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Results tagged with bayesian
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user 280338
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.
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Estimating the probability of success in a sequence of Bernoulli Trials when the probability...
My best guess is I should be using some Bayesian inference to accomplish this and having the prior distribution of $\pi(n)$ be centered around $\pi(n-1)$ (normally distributed probably) and updating our … EDIT: I've tried to do this with Bayesian inference where I start with a prior distribution of $\pi$ and update it with one data point at a time but I'm not convinced this is exactly what I want. …
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Bayesian inference - Calculating the prior distribution of the parameter in the Bernouli dis...
What I would like to do is to use Bayesian inference to calculate, for one of these series, the posterior distribution of the parameter p that drives the proccess. … Will the prior value of the variance affect the results I get in my Bayesian inference later a lot, or is it not so impactful?
Thank you! …
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Bayesian Inference for Binomial Distribution with changing mean
I think with a frequentist approach this might already be sufficient, but I'm not sure how to cast this in a Bayesian framework. …
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