In statistics, bivariate data is data that has two variables. The quantities from these two variables are often represented using a scatter plotâ€¦Â (More)

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2014

2014

- Geir Drage Berentsen, Dag TjÃ¸stheim
- Statistics and Computing
- 2014

It is well known that the traditional Pearson correlation in many cases fails to capture non-linear dependence structures inâ€¦Â (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 smoothâ€¦Â (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 isâ€¦Â (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 areâ€¦Â (More)

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2003

2003

In this paper penalized weighted least-squares is used to jointly estimate nonparametric functions from contemporaneouslyâ€¦Â (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. Toâ€¦Â (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-stationaryâ€¦Â (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-stationaryâ€¦Â (More)

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1997

1997

- John H. Flowers, Dion C. Buhman, Kimberly D. Turnage
- Human Factors
- 1997

The equivalence of visual and auditory scatterplots was examined in two experiments. Experiment 1 examined the relationshipâ€¦Â (More)

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1996

1996

- Darren T. Andrews, David C. Hami
- 1996

Regression and principal components analysis (PCA) are two of the most widely used techniques in chemometrics. In this paperâ€¦Â (More)

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