Kernel densities (red line) of the centered estimates against a corresponding Gaussian distribution (black line) for all the combinations of the sample size and replications (indicated in the top of each plot).</p
International audienceWe consider the problem of estimating the gradient lines of a density, which c...
<p>The distribution of transmitters 1–5 is represented in (a)–(e), respectively. The dashed line ind...
<p>The black line shows the actual data and the red line shows the the Gaussian mixtures simulated b...
Kernel density plots showing the convergence clubs of the countries, 1970–2015.</p
Convergence curves with different kernel bandwidths γ. The picture depicts the convergence curves of...
<p>The black line shows the actual data and the red line shows the Gaussian mixtures simulated based...
Conditional distributions for the analysis of convergence are usually estimated using a standard ker...
<p>Data points represent averages taken over different simulations, where the individual initial di...
<p>The dark line represents the kernel density estimate while the grey lines are scaled Gaussian ker...
Kernel density estimation results of the sample distribution of the parameters.</p
This note extends the standard kernel density estimator to the case of weighted samples in several w...
Let f be a multivariate density and fn be a kernel estimate of f drawn from the n-sample X1,...,Xn o...
<p>Convergence performance on the Dixon-Price function with different dimensions.</p
This paper studies the problem of estimating the density of U when only independent copies of X = U ...
Contains fulltext : 224462.pdf (Publisher’s version ) (Closed access
International audienceWe consider the problem of estimating the gradient lines of a density, which c...
<p>The distribution of transmitters 1–5 is represented in (a)–(e), respectively. The dashed line ind...
<p>The black line shows the actual data and the red line shows the the Gaussian mixtures simulated b...
Kernel density plots showing the convergence clubs of the countries, 1970–2015.</p
Convergence curves with different kernel bandwidths γ. The picture depicts the convergence curves of...
<p>The black line shows the actual data and the red line shows the Gaussian mixtures simulated based...
Conditional distributions for the analysis of convergence are usually estimated using a standard ker...
<p>Data points represent averages taken over different simulations, where the individual initial di...
<p>The dark line represents the kernel density estimate while the grey lines are scaled Gaussian ker...
Kernel density estimation results of the sample distribution of the parameters.</p
This note extends the standard kernel density estimator to the case of weighted samples in several w...
Let f be a multivariate density and fn be a kernel estimate of f drawn from the n-sample X1,...,Xn o...
<p>Convergence performance on the Dixon-Price function with different dimensions.</p
This paper studies the problem of estimating the density of U when only independent copies of X = U ...
Contains fulltext : 224462.pdf (Publisher’s version ) (Closed access
International audienceWe consider the problem of estimating the gradient lines of a density, which c...
<p>The distribution of transmitters 1–5 is represented in (a)–(e), respectively. The dashed line ind...
<p>The black line shows the actual data and the red line shows the the Gaussian mixtures simulated b...
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