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kernel estimation

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  • Stochastic kernel estimation — In statistics, a stochastic kernel estimate is an estimate of the transition function of a (usually discrete time) stochastic process. Often, this is an estimate of the conditional density function obtained using kernel density estimation. The… …   Wikipedia

  • Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… …   Wikipedia

  • Estimation par noyau — Estimation par la méthode du noyau d un échantillon de 100 nombres aléatoires distribués selon la loi normale pour différentes valeurs de la fenêtre. En statistique, l’estimation par noyau (ou encore méthode de Parzen Rozenblatt) est une méthode… …   Wikipédia en Français

  • Multivariate kernel density estimation — 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… …   Wikipedia

  • Kernel (statistics) — A kernel is a weighting function used in non parametric estimation techniques. Kernels are used in kernel density estimation to estimate random variables density functions, or in kernel regression to estimate the conditional expectation of a… …   Wikipedia

  • Kernel smoother — A kernel smoother is a statistical technique for estimating a real valued function f(X),,left( Xin mathbb{R}^{p} ight) by using its noisy observations, when no parametric model for this function is known. The estimated function is smooth, and the …   Wikipedia

  • Kernel regression — Not to be confused with Kernel principal component analysis. The kernel regression is a non parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non linear relation between a… …   Wikipedia

  • Kernel density estimation — Die Kerndichteschätzung (auch Parzen Methode[1], englisch: Kernel Density Estimation, KDE) ist ein Verfahren zur Darstellung einer eindimensionalen Verteilung. In der klassischen Statistik geht man davon aus, dass statistische Phänomene einer… …   Deutsch Wikipedia

  • Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… …   Wikipedia

  • Linux kernel — Linux Linux kernel 3.0.0 booting Company / developer Linus Torvalds and thousands …   Wikipedia

  • List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …   Wikipedia

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