Explain how you would go about fmding interval estimates of factor loadings in a Bayesian factor analysis

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Explain how you would go about fmding interval estimates of factor loadings in a Bayesian factor analysis containing a large number of data vectors.

Why should you not be concerned about the possible biases of Bayesian estimators in the factor analysis model?

What is the main advantage of using MCMC in the Bayesian factor analysis model over the closed-form solutions proposed in Sections 15.3 and 15.4?

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