Bivariate Normal Distribution

Known as: Bi-variate Normal Distribution 
A normal distribution which models two variables of interest. The parameters of the bivariate normal distribution include the mean and variance of… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1987-2017
02419872017

Papers overview

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2016
2016
Self-similarity is widely considered the reference framework for modeling the scaling properties of real-world data. However… (More)
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2013
2013
  • Deven Dhirajkumar Patel
  • 2013
This thesis aims to investigate immunological and virological markers of HIV infection during pregnancy and to inform… (More)
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2012
2012
A combined dual-tree transform wavelet (DT-CWT) and Bivariate Shrinkage for medical image watermarking is proposed in this paper… (More)
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2012
2012
  • I Chen-YinKuo
  • 2012
This paper fist examines three set of bivariate cointegrations between any two of current accounts, stock markets, and currency… (More)
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2008
2008
We study d-variate L2-approximation for a weighted unanchored Sobolev space having smoothness m ≥ 1. Folk wisdom would lead us to… (More)
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2008
2008
We propose a novel and efficient SAR image despeckling via bivariate shrinkage based on contourlet transform, which has been… (More)
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2006
2006
RATIONALE AND OBJECTIVES Some computer-aided diagnosis (CAD) methods produce a quantitative diagnostic assessment (eg, likelihood… (More)
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2004
2004
Frailty models are used in survival analysis to account for unobserved heterogeneity in individual risks to disease and death. To… (More)
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2003
2003
This paper attempts to assess the Europe-wide systemic risk potential in banking. We employ a bivariate GARCH model to estimate… (More)
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Highly Cited
2002
Highly Cited
2002
The performance of image-denoising algorithms using wavelet transforms can be improved significantly by taking into account the… (More)
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