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Statistical Estimation
Known as:
Estimation
Â
A statistical procedure for assigning a plausable value to a parameter based on measured/empirical data.
National Institutes of Health
Topic mentions per year
Topic mentions per year
1947-2018
0
20
40
60
1947
2017
Related topics
Related topics
4 relations
Estimated
National Health Interview Survey
Broader (2)
estimation <subjective>
quantitative data analysis
Related mentions per year
Related mentions per year
1936-2018
1940
1960
1980
2000
2020
Statistical Estimation
Estimated
National Health Interview Survey
quantitative data analysis
estimation <subjective>
Papers overview
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Highly Cited
2013
Highly Cited
2013
Suppression of Acoustic Noise in Speech Using Spectral Subtraction
James E. Youngberg
,
Tracy Petersen
,
Steven F. Boll
,
Elaine Cohen
2013
A new technique for the modelling of perceptual systems called formal modelling is developed. This technique begins with…Â
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Highly Cited
2009
Highly Cited
2009
Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network
SeYoung Kim
,
Eric P. Xing
PLoS genetics
2009
Many complex disease syndromes, such as asthma, consist of a large number of highly related, rather than independent, clinical or…Â
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Highly Cited
2008
Highly Cited
2008
Enhancing Sparsity by Reweighted 1 Minimization
Emmanuel J. Candès
,
Michael B. Wakin
,
Stephen P. Boyd
2008
It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what appear to be highly incomplete…Â
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Highly Cited
2007
Highly Cited
2007
An Inequality with Applications to Statistical Estimation for Probabilistic Functions of Markov Processes and to a Model for Ecology
J. A. EAGON
2007
1. Summary. The object of this note is to prove the theorem below and sketch two applications, one to statistical estimation for…Â
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Highly Cited
2007
Highly Cited
2007
Rejoinder : the Dantzig Selector : Statistical Estimation When P Is Much Larger Than
Emmanuel J. Candès
,
Terence Tao
2007
First of all, we would like to thank all the discussants for their interest and comments, as well as for their thorough…Â
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Highly Cited
2005
Highly Cited
2005
THE DANTZIG SELECTOR : STATISTICAL ESTIMATION WHEN p IS MUCH LARGER THAN n
Terence Tao
,
Hannes Helgason
2005
In many important statistical applications, the number of variables or parameters p is much larger than the number of…Â
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Highly Cited
2005
Highly Cited
2005
A Reliability Coefficient for Maximum Likelihood Factor Analysis*
Ledyard R. Tucker
,
Charles Lewis
,
Richard G. Montanelli
2005
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in…Â
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Highly Cited
2004
Highly Cited
2004
Enhancing Sparsity by Reweighted l1 Minimization
Emmanuel J. Candès
,
Michael B. Wakin
,
Stephen P. Boyd
2004
It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what appear to be highly incomplete…Â
(More)
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Highly Cited
2002
Highly Cited
2002
Modeling By Shortest Data Description*
J. RISSANENt
2002
It is known that the usual criteria resulting from such, should we dare to say, ad hoc principles as the least squares, the…Â
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Highly Cited
1993
Highly Cited
1993
Unconditional Bases are Optimal Bases for Data Compression and for Statistical Estimation
David L. Donoho
1993
An orthogonal basis of L which is also an unconditional basis of a functional space F is a kind of optimal basis for compressing…Â
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