On shrinkage estimation for balanced loss functions
Éric Marchand and
William E. Strawderman
Journal of Multivariate Analysis, 2020, vol. 175, issue C
The estimation of a multivariate mean θ is considered under natural modifications of balanced loss functions of the form: (i) ωρ(‖δ−δ0‖2)+(1−ω)ρ(‖δ−θ‖2), and (ii) ℓω‖δ−δ0‖2+(1−ω)‖δ−θ‖2, where δ0 is a target estimator of γ(θ). After briefly reviewing known results for original balanced loss with identity ρ or ℓ, we provide, for increasing and concave ρ and ℓ which also satisfy a completely monotone property, Baranchik-type estimators of θ which dominate the benchmark δ0(X)=X for X either distributed as multivariate normal or as a scale mixture of normals. Implications are given with respect to model robustness and simultaneous dominance with respect to either ρ or ℓ.
Keywords: Balanced loss; Concave loss; Dominance; Multivariate normal; Scale mixture of normals; Shrinkage estimation (search for similar items in EconPapers)
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