All Questions
3
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Is bootstrapping inherently Frequentist? If so, how do we do a Bayesian non-parametric two-sample test?
I normally use frequentist statistics but I now want to use Bayesian statistics as I want to carry out a two-sample (randomised control trial) test that includes prior information. I have an existing ...
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2
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Directly applying residual bootstrap to the predictions vs. inferring the parameters?
My friend has a procedure where he does the following:
Given a dataset $(x_1,y_1),\ldots,(x_n, y_n)$ Fit $f$ according to $\hat{y_i} = f(x_i) + \epsilon_i$ where $f$ is the regression function.
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- 203
4
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Is this how a Bayesian bootstrap works?
I am a bit new to the whole nonparametric and Bayesian idea, so tell me if this is correct: to estimate, say, the mean of a dataset's population we do the following:
We define a function $f(x)$ that ...
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