Let X be a random variable which for simplicity we shall assume to have discrete values x and which has a probability distribution depending in a known way on an unknown real parameter A,(1)$$p\left( {x|\lambda } \right) = Pr[X = x|\Lambda = \lambda ],$$A itself being a random variable with a priori distribution function(2)$$G\left( \lambda \right) = \operatorname{P} r[\Lambda {\text{ }}\underline \leqslant {\text{ }}\lambda ].$$
CITATION STYLE
Robbins, H. E. (1992). An Empirical Bayes Approach to Statistics (pp. 388–394). https://doi.org/10.1007/978-1-4612-0919-5_26
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