Shrinkage (statistics)
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In statistics, shrinkage is a general technique to improve an estimator, and to regularize ill-posed inference problems. Shrinkage is implicit in Bayesian inference and penalized likelihood inference, and explicit in James-Stein-type inference. In contrast, maximum-likelihood and least-squares estimation procedures do NOT include shrinkage effects.
