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Sep 19, 2010 at 0:27 answer added Sympa timeline score: 2
Aug 1, 2010 at 19:11 comment added John L. Taylor The aforementioned paper addresses method selection, generally. As for specific examples and more details they may be found scattered among specific meta-methodological disciplines (measurement theory, algorithmic learning theory, statistical learning theory, complexity theory), but I have not found a systematic treatment, thus the question. If you wish to discuss these issues generally, you may email me at johnnylogic at gmail.
Jul 22, 2010 at 18:14 comment added robin girard Can you give an example of method selection with more details (a link to a page or a paper could be fine), this could help me to figure out more precisely. Thanks in advance
Jul 21, 2010 at 15:53 comment added John L. Taylor Now there are mathematical prescriptions along the lines of measurement type, convergence results, optimality, and time/space complexity, but no framework for their systematic application, that I am aware of, thus the question.
Jul 21, 2010 at 15:50 comment added John L. Taylor While model selection typically involves the scoring of models within a family of distributions, based on their fit and penalizing the number of parameters used (a la AIC and BIC), whereas method selection is more general. Method selection involves being faced with a problem (e.g. test, classify, predict) for which we have some background knowledge (variables are known to be (e.g. independence, data type), and for which auxiliary assumptions are made (e.g. normality, homoscedasticity), and we must select a method.
Jul 21, 2010 at 15:44 history edited John L. Taylor CC BY-SA 2.5
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Jul 21, 2010 at 8:30 comment added robin girard What is the difference between model selection modelselection.org (hot topic in statistic during the past 20 years) and method selection.
Jul 19, 2010 at 20:54 history asked John L. Taylor CC BY-SA 2.5