20 questions linked to/from Bayesian updating with new data
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### Bayesian inference: all at once vs one at a time [duplicate]

Suppose that I have a prior on a parameter $\theta$ and update this prior in light of the realisation of $n$ random variables. It seems plausible that it is equivalent to update the prior $n$ times, ...
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### Calculate posterior from normal prior and some observations [duplicate]

I know Bayes Theorem in a basic way. If I was given prior and likelihood in the form of probabilities I can fill in the formula. When watching this video the following graph was discussed (2:50): The ...
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### Bayes regression: how is it done in comparison to standard regression?

I got some questions about the Bayesian regression: Given a standard regression as $y = \beta_0 + \beta_1 x + \varepsilon$. If I want to change this into a Bayesian regression, do I need prior ...
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### Do Bayesian priors become irrelevant with large sample size?

When performing Bayesian inference, we operate by maximizing our likelihood function in combination with the priors we have about the parameters. Because the log-likelihood is more convenient, we ...
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2k views

### Does Bayesian statistics make meta-analysis obsolete?

I'm just wondering if Bayesian statistics would be applied consequently from the first study to the last if this makes a meta-analysis obsolete. For example, let's assume 20 studies which have been ...
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3k views

### Taking into account the uncertainty of p when estimating the mean of a binomial distribution

I have a binomial distribution with parameters $N$ and $p$, and the estimate for the mean of my distribution is N$\times p$. The values of $N$ and $p$ are such that we can use the Gaussian ...
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• 415
1 vote
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### Bayesian learning - how to update an inverse gamma distribution

I'm trying to implement a Bayesian Learning/Updating Model (multi-armed bandit) in the following way: I'm conducting a survey where respondents can rate items on a 5-point scale. I have a total set ...
• 581
1 vote