How about a deliberate approximation to an ideal use of the evidence?
I’m confused by what you are suggesting here. Even a Bayesian method making no approximations at all doesn’t necessarily have guaranteed performance (see my response to Oscar_Cunningham).
I’m referring to using an approximation in order to guarantee performance. E.g. replacing the sum of a bunch of independent, well-behaved random variables with a gaussian, and using monte-carlo methods to get approximate properties of the individual random variables with known resources if necessary.
I’m confused by what you are suggesting here. Even a Bayesian method making no approximations at all doesn’t necessarily have guaranteed performance (see my response to Oscar_Cunningham).
I’m referring to using an approximation in order to guarantee performance. E.g. replacing the sum of a bunch of independent, well-behaved random variables with a gaussian, and using monte-carlo methods to get approximate properties of the individual random variables with known resources if necessary.