Results 111 to 120 of about 1,354,279 (305)
On empirical Bayes estimation of multivariate regression coefficient
International Journal of Mathematics and Mathematical Sciences, 2006 We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y=Xβ+ε, where Y is an m-vector of observations, X is a known m×k matrix, β is
R. J. Karunamuni, L. Wei
doaj +1 more source
Gradient Estimation using Lagrange Interpolation Polynomials [PDF]
In this paper we use Lagrange interpolation polynomials to obtain good gradient estimations.This is e.g. important for nonlinear programming solvers.As an error criterion we take the mean squared error.This error can be split up into a deterministic and ...
Brekelmans, R.C.M. +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To distinguish lateralized motor‐ and sensory‐tract damage after acute spinal cord injury (SCI) and explore its predictive power for motor and sensory recovery. Methods Thirty‐five SCI patients (two female) from a multi‐center data set (placebo‐arm of the Nogo‐A‐Inhibition in SCI trial) underwent routine T2‐weighted sagittal MRI ...
Lynn Farner +7 more
wiley +1 more source
Predictive Estimation of Finite Population Mean Using Exponential Estimators [PDF]
Statistika: Statistics and Economy Journal, 2014 This paper suggested the ratio-type and product-type exponential estimators of the population mean of a study variable through predictive approach using Bahl and Tuteja (1991) ratio-type and product-type exponential estimators as a predictor of the mean
Housila P. Singh +2 more
doaj
THE JOINT DISTRIBUTION OF VARIANCE RATIOS BASED ON A COMMON ERROR MEAN SQUARE [PDF]
, 1941 D. J. Finney
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Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett +8 more
wiley +1 more source
A Mean-Square-Error Characterization of Binomial-Type Distributions [PDF]
, 1967 M. C. K. Tweedie
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Asymptotic Prediction Mean Squared Error for Strongly Dependent Processes with Estimated Parameters [PDF]
In this paper we deal with the prediction theory of long memory processes. After investigating the general theory relating to convergence of moments of the nonlinear least squares estimators, we evaluate the asymptotic prediction mean squared error of ...
Naoya Katayama
core
on mean squared error of hierarchical estimator
Schedae Informaticae, 2011 In this paper a new theorem about components of the mean squared error of Hierarchical Estimator is presented. Hierarchical Estimator is a machine learning meta-algorithm that attempts to build, in an incremental and hierarchical manner, a tree of relatively simple function estimators and combine their results to achieve better accuracy than any of the
openaire +2 more sources
Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Bilateral globus pallidus pars interna deep brain stimulation (GPi‐DBS) is a recognized and effective treatment option for drug‐resistant dystonia patients. However, the clinical GPi‐DBS outcomes vary significantly. Herein, we explored the pre‐implant factors affecting GPi‐DBS effectiveness.
Mahboubeh Ahmadipour +6 more
wiley +1 more source