Jay M Ver Hoef, Peter L BovengPlos One|September 22, 2020
SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networksAlan R Pearse, James M McGree, Nicholas A Som, et al.Plos One|January 27, 2026
Correction: SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networksAlan R Pearse, James M McGree, Nicholas A Som, et al.Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction inMichael Dumelle, Matt Higham, Jay M Ver HoefBiometrics|May 23, 2009
A model-based approach for making ecological inference from distance sampling dataDevin S Johnson, Jeffrey L Laake, Jay M Ver HoefPageof 6