Bivariate data

In statistics, bivariate data is data that has two variables. The quantities from these two variables are often represented using a scatter plot… (More)
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Topic mentions per year

Topic mentions per year

1977-2017
051019772017

Papers overview

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2014
2014
It is well known that the traditional Pearson correlation in many cases fails to capture non-linear dependence structures in… (More)
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2014
2014
  • Alexander Dokumentov
  • 2014
In this article we explore some bivariate smoothing methods with partial differential regularizations designed to handle smooth… (More)
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2012
2012
Huge amounts of various research data are produced and made publicly available in digital libraries. An important category is… (More)
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2006
2006
The Upper Level Scan Statistic (ULS), its theory, design and implementation, and its extension to the bivariate data are… (More)
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2003
2003
In this paper penalized weighted least-squares is used to jointly estimate nonparametric functions from contemporaneously… (More)
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Highly Cited
2002
Highly Cited
2002
We extend the method of recurrence plots to cross recurrence plots (CRP) which enables a nonlinear analysis of bivariate data. To… (More)
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2000
2000
We use the analytic signal approach based on the Hilbert transform to compute the phase di erence between two non-stationary… (More)
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Highly Cited
1998
Highly Cited
1998
We use the analytic signal approach based on the Hilbert transform to compute the phase difference between two non-stationary… (More)
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1997
1997
The equivalence of visual and auditory scatterplots was examined in two experiments. Experiment 1 examined the relationship… (More)
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1996
1996
Regression and principal components analysis (PCA) are two of the most widely used techniques in chemometrics. In this paper… (More)
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