how is the conjugate prior calculated what is the conjugate prior method when can a bayesian model be used where can a Bayesian analysis be done is bayesian used in a classical model or classical which approach is used when data is not available for a bayesian model when can we say that Bayesian analysis is not required and the whole model can be done using data? what is the conjugate prior when can we say that a bayesian model is not required and the whole analysis/model can be done using data why is it useful to use the bayesian method for the posterior arithmetic? how to test for the 'beta prior' in a classical model why is the conjugate prior method used what is the conjugate prior for a beta-beta-beta model how does the conjugate prior methodology work what is bayesian framework is a posterior parameter valid what is the conjugate prior method why is a bayesian approach used? what is the prior of a bayesian model which of the following is the most commonly used method in the bayesian process?