This is an old revision of this page, as edited by Miguel~enwiki (talk | contribs) at 07:31, 6 April 2002. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Revision as of 07:31, 6 April 2002 by Miguel~enwiki (talk | contribs)(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)A stochastic process is a . This means that, if
f : D -> R
is a random function with D and R, the image of each point of D, f(x), is a with values in R.
Of course, the mathematical definition of a includes the case "a function from {1,...,n} to R is a in R^n", so multidimensional random variables are a special case of stochastic processes.
For our first example, take the domain to be N, the , and our range to be R, the . Then, a function f : N -> R is a of real , and the following questions arise:
1) How is a specified?
2) How do we find the answers to typical questions about sequences, such as
a) what is the of the value of f(i)?
b) what is the that f is ?
c) what is the probability that is f ?
d) what is the probability that f(i) has a as i->infty?
e) if we construct a from f(i), what is the probability that the series ? What is the probability of the sum?