Contents
What is the kernel of normal distribution?
From Wikipedia , The kernel of a probability density function (pdf) or probability mass function (pmf) is the form of the pdf or pmf in which any factors that are not functions of any of the variables in the domain are omitted.
What is the difference between a kernel and a distribution?
A distribution is just the kernel (which may include distribution specific patches) plus all the extra programs that make it usable. The kernel is a central project, and is nominally the same in each distro, but most distros customize it a bit.
What is a constant kernel?
Constant kernel. Can be used as part of a product-kernel where it scales the magnitude of the other factor (kernel) or as part of a sum-kernel, where it modifies the mean of the Gaussian process.
How to find the point where two normal distributions cross?
Closed 2 years ago. I have two normal distributions. Say for example, one with a mean of .76 and one with a mean of .62. Both standard deviations = .05. How do I find which point on the x-axis is where the two distributions cross? In other words, x-coordinate at the deepest part of the valley in between the two distributions? P.S.
When do the standard deviations and densities intersect?
When the standard deviations are the same, the densities intersect at the midpoint of the means. To answer the more general question in the title, presuming the distributions aren’t identical, there may be either one or two intersection points (typically two, unless the means differ but the standard deviations don’t, as discussed above).
How to calculate probability under the overlapping area of?
– Juho Kokkala Jun 18 ’14 at 8:37 If you sample points from either normal distribution, you get points on the Perikymata-axis rather than on the 2-dimensional area. Furthermore, the green zone is infinitely wide, so all values sampled from either distribution are under the green zone, so in this sense the probability would be 1.