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![[Figure 1]](qi5001fig1mag.jpg)
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Figure 1
An example of fitting a geometric model to a data set. (a) The true data points (blue markers) are samples from a Gaussian distribution and their density is shown in blue in (b). The red markers are outliers and are samples from a uniform distribution in the range [1.5, 6.5]. The blue horizontal line on the left shows the true model (line). The green line shows the result of using non-robust statistics and the red line shows the result of using robust statistics. (b) The blue bars are the density of true data points and the red points are the density of outliers. The red curve shows the cost function used for the robust method and the green curve shows the cost function for the non-robust method. As can be seen, the cost function of the robust method has its optimum value where the density is close to maximum. |
![[Figure 1]](qi5001fig1.jpg)
 | STRUCTURAL BIOLOGY |
ISSN: 2059-7983
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