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Bias Reduction
"... Abstract In this paper, we analyze the error caused by the beamspace transform (BT) when it is applied to uniform circular array (UCA) configuration. Several algorithms for direction of arrival (DoA) estimation exploit this modal transform because it allows using computationally efficient techniqu ..."
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, and interelement spacing in order to reduce the error. Finally, we propose a novel technique for bias removal. It allows practically biasfree DoA estimation. Index TermsArray calibration, beamspace and modified beamspace transform, bias reduction, direction of arrival (DoA) estimation, error analysis, uniform
BIAS REDUCTION FOR ENDPOINT ESTIMATION
"... Abstract: Recently Li and Peng (2009a) proposed a bias reduction method for estimating the endpoint of a distribution function via an external estimator for the socalled second order parameter. Unlike the same study for the tail index of a heavy tailed distribution, the above procedure requires a c ..."
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Abstract: Recently Li and Peng (2009a) proposed a bias reduction method for estimating the endpoint of a distribution function via an external estimator for the socalled second order parameter. Unlike the same study for the tail index of a heavy tailed distribution, the above procedure requires a
Characterization, Comparison, and Bias Reduction
"... We characterize climatological surface wind speed probability density functions (PDFs) estimated from observations and use them to evaluate, for the first time, contemporaneous wind PDFs predicted by a GCM. The observations include NASA’s global QuikSCAT scatterometer dataset, NCEPII 6hourly reanal ..."
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We characterize climatological surface wind speed probability density functions (PDFs) estimated from observations and use them to evaluate, for the first time, contemporaneous wind PDFs predicted by a GCM. The observations include NASA’s global QuikSCAT scatterometer dataset, NCEPII 6hourly reanalysis, and the TAO/TRITON moored buoy data, all from 2000–2005. Wind speed mean, 90th percentile, standard deviation, and Weibull shape parameter climatologies are constructed from these data. New features that emerge from our analysis include the identification of a stationary pattern to
Bias Reduction in European Option Pricing
, 2004
"... Pricing European options using price estimates of the underlying security that contain noise, create a bias in the option price. We present a technique to reduce this bias. Using ideas from the Longstaff and Schwartz (2001) algorithm, we prove that when the price of the underlying security belongs t ..."
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to a space spanned by a set of basis functions, the bias reduction technique can effectively remove the option price bias. In this setting we prove (i) the option price bias can be controlled by increasing the computational burden (ii) the proposed estimator for the price of the underlying security
Incremental Active Learning with Bias Reduction
, 1999
"... The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the learning results is assumed to be zero. In this paper, we remove this assumption and propose a new active learning metho ..."
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method with the bias reduction. The e#ectiveness of the proposed method is demonstrated through computer simulations. 1 Introduction Supervised learning is obtaining an underlying rule from sampled training examples and can be formulated as a function approximation problem. If sample points are actively
Bias Reduction and Elimination with Kernel Estimators
 Communications in Statistics: Theory and Methods
, 2001
"... This paper considers an alternative that uses a local approach to bandwidth selection to not only reduce the bias, but to eliminate it entirely. These socalled \zerobias bandwidths" are shown to exist for univariate and multivariate kernel density estimation as well as kernel regression. Impl ..."
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Cited by 2 (1 self)
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. Implications of the existence of such bandwidths are discussed. An estimation strategy is presented, and the extent of the reduction or elimination of bias in practice is studied through simulation and example. KEY WORDS: Nonparametric Estimation, Variable Bandwidth, Bandwidth Selection, CrossValidation.
BIAS REDUCTION FOR BAYESIAN AND FREQUENTIST ESTIMATORS
"... Abstract. We show that in parametric likelihood models the first order bias in the posterior mode and the posterior mean can be removed using objective Bayesian priors. These biasreducing priors are defined as the solution to a set of differential equations which may not be available in closed form ..."
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Abstract. We show that in parametric likelihood models the first order bias in the posterior mode and the posterior mean can be removed using objective Bayesian priors. These biasreducing priors are defined as the solution to a set of differential equations which may not be available in closed
Bias Reduction in Exponential Family Nonlinear Models
 Biometrika
, 2009
"... In Firth (1993, Biometrika) it was shown how the leading term in the asymptotic bias of the maximum likelihood estimator is removed by adjusting the score vector, and that in canonicallink generalized linear models the method is equivalent to maximizing a penalized likelihood which is easily implem ..."
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Cited by 21 (8 self)
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how the computational simplicity and statistical benefits of bias reduction extend beyond generalized linear models. 1
Analytic Bias Reduction for k–Sample Functionals 1 by
, 903
"... Abstract: We give analytic methods for nonparametric bias reduction that remove the need for computationally intensive methods like the bootstrap and the jackknife. We call an estimate pth order if its bias has magnitude n −p 0 as n0 → ∞, where n0 is the sample size (or the minimum sample size if th ..."
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Abstract: We give analytic methods for nonparametric bias reduction that remove the need for computationally intensive methods like the bootstrap and the jackknife. We call an estimate pth order if its bias has magnitude n −p 0 as n0 → ∞, where n0 is the sample size (or the minimum sample size
Results 1  10
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2,373