Rank estimation error with and without churn
Rank-based tests of the cointegrating rank in semiparametric error correction models
... are rank- based. We do not restrict attention to rank-based tests a priori, but we prove that rank-based versions of the locally and asymptotically most stringent tests exist in the cointegration ...
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Fractional Cointegration Rank Estimation
... cointegration rank estimation for a p-dimensional Fractional Vector Error Correction ...cointegration rank r = 1; 2; : : : ; p 1: This step provides consistent estimates of the order of ...
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Multipath estimation based on modified ε-constrained rank-based differential evolution with minimum error entropy
... Multipath estimation, constrained optimization, mean square error (MSE), minimum error entropy (MEE), ε - constrained rank-based differential evolution ( ε ...dominant error sources ...
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Multipath estimation based on modified ε-constrained rank-based differential evolution with minimum error entropy
... square error (MSE) criterion is usually employed for multipath estimation under the assumption of Gaussian ...multipath estimation. In this work, a multipath estimation algorithm is proposed ...
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Estimation of the cointegrating rank in fractional cointegration
... First, we model a p × 1 vector of observables z t . Let u t be a p-dimensional covariance stationary process with spectral density positive definite and bounded at all frequencies; for real numbers θ i , i = 1, ..., p, ...
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Prediction error identification with rank-reduced output noise
... SISO estimation, the noise models are monic by definition, the estimation results of H b for the SISO estimation, are scaled by σ ε 1 /σ ε 2 to make the results compa- rable to the H b -estimate from ...
Rank-based camera spectral sensitivity estimation
... The Eucildean distance between these triples roughly correlate with our perception of colour difference with a ∆E error of one signifying, on average, just a noticeable difference [37]. Before we can use the ...
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Optimal Estimation of Low Rank Density Matrices
... In this subsection, we establish oracle inequalities for the von Neumann entropy penalized least squares estimator ˜ ρ ε in the case of trace regression model with Gaussian noise (As- sumption 4). Unlike in the case of ...
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Rank-One Matrix Completion with Automatic Rank Estimation via L1-Norm Regularization
... automatic rank estimation, based on rank-one ...reconstruction error given a fixed rank to predict the missing ...given rank is the true rank of the target incomplete ...
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Sampling Error Estimation in Stratified Surveys
... Keywords: Variance Estimation; Jackknife; Bootstrap; Stratified Sampling 1. Introduction Many of the operations carried out by official statistics institutions are based on surveys performed on a finite population ...
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False Discovery and Its Control in Low Rank Estimation
... the rank) and we apply the modification of Algorithm 1 for subspace stability ...squared error of ALS and subspace stability selection on the holdout set for these two datasets for a range of values of the ...
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Bootstrap-Based Regularization for Low-Rank Matrix Estimation
... matrix estimation that allows us to transform noise models into regularization schemes via a simple bootstrap ...estimates without specifying the target rank as a tuning ...
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On error estimation in atmospheric CO 2 inversions
... Prior Error [ 10 ] Prior constraint on source strengths is needed to avoid unrealistic solutions that arise because of poor data coverage over much of the world and the ill-conditioned nature of the inversion ...
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"Estimation Error in the Assessment of Financial Risk Exposure"
... of estimation error on the predicted probabilities without the problem of serial dependence that overlapping samples would ...our estimation with non-overlapping samples, but the forecasting ...
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Ensembles of probability estimation trees for customer churn prediction
... of churn prediction. An often-used performance criterion in churn prediction is lift ...on churn is top-decile lift, where the top 10 percent of customers with the highest probabilities to ...
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Estimation Error of the Constrained Lasso
... the estimation error of the constrained lasso, under the high-dimensional (n p) ...the error bound in this paper is sharp, is valid when the parameter to be estimated is not exactly sparse ...
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False Discovery Control in Low-rank Estimation
... Approaches based on false discovery (rate) control have had substantial impact on how variable or feature selection is done in practice.. False discovery control techniques useful primar[r] ...
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A New Preconditioner that Exploits Low-Rank Approximations to Factorization Error
... low rank, that is, it has a small number of large singular ...the error matrix E = U b −1 L b −1 A−I tends to have the same ...the error to accelerate the convergence of iterative ...
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Sources of Error in Software Cost Estimation
... Cost Estimation Today all tools provide the possibility to make assignment-scope prediction for natural ...The error is more common for manual ...The error is more severe for maintenance estimates ...
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A Posteriori Error Estimation for Predictive Models
... • (Quantity-of-Interest) A Posteriori error estimation is relatively mature mainly for elliptic problems. • Can provide both error estimates and error bounds (good for UQ)[r] ...
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