Latent Score-Based Bayesian Cram\'er-Rao Bound Estimation for High-Dimensional Imaging Systems
We propose a data-driven framework for estimating the Bayesian Cram\'er-Rao bound (CRB) in high-dimensional imaging systems with complex, analytically intractable priors. Direct CRB computation is challenging in this setting due to the need to model the prior score and to form and invert the Bayesian Fisher information...
Evan Scope Crafts, Thomas Wynn, Seonyeong Park et al.
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