A neighbourhood-exclusion framework extends loss-based priors to continuous parameters, yielding priors driven by local KL divergence geometry that coincide with Jeffreys' prior in one dimension.
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The General Formulation of Loss-Based Priors for Parameter Spaces
A neighbourhood-exclusion framework extends loss-based priors to continuous parameters, yielding priors driven by local KL divergence geometry that coincide with Jeffreys' prior in one dimension.