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Markov’s method

As will be shown, this u.se of delta functions is basically Markov s method for random variables. [Pg.13]

Thus / (R n) represents a random walk of n steps, each of length /. Equation (2.14) can be evaluated for a given t(R,-) by Markov s method as follows. Introducing the Fourier representation of the delta function... [Pg.14]

Essentially, Markov s method corresponds to the use of the Fourier representation of the Dirac delta function in (5.15),... [Pg.40]


See other pages where Markov’s method is mentioned: [Pg.268]   
See also in sourсe #XX -- [ Pg.13 , Pg.14 , Pg.37 , Pg.40 ]




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