Proceedings of the Royal Society of London A Mathematical and Physical Sciences · 1946 · 2.4K citations · 0 references
Natural SciencesMathematicsProbability TheoryStatisticsStochastic ModelingBayesian InferenceBayesian ModelingBayesian StatisticsParameter EstimationPrior DistributionsStatistical InferenceBayesian EstimationDifferential Form FormulationParametric EstimationPosterior Estimation
Abstract It is shown that a certain differential form depending on the values of the parameters in a law of chance is invariant for all transformations of the parameters when the law is differentiable with regard to all parameters. For laws containing a location and a scale parameter a form with a somewhat restricted type of invariance is found even when the law is not everywhere differentiable with regard to the parameters. This form has the properties required to give a general rule for stating the prior probability in a large class of estimation problems.