Regularized exponentially tilted empirical likelihood removes the convex hull constraint for Bayesian inference while retaining asymptotic properties and improving finite-sample behavior.
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Regularized Exponentially Tilted Empirical Likelihood for Bayesian Inference
Regularized exponentially tilted empirical likelihood removes the convex hull constraint for Bayesian inference while retaining asymptotic properties and improving finite-sample behavior.