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Results tagged with bayesian
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user 48336
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.
60
votes
What is the best introductory Bayesian statistics textbook?
Statistical Rethinking, has been released just a few weeks ago and hence I am still reading it, but I think is a very nice and fresh addition to the really introductory books about Bayesian Statistics. …
1
vote
Grid search methods for posterior distribution approximation
Sorry about the confusion, the number 5 is arbitrary. You can choose virtually any value you want and you will get the same result. You can think this as multiplying the posterior by a constant. I agr …
- 196
1
vote
Accepted
Reversing "mean-centered" parameters in a multiple linear regression
And is also explained on page 102 of "Bayesian Analysis with Python" (BAP). Since the explanation in BAP is very brief, and probably not clear enough (sorry about that!) …
- 196
4
votes
Metropolis-Hastings acceptance rate confusion
The theory behinds Markov Chain Monte Carlo (the family of algorithms that includes the Metropolis algorithm as a special case) guarantees that (under certain conditions) Metropolis will give you the …
- 196