Edward L. Boone, Ph.D.

Affiliations: 
2003 Virginia Polytechnic Institute and State University, Blacksburg, VA, United States 
Area:
Statistics
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"Edward Boone"

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Keying Ye grad student 2003 Virginia Tech
 (Bayesian methodology for missing data, model selection and hierarchical spatial models with application to ecological data.)
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Wikle CK, Datta A, Hari BV, et al. (2022) An illustration of model agnostic explainability methods applied to environmental data. Environmetrics. 34
Rivers DL, Boone EL. (2016) Dynamic approach to linear statistical calibration with an application in microwave radiometry Journal of Statistical Computation and Simulation. 1-12
Stewart-Koster B, Boone EL, Kennard MJ, et al. (2013) Incorporating ecological principles into statistical models for the prediction of species' distribution and abundance Ecography. 36: 342-353
Boone EL, Simmons SJ, Ricanek K. (2013) A Restricted Model Space Approach for the Detection of Epistasis in Quantitative Trait Loci Using Markov Chain Monte Carlo Model Composition Communications in Computer and Information Science. 271: 101-114
Boone EL, Stewart-Koster B, Kennard MJ. (2012) A hierarchical zero-inflated Poisson regression model for stream fish distribution and abundance Environmetrics. 23: 207-218
Boone EL, Ye K, Smith EP. (2011) Assessing environmental stressors via Bayesian Model Averaging in the presence of missing data Environmetrics. 22: 13-22
Boone EL, Simmons SJ, Ricanek K. (2011) A Bayesian method for the detection of epistasis in quantitative trait loci using Markov chain Monte Carlo model composition with restricted model spaces Icaart 2011 - Proceedings of the 3rd International Conference On Agents and Artificial Intelligence. 1: 71-78
Boone EL, Ye K, Smith EP. (2009) Using data augmentation via the Gibbs Sampler to incorporate missing covariate structure in linear models for ecological assessments Environmental and Ecological Statistics. 16: 75-87
Boone EL, Bullock BP. (2008) Spatial correlation matrix selection using Bayesian model averaging to characterize inter-tree competition in loblolly pine trees Journal of Applied Statistics. 35: 967-977
Boone EL, Simmons SJ, Bao H, et al. (2008) Bayesian hierarchical regression models for detecting QTLs in plant experiments Journal of Applied Statistics. 35: 799-808
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