نتایج جستجو برای: james stein estimator

تعداد نتایج: 56551  

Journal: :Journal of the American Statistical Association 2011
Bradley Efron

We suppose that the statistician observes some large number of estimates z(i), each with its own unobserved expectation parameter μ(i). The largest few of the z(i)'s are likely to substantially overestimate their corresponding μ(i)'s, this being an example of selection bias, or regression to the mean. Tweedie's formula, first reported by Robbins in 1956, offers a simple empirical Bayes approach...

Journal: :Circulation 2011
Abhimanyu Uberoi Ricardo Stein Marco V Perez James Freeman Matthew Wheeler Frederick Dewey Roberto Peidro David Hadley Jonathan Drezner Sanjay Sharma Antonio Pelliccia Domenico Corrado Josef Niebauer N A Mark Estes Euan Ashley Victor Froelicher

Pelliccia, Domenico Corrado, Josef Niebauer, N.A. Mark Estes III, Euan Ashley and Victor Frederick Dewey, Roberto Peidro, David Hadley, Jonathan Drezner, Sanjay Sharma, Antonio Abhimanyu Uberoi, Ricardo Stein, Marco V. Perez, James Freeman, Matthew Wheeler, Interpretation of the Electrocardiogram of Young Athletes Print ISSN: 0009-7322. Online ISSN: 1524-4539 Copyright © 2011 American Heart Ass...

Journal: :bulletin of the iranian mathematical society 2012
mohammad mohammadi mohammad salehi marzijarani

inverse sampling design is generally considered to be appropriate technique when the population is divided into two subpopulations, one of which contains only few units. in this paper, we derive the horvitz-thompson estimator for the population mean under inverse sampling designs, where subpopulation sizes are known. we then introduce an alternative unbiased estimator, corresponding to post-str...

2009
Shinichi Nakajima Masashi Sugiyama

Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good performance was not completely understood beyond its experimental success. The purpose of this paper is to theoretically elucidate properties of a variational Bayesian matrix factorization method. In particular, its mechanism of avoi...

2009
Koorosh Mirpour Fabrice Arcizet Wei Song Ong James W. Bisley

Been there, seen that: 1 A neural mechanism for performing efficient visual search 2 3 Koorosh Mirpour, Fabrice Arcizet, Wei Song Ong, James W. Bisley 4 5 6 Affiliations: 7 8 1. Department of Neurobiology, David Geffen School of Medicine at UCLA, Los 9 Angeles, CA 90095 10 2. Jules Stein Eye Institute, David Geffen School of Medicine at UCLA, Los 11 Angeles, CA 90095 12 3. Department of Psychol...

2003
Woncheol Jang

We present a clustering method based on nonparametric density estimation. We use Kernel smoothing and orthogonal series estimators to estimate the density f and then we extract the connected components of the level set using a modified Cuevas et al (2000) algorithm. We extend an idea due to Stein (1981) and Beran and Dümbgen (1998) to construct confidence sets for the level set {f > δc} using t...

Journal: :Nordic Journal of Science and Technology Studies 2018

ژورنال: :دانش بیماری شناسی گیاهی 0
محمد عبدالهی mohammad abdollahi of nematology, department of plant protection, faculty of agriculture, yasouj university, yasouj, iran.نماتدشناسی، گروه گیاه پزشکی، دانشکده کشاورزی، دانشگاه یاسوج

عبدالهی، م. 1391. نماتدهای مرتبط با حشرات با تاکید بر گونه های بیمارگر . دانش بیماری شناسی گیاهی 2(1) : 49-34.  اغلب نماتدها آزادزی هستند. آن ها در دریاها، آب های شیرین و خاک زندگی و از باکتری ها، قارچ ها و سایر نماتدها تغذیه می کنند. بعضی شکارچی و عده ای انگل گیاهان و جانوران هستند. از بین نماتدهای انگل جانوری، برخی با حشرات در ارتباط هستند. نوع ارتباط نماتد با حشره در گروه های مختلف متفاوت اس...

Journal: :Computational Statistics & Data Analysis 2011
Adam R. Brentnall Martin Crowder David J. Hand

A general method is formalised for the problem of making predictions for a fixed group of individual units, following a sequence of repeated measures on each. A review of some related work is undertaken and, using some of its terminology, the approach might be described as approximate non-parametric empirical Bayes prediction. It is contended that the method may often produce predictions that a...

2007
Wenhua Jiang Cun-Hui Zhang

We propose a general maximum likelihood empirical Bayes (GMLEB) method for the estimation of a mean vector based on observations with iid normal errors. We prove that under mild moment conditions on the means, the average mean squared error (MSE) of the GMLEB is within an infinitesimal fraction of the minimum average MSE among all separable estimators which use a single deterministic estimating...

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