Conference
BAT.jl Upgrading the Bayesian Analysis Toolkit.
| Τίτλος: | BAT.jl Upgrading the Bayesian Analysis Toolkit. |
|---|---|
| Συγγραφείς: | Doglioni, C., Kim, D., Stewart, G.A., Silvestris, L., Jackson, P., Kamleh, W., Caldwell, Allen1, Grunwald, Cornelius2 cornelius.grunwald@tu-dortmund.de, Hafych, Vasyl1, Kröninger, Kevin2, La Cagnina, Salvatore2, Schulz, Oliver1, Shtembari, Lolian1 |
| Πηγή: | EPJ Web of Conferences. 11/16/2020, Vol. 245, p1-7. 7p. |
| Θεματικοί όροι: | *Bayesian analysis, *Modular programming, *Data analysis, *Julia (Computer program language), *Software architecture |
| Περίληψη: | In all but the simplest cases, performing data analysis based on Bayesian reasoning requires the use of advanced algorithms. The Bayesian Analysis Toolkit (BAT) provides a collection of algorithms and methods that facilitate the application of Bayesian statistics to user-defined problems of arbitrary complexity. With BAT.jl, we present a modern rewrite of BAT in the Julia programming language. Through the use of a modular software design that is capable of running parallel and distributed, and by extending the tool with new sampling and integration algorithms, BAT.jl is a high-performance framework for Bayesian inference, meeting the requirements of modern data analysis. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Academic Search Index |
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