Quant Toolbox - 24. Bayesian Statistics - Shrinkage
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Quant Toolbox > 23. Bayesian statistics > Shrinkage Shrinkage The classical-equivalent estimator is also known as Bayes-Stein shrinkage estimator. • Classical-equivalent shrinkage ˆ θ classical low confidence ←- θ cl _eq posterior high confidence -→ θpri prior (23.13) • Estimation uncertainty shrinkage s 2 θ high confidence -→ 0 (23.14) The MAP classical equivalent (23.9) is a maximum likelihood estimator (22.5), with a shrinkage penalty function ˆ θMAP ≡ argmax θ {ln f θ (x)+ φ(θ)} (23.15) where the penalty is given by the prior φ(θ) ≡ ln fpri (θ). ARPM - Advanced Risk and Portfolio Management - arpm.co This update: Feb-24-2017 - Last update
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Transcript of Quant Toolbox - 24. Bayesian Statistics - Shrinkage
Quant Toolbox > 23. Bayesian statistics > Shrinkage
Shrinkage
The classical-equivalent estimator is also known as Bayes-Stein shrinkageestimator.
• Classical-equivalent shrinkage
θ̂classical
low confidence←− θcl_eqposterior
high confidence−→ θpriprior
(23.13)
• Estimation uncertainty shrinkage
s2θhigh confidence−→ 0 (23.14)
The MAP classical equivalent (23.9) is a maximum likelihood estimator(22.5), with a shrinkage penalty function
θ̂MAP ≡ argmaxθ{ln fθ(x) + φ(θ)} (23.15)
where the penalty is given by the prior φ(θ) ≡ ln fpri(θ).
ARPM - Advanced Risk and Portfolio Management - arpm.co This update: Feb-24-2017 - Last update