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Chernoff's distribution

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In probability theory, Chernoff's distribution, named after Herman Chernoff, is the probability distribution of the random variable

Z = argmax s R   ( W ( s ) s 2 ) ,

where W is a "two-sided" Wiener process (or two-sided "Brownian motion") satisfying W(0) = 0. If

V ( a , c ) = argmax s R   ( W ( s ) c ( s a ) 2 ) ,

then V(0, c) has density

f c ( t ) = 1 2 g c ( t ) g c ( t )

where gc has Fourier transform given by

g ^ c ( s ) = ( 2 / c ) 1 / 3 Ai ( i ( 2 c 2 ) 1 / 3 s ) ,       s R

and where Ai is the Airy function. Thus fc is symmetric about 0 and the density ƒZ = ƒ1. Groeneboom (1989) shows that

f Z ( z ) 1 2 4 4 / 3 | z | Ai ( a ~ 1 ) exp ( 2 3 | z | 3 + 2 1 / 3 a ~ 1 | z | )  as  z

where a ~ 1 2.3381 is the largest zero of the Airy function Ai and where Ai ( a ~ 1 ) 0.7022 .

References

Chernoff's distribution Wikipedia


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