what is the value of $p(d)$ in a linear model why p(d)$ is a constant where $p(d)$ is a parameter what is the meaning of $p(d)$ what is $p(d)$ mean in statistics? what is the value of $p(d) which parameter is an observed parameter? theta and $d$? why is $p(d)$ always referred to as a constant why is p(d)$ a constant why do you write p(d)$ what is the value of $p(d)$ in a linear model why is $p(d)$ used in a bayesian statistic what's the definition of $p(d)$ in a bayesian model define the term p(d)$ in a Bayesian model what is $p(d)$ in a bayesian data set what is the value of $p(d)$? why is it called $p(d)$ when are model parameters used by a bayesian statistic what is the normalization value of $p(d)$ which of the following is an example of a standardizing constant in a statistical statement?