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I have a simple regression model y=ax+b estimated from a dataset. I would like to estimate the confidence that: a=0 and b>0. How can I do it using bayedian model.
With bayesian model fit by using MCMC, you can easily get coefficients across all simulations (or simulations after convergence). Then there should be no hard to calculate a CI or quantile for these parameters.
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