quadratic loss
European Banking Integration under a Quadratic Loss Function
... In this study, we depart from the traditional efficiency literature, and apply a multi-period forward looking rational expectations specification to measure the speed of adjustment to the optimal cost level in fifteen EU ...
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Appoximation assisted [sic] estimation of eigenvectors under quadratic loss
... under quadratic loss, estimation problem involving estimators under full and reduce models that have different sampling characteris- ...of quadratic risk) basis for combining estimators and thus ...
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Banking Operational Cost in the Balkan Region under a Quadratic Loss Function
... a quadratic loss function based on forward looking rational expectations to model the underlying dynamics of operational performance of the banking ...
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Bayesian Shrinkage estimators of the multivariate normal distribution
... over time since their introduction by Stein in 1956, James and Stein in 1961 and Stein in 1981. In these works one estimates the mean by shrinking the empirical estimators of the mean, which are better in ...
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Some implications of a quartic loss function
... We show below that a quartic term appears in the approximation of both these loss functions. As a consequence, when the distribution of the target variable is non–normal and skewed, an optimal inflation bias can ...
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Value of information analysis for assessing risks and benefits of nanotechnology innovation
... of loss involves some direct numerical calculation of the loss resulting from each option in each ...ear loss function [11] is often most ...potential loss, while there is no loss ...
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Exploring Bayesian Methods for the Measurement of Operational Risk
... So with a beta prior and posterior, and a quadratic loss function, the Bayesian estimator is the mean of a beta distribution 27.. THE BUSINESS SCHOOL FOR FINANCIAL MARKETS.[r] ...
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A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms
... The quadratic loss function of magnitudes (3) was also used in the early literature of phase retrieval (Fienup, 1982) with Fourier magnitude ...nonconvex) loss function that yields advantageous ...
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Monetary Policy Preferences of the European Monetary Union and the UK
... also argues that maintaining price stability involves minimizing the policy makers loss function.1 While it is easy to show that under a quadratic loss function and linear dynamic of th[r] ...
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Are analysts' loss functions asymmetric?
... a quadratic loss function, and has concluded that analysts’ objective is to minimise the mean absolute forecast error (MAE), rather than mean squared ...error loss function penalises forecast ...
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Converting loss-on-ignition to organic carbon content in arable topsoil: Pitfalls and proposed procedure
... of loss on ignition (LOI) for (a) samples grouped by soil clay content (n=88), and (b) samples grouped by soil mineral particles < 20 µm (Fines20) content ...
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On the Stability of Functional Equations in Random Normed Spaces
... Let f be a mapping from a linear space X into a complete Random Normed Space Y. In this paper, we prove some results for the stability of Cubic, Quadratic and Jensen-Type Quadratic functional equations in ...
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On the Quadratic Transportation Problem
... with quadratic function cost ...that quadratic functions are often used as approximations for other functions, as in, for example, regression ...for quadratic transportation problem (QTP) which are ...
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Continuity of quadratic matings
... The data used to construct a mating is therefore a pair of polynomials (of the same degree). The data can be more combinatorial in the case of quadratic polynomials with connected Julia sets. There are various ...
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On the Stability of Quadratic Double Centralizers and Quadratic Multipliers: A Fixed Point Approach
... We prove the superstability of quadratic double centralizers and of quadratic multipliers on Banach algebras by fixed point methods. These results show that we can remove the conditions of being weakly ...
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An algorithm for the quadratic approximation
... In the case of extrapolation the root closest to the previous approximation is selected. This is the procedure used for the numerical example in section 5. These results show that the approximant may shift between the ...
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On the 16-rank of class groups of quadratic number fields
... a quadratic ring corresponds to its discriminant (see for instance [2, Theorem 8, ...particular quadratic ring, one might study the average behavior of certain arithmetic in- variants attached to ...
114
Incorporating within- and between-patch resource selection in identification of critical habitat for brood-rearing greater sage-grouse
... developed quadratic terms for vege- tation and topographic variables because sage-grouse have been shown to avoid the lowest and highest values associ- ated with some landscape features (Aldridge and Boyce 2007; ...
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On Linear Quadratic Approximations
... All the papers that have followed this methodological approach have also made use of the timeless perspective concept. We show that, in the case of a distorted steady state, the timeless perspective assumption is crucial ...
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Discrete quadratic splines
... periodic quadratic spline sx,h in D2,P,h satisfying the interpolatory condition.. In this section, we shall estimate the error function ex the spllne interpolant of Theorem 2.1.[r] ...
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