Martingale's simple random walk is an algorithm pertaining to the wager system, in which one assumes the course of doubling one's wager in reaction to a win or halves one's wager in reaction to a loss.
So the formula:
( Xn+1 | X0 , ... , Xn )
In this it is supposed that the random variates have a finite constraint (or this equation does not hold up to infinite purposes).
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Simple!
It can be but it is not simple random sampling.
The expected value of a Martingale system is the last observed value.
Welll...... when you jump... you leave the ground... when you walk.... you dont.... unless your klumsy.... or if youre jump walking....
simple random sampling