A Decision Process for Selecting Statistical Techniques

Nice rework of that #MachineLearning / #statistics method decision tree. #DataScience

  • Multiple correspondence analysis Self organizing maps (multivariate analysis)
  • Principal Components Plot Self organizing Maps (multivariate analysis)
  • Multidimensional scaling Self organizing maps (multivariate analysis)
  • Example: stl and decompose functions in R (time series analysis)
  • A: Pairs of linear combinations of variables Q(1.3.3.1.1): Canonical correlation analysis A: Pairs of variables Q(1.3.3.1.2): Correlation analysis A: Conditional dependencies Q(1.3.3.2):Bayesian network Q(2): be dragons!

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@randal_olson: “Nice rework of that #MachineLearning / #statistics method decision tree. #DataScience”


Adapted from Simon Raper’s flowchart from coppelia.io. h/t @randal_olson see this Tweet in particular. You can edit this flowchart on GitHub here or play around with your own QnA version here.


A Decision Process for Selecting Statistical Techniques