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, 2020 The widespread availability of high-dimensional biological data has made the simultaneous screening of numerous biological characteristics a central statistical problem in computational biology.
Boileau, Philippe +3 more
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Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]
, 2001 Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Antoniadis, Anestis +2 more
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Combining Minimax Shrinkage Estimators [PDF]
Journal of the American Statistical Association, 1986 Abstract When one estimates a multivariate normal mean, the use of Stein estimation entails both the grouping of coordinates and the selection of a set of targets toward which to shrink each group. In this article we propose new minimax multiple shrinkage estimators that allow for multiple specifications of these aspects.
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Appoximation-assisted [sic] estimation of eigenvectors under quadratic loss [PDF]
, 2005 Improved estimation of eigen vector of covariance matrix is considered under uncertain prior information (UPI) regarding the parameter vector. Like statistical models underlying the statistical inferences to be made, the prior information will be ...
Ahmed, S.E.
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Forecasting Seasonal Sales with Many Drivers: Shrinkage or Dimensionality Reduction?
Applied System Innovation, 2022 Retailers depend on accurate forecasts of product sales at the Store × SKU level to efficiently manage their inventory. Consequently, there has been increasing interest in identifying more advanced statistical techniques that lead to accuracy ...
Patrícia Ramos +3 more
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Interval shrinkage estimation of two-parameter exponential distribution with random censored data [PDF]
Journal of Mahani Mathematical ResearchThe use of the two-parameter exponential distribution model in fitting survival and reliability analysis data in the presence of censored random data has recently attracted the attention of a large number of authors.
Ali Soori +4 more
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Entropy, 2022 This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model.
Syed Ejaz Ahmed +2 more
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System reliability estimation via shrinkage
Journal of Reliability Science and EngineeringIn a coherent reliability system composed of multiple components configured according to a specific structure function, the distribution of system time to failure, or system lifetime, is often of primary interest. Accurate estimation of system reliability is critical in a wide range of engineering and industrial applications, forming decisions in ...
Beidi Qiang, Edsel A Peña
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Optimal method in multiple regression with structural changes
, 2015 In this paper, we consider an estimation problem of the regression coefficients in multiple regression models with several unknown change-points. Under some realistic assumptions, we propose a class of estimators which includes as a special cases ...
Chen, Fuqi, Nkurunziza, Sévérien
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A Class of Shrinkage Estimators
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1978 Summary In this paper we define a class of shrinkage estimators, all of whose members have a mean square error matrix which is less than that of the ordinary least squares estimator by a positive semidefinite matrix if (β-b *)T X T X (β-b *) ≤ σ2.
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