A Bayesian model for local smoothing in kernel density by Brewer M. J.

By Brewer M. J.

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F y ( y ) = l f x ( y ) + fx(-y) IU(Y) (b) I f y > O and e - X ~ ( x ) = y ,t h e n x = - a n y . -- Furthermore, P{z=O) = P{x

5-9 For both cases, f y ( y ) = 0 f o r y < 0. 0 and 1x1 = y, then xlSy, x2--y. f y ( y ) = l f x ( y ) + fx(-y) IU(Y) (b) I f y > O and e - X ~ ( x ) = y ,t h e n x = - a n y . -- Furthermore, P{z=O) = P{x

5-9 For both cases, f y ( y ) = 0 f o r y < 0. 0 and 1x1 = y, then xlSy, x2--y. f y ( y ) = l f x ( y ) + fx(-y) IU(Y) (b) I f y > O and e - X ~ ( x ) = y ,t h e n x = - a n y . -- Furthermore, P{z=O) = P{x

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