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Issue No.03 - May/June (2012 vol.14)
pp: 88-93
<p>Replacing symbols with random variables makes it possible to naturally add statistical operations to complex physical models. Three examples of symbolic statistical modeling are considered here, using new features from the popular SymPy project.</p>
Computational science, scientific computing, SymPy, Python, symbolic statistical modeling
Matthew Rocklin, "Symbolic Statistics with SymPy", Computing in Science & Engineering, vol.14, no. 3, pp. 88-93, May/June 2012, doi:10.1109/MCSE.2012.56
1. D. Joyner et al., "Open Source Computer Algebra Systems: SymPy," ACM Comm. Computer Algebra, vol. 45, nos. 3/4, 2011, pp. 225–234.
2. M. Erwig and S. Kollmansberger, "Probabilistic Functional Programming in Haskell," J. Functional Programming, vol. 16, no. 1, 2006, pp. 21–34.
3. Andy R. Terrel, "From Equations to Code: Automated Scientific Computing," Computing in Science & Eng., vol. 13, no. 2, 2011, pp. 78–82.
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