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Results tagged with bayesian
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user 97158
Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
26
votes
Accepted
Binomial uniform prior bayesian statistics
Conjugate priors are not required for doing bayesian updating, but they make the calculations a lot easier so they are nice to use if you can. … What’s nice about working with conjugate distributions is that Bayesian updating really is as simple as basic algebra. …
- 677
2
votes
Accepted
Different Confidence vs. Credible Interval (Continuous case, noninformative prior)
You might look at this paper which has a few examples where they differ. One of the more interesting cases is with the effect size $\omega^2$, where the confidence interval often includes negative val …
- 677
0
votes
Point null hypothesis in Bayesian statistics
You are tasked with finding the posterior probabilities of two hypotheses and picking the hypothesis with the higher posterior probability. In this case it can be done with a straightforward applicati …
- 677