Summary
A generalization is provided of the conditions to be satisfied in order to ensure asymptotic normality under transformations. From a Bayesian viewpoint, this result may be used to select an appropriate parameterization or to avoid additional calculations when the parameter of interest does not coincide with the usual parameter of the model.
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Mendoza, M. Asymptotic normality under transformations. A result with Bayesian applications. Test 3, 173–180 (1994). https://doi.org/10.1007/BF02562699
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DOI: https://doi.org/10.1007/BF02562699