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- Multivariate_kernel_density_estimation abstract "Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density estimation with improved statistical properties. Apart from histograms, other types of density estimators include parametric, spline, wavelet and Fourier series. Kernel density estimators were first introduced in the scientific literature for univariate data in the 1950s and 1960s and subsequently have been widely adopted. It was soon recognised that analogous estimators for multivariate data would be an important addition to multivariate statistics. Based on research carried out in the 1990s and 2000s, multivariate kernel density estimation has reached a level of maturity comparable to its univariate counterparts.".
- Multivariate_kernel_density_estimation thumbnail Synthetic_data_2D_histograms.png?width=300.
- Multivariate_kernel_density_estimation wikiPageExternalLink index.html.
- Multivariate_kernel_density_estimation wikiPageExternalLink index.html.
- Multivariate_kernel_density_estimation wikiPageExternalLink np.pdf.
- Multivariate_kernel_density_estimation wikiPageExternalLink libagf.sf.net.
- Multivariate_kernel_density_estimation wikiPageExternalLink 17204.
- Multivariate_kernel_density_estimation wikiPageExternalLink research.
- Multivariate_kernel_density_estimation wikiPageID "28831427".
- Multivariate_kernel_density_estimation wikiPageRevisionID "604376626".
- Multivariate_kernel_density_estimation hasPhotoCollection Multivariate_kernel_density_estimation.
- Multivariate_kernel_density_estimation subject Category:Computational_statistics.
- Multivariate_kernel_density_estimation subject Category:Estimation_of_densities.
- Multivariate_kernel_density_estimation subject Category:Multivariate_statistics.
- Multivariate_kernel_density_estimation subject Category:Non-parametric_statistics.
- Multivariate_kernel_density_estimation comment "Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density estimation with improved statistical properties. Apart from histograms, other types of density estimators include parametric, spline, wavelet and Fourier series.".
- Multivariate_kernel_density_estimation label "Multivariate kernel density estimation".
- Multivariate_kernel_density_estimation sameAs m.0dddzw2.
- Multivariate_kernel_density_estimation sameAs Q6935135.
- Multivariate_kernel_density_estimation sameAs Q6935135.
- Multivariate_kernel_density_estimation wasDerivedFrom Multivariate_kernel_density_estimation?oldid=604376626.
- Multivariate_kernel_density_estimation depiction Synthetic_data_2D_histograms.png.
- Multivariate_kernel_density_estimation isPrimaryTopicOf Multivariate_kernel_density_estimation.
