Chi-squared target models

Known as: Chi-Square Target Models, Chi-squared, Swerling Target Models 
Swerling models were introduced by Peter Swerling and are used to describe the statistical properties of the radar cross-section of complex objects.
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2017
2017
Proving tight bounds on information-theoretic indistinguishability is a central problem in symmetric cryptography. This paper… (More)
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2016
2016
Hypothesis testing is a useful statistical tool in determining whether a given model should be rejected based on a sample from… (More)
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Highly Cited
2013
Highly Cited
2013
In this paper we focus on robust linear optimization problems with uncertainty regions defined by φ-divergences (for example, chi… (More)
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Highly Cited
2013
Highly Cited
2013
We show that a class of nonlinear kernel SVMs admits approximate classifiers with runtime and memory complexity that is… (More)
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Highly Cited
2012
Highly Cited
2012
This paper proposes a very simple test of Granger (1969) non-causality for heterogeneous panel data models. Our test statistic is… (More)
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2010
2010
Among the steganographic techniques and particularly in conventional least significant bit (LSB) insertion method, there is a… (More)
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Highly Cited
2006
Highly Cited
2006
The problem addressed in this paper is the test for presence of any telecommunication signal within a given frequency band, which… (More)
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Highly Cited
2003
Highly Cited
2003
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  • 2003
Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or… (More)
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2003
2003
We compare two statistical methods for identifying spam or junk electronic mail. The proliferation of spam email has made… (More)
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Highly Cited
1996
Highly Cited
1996
We introduce reprojection as a general purpose technique for characterizing the observable dynamics of a partially observed… (More)
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