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How-to: Bayes with Mathematica

Romke Bontekoe
Journal / Anthology

Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014)
Year: 2015
Volume: 1641
Page range: 361-368

Mathematica is unique in its integrated symbolic and numerical solving capacities. Prof. Phil Gregory states "..., the time required to develop and test programs with Mathematica is approximately 20 times shorter than the time required to write and debug the same program in Fortran or C, ...". However, Mathematica has a steep learning curve. In this paper the Mathematica code for Bayesian linear regression and model selection is provided as a take-off for novice users.