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JSM - Moving Away from Ad Hoc Statistical Computing Education [slides]
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UseR! - Data Carpentry: Open and Reproducible Research with R [site|repo]
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JSM - Statistical Computing as an Introduction to Data Science [slides]
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UseR! - Continuous Integration and Teaching Statistical Computing with R [slides]
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JSM - Teaching statistical computing leveraging the github ecosystem [slides]
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UseR! - Teaching R using the github ecosystem [slides]
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JSM - A Data Fusion Approach for Space-Time Analysis of Speciated PM2.5 [slides]
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Duke SSRI DABSS - Geospatial data and the R ecosystem [slides]
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Duke StatSci - Using GPUs to improve the computational efficiency of Gaussian process models [slides]
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JSM - GPUs, linear algebra, and efficient computing for Gaussian process models [slides]
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UseR! - Leveraging GPU libraries for efficient computation of Gaussian process models in R [slides]
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JSM - Leveraging GPU Libraries for Efficient Computation of Bayesian Spatial Assignment Models in R [slides]
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UseR! - rgeos: spatial geometry predicates and topology operations in R [slides]
- JSM - Spatial Models for Bird Origin Assignment Using Genetic and Isotopic Data [slides]