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David Kahle, Baylor University

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Algebraic Statistics through R
19 April 2018 from 4:00 PM to 5:00 PM
104 Thomas Building
Contact Name
Lorey Burghard
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Situated at the interface of applied algebraic geometry and statistics, the field of algebraic statistics exploits the recognition that many statistical objects are or can be identified with geometric objects amenable to algebraic investigation. While the field is active and visibly growing, advances in statistical methods made possible by algebraic statisticians are still not standard among applied statisticians, largely due to the lack of key algebraic algorithms in mainstream statistical software.

In this talk he will give an overview of algstat, an R package designed for algebraic statistics, as well as some dependent packages that leverage R's capabilities as a interface language. algstat's small ecosystem of packages creates back-end connections to relatively niche software in the mathematics community for algorithms not contained in R and combines these with custom C++ implementations of other key algorithms to provide a streamlined one-stop platform for applied algebraic statistics through R. 

  Bio : 

 David Kahle is an Associate Professor in the Department of Statistical Science at Baylor University. He holds Ph.D. and Master's degrees in Statistics from Rice University and a Bachelor's degree in mathematics from the University of Richmond. The author of over a dozen R packages, Dr. Kahle's research interests focus largely on statistical computing and graphics as applied to various subdisciplines of statistics including algebraic, Bayesian, and spatial statistics.

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