model is implementation of theory imho so I could preregister a theory, but the point is to discover the theory
I have not done a frequentist test on a model as far as I can recall
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Bayesian statistics are only immune to overfitting you have the correct model and priors
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also just to be clear I'm not a Bayesian myself, but not anti Bayesian either.
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I don't do anyth Bayesian. I obviously can't rule it out for future work, but I haven't.
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Now I'm really intrigued. If you're not doing anything frequentist or Bayesian, what >
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< analytic methods do you apply for the part of your modelling that (as discussed above) >
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< you consider to be deductive hypothesis testing?
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ok this is too hard for twitter and I wanna drink.

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I've done modelling that can be seen as deductive due to maths. And modelling in which...
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