Christopher Krapu

Christopher Krapu
Oak Ridge National Laboratory | ORNL · Geospatial Science and Human Security

Doctor of Philosophy

About

6
Publications
526
Reads
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34
Citations
Citations since 2016
6 Research Items
34 Citations
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20162017201820192020202120220246810
20162017201820192020202120220246810

Publications

Publications (6)
Article
Full-text available
In the analysis of observational data with mathematical models, it is often desirable to let one or more model parameters vary with time to account for changing environmental conditions or to offer more flexibility. A standard approach for dynamic models is to allow for the number of parameters to grow as a function of time, leading to a high‐dimen...
Article
Bayesian networks are a popular class of multivariate probabilistic models as they allow for the translation of prior beliefs about conditional dependencies between variables to be easily encoded into their model structure. Due to their widespread usage, they are often applied to spatial data for inferring properties of the systems under study and...
Article
Ecological datasets tabulating hundreds or thousands of species are now becoming available. Identifying and understanding the underlying clustering or communities of species which comprise these datasets is difficult with existing joint species distribution models as they usually model dependence on covariates or spatial effects at the species leve...
Article
Full-text available
Recent advances in deep learning for neural networks with large numbers of parameters have been enabled by automatic differentiation, an algorithmic technique for calculating gradients of measures of model fit with respect to model parameters. Estimation of high‐dimensional parameter sets is an important problem within the hydrological sciences. He...
Article
The development process for an environmental model involves multiple iterations of a planning-implementation-assessment cycle. Probabilistic programming languages (PPLs) are designed to expedite this process with general-purpose methods for implementing models, efficiently inferring their parameters, and generating probabilistic predictions. Probab...
Article
Artificial drainage of wetlands in the Great Plains has been linked to increased runoff, erosion, and the consolidation of small, seasonal wetlands into larger, more permanent bodies of water. We analyzed hydrologic changes to over 1.2 million water bodies across the entire North Dakota portion of the Prairie Pothole Region using the ratio of aggre...

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