<p>The black line shows the actual data and the red line shows the Gaussian mixtures simulated based on patch categories. Bottom panel: Fit of the data (black) and 39 simulations (highest and lowest values of the simulations indicated with red dots).</p
<p>Panel A: simulated epidemic curves (gray lines) using the observed household networks with three ...
Kernel density maps- the distribution of overlap between GS-SCZ, GS-Ht preserved modules and backgro...
8.2 Density Estimation The three kernel functions are implemented in R as shown in lines 1–3 of Figu...
<p>The black line shows the actual data and the red line shows the the Gaussian mixtures simulated b...
<p>The dark line represents the kernel density estimate while the grey lines are scaled Gaussian ker...
<p>Deviations above or below 95% limits of Monte Carlo simulations based on Gaussian mixture models ...
<p>In those cases where ΔAIC<2, both distributions are shown. For each quilt, the best fit distribut...
<p>As indicated graphically in the plots on the left and as discussed in the text, the differences b...
We study the worst case error of kernel density estimates via subset approximation. A kernel density...
Kernel densities (red line) of the centered estimates against a corresponding Gaussian distribution ...
Histograms are the usual vehicle for representing medium sized data distributions graphically, but t...
<p>Top to bottom: Prevalence of MDE, Prevalence of GAD, Odds ratio, Cronbach' alpha. Densities of ne...
<p>Kernel density estimates of posterior distributions are in black, while true values are represent...
International audienceIn this paper, we investigate a technique inspired by Ripley’s circumference m...
<p>Genuine (blue) and skilled forgery signatures (red points), 100 subjects. Marginal kernel densiti...
<p>Panel A: simulated epidemic curves (gray lines) using the observed household networks with three ...
Kernel density maps- the distribution of overlap between GS-SCZ, GS-Ht preserved modules and backgro...
8.2 Density Estimation The three kernel functions are implemented in R as shown in lines 1–3 of Figu...
<p>The black line shows the actual data and the red line shows the the Gaussian mixtures simulated b...
<p>The dark line represents the kernel density estimate while the grey lines are scaled Gaussian ker...
<p>Deviations above or below 95% limits of Monte Carlo simulations based on Gaussian mixture models ...
<p>In those cases where ΔAIC<2, both distributions are shown. For each quilt, the best fit distribut...
<p>As indicated graphically in the plots on the left and as discussed in the text, the differences b...
We study the worst case error of kernel density estimates via subset approximation. A kernel density...
Kernel densities (red line) of the centered estimates against a corresponding Gaussian distribution ...
Histograms are the usual vehicle for representing medium sized data distributions graphically, but t...
<p>Top to bottom: Prevalence of MDE, Prevalence of GAD, Odds ratio, Cronbach' alpha. Densities of ne...
<p>Kernel density estimates of posterior distributions are in black, while true values are represent...
International audienceIn this paper, we investigate a technique inspired by Ripley’s circumference m...
<p>Genuine (blue) and skilled forgery signatures (red points), 100 subjects. Marginal kernel densiti...
<p>Panel A: simulated epidemic curves (gray lines) using the observed household networks with three ...
Kernel density maps- the distribution of overlap between GS-SCZ, GS-Ht preserved modules and backgro...
8.2 Density Estimation The three kernel functions are implemented in R as shown in lines 1–3 of Figu...
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