Abstract:
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In this talk, I will describe the state of tools for statistical computing that currently available for the new programming language Julia. I will overview the state of the core language and libraries, then describe their utility to statisticians. I will then describe the additional libraries that the JuliaStats group has developed, which extend Julia and provide core functionality such as data structures with efficient representations of missing data, functions over probability distributions and model fitting tools. I will highlight the parts of this toolkit that are comparable in quality to the tools available in R and other languages and clarify the parts that still need improvements before they are ready for statisticians without software engineering training.
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