5.2. We can apply two-dimensional kernel analysis directly, as well as using ASH. This is most straightforward
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5.2. We can apply two-dimensional kernel analysis directly, as well as using ASH. This is most straightforward for the normal kernel aligned with axes, that is with variance diag(h2x, h2y) . Then the kernel estimate is
which can be evaluated on a grid as XyT where Xis = ¢ ((gxi - X s) / hx)
and (gxi) are the grid points, and similarly for y. Write a function kde2d to implement this, and try it on the f ai thful examples. How would you choose the bandwidths?
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Related Book For
Modern Applied Statistics With S-Plus
ISBN: 9781489928191
1st Edition
Authors: W. N. Venables, B. D. Ripley
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