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Bayesian inference is a method of statistical inference that relies on turning the model parameters into random variables and applying Bayes' theorem to deduce probability statements about the parameters or hypotheses, conditional on the observed dataset.

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.

Bayesian inference is a method of statistical inference that relies on turning the model parameters into random variable and on applying Bayes' theorem to deduce probability statements on parameters or hypotheses, conditional on the observed dataset.

Bayesian inference is a method of statistical inference that relies on turning the model parameters into random variables and applying Bayes' theorem to deduce probability statements about the parameters or hypotheses, conditional on the observed dataset.

Bayesian inference is a method of statistical inference which uses Bayes' theorem to find probability estimates of parameters or hypotheses.

Bayesian inference is a method of statistical inference that relies on turning the model parameters into random variable and on applying Bayes' theorem to deduce probability statements on parameters or hypotheses, conditional on the observed dataset.