  Feller's book An Introduction to Probability Theory and Its Application
discusses statistics corresponding to sequences of coin tosses, with a dollar
being won or lost depending on the outcome of each toss. This is equivalent to
analyzing walks in the plane with each step being one unit up or right.
  In his paper "Fully AUTOMATED computerized redux of Feller's (v.1) Ch. III
(and much more!)"
(http://sites.math.rutgers.edu/~zeilberg/mamarim/mamarimhtml/feller.html) and
the accompanying Maple package, Zeilberger computes the "grand generating
function," which, in a single blow, captures information about all of the walk
statistics discussed by Feller.
  In this paper, we continue to investigate walks using computer methods.
However, we shall introduce an approach different from that of Zeilberger, who
used computer algebra to exactly compute the weight enumerator over all
walks--an infinite sum expressed as an algebraic function. Our procedures input
a numeric value of $n$ and use dynamic programming methods to find the weight
enumerator over all walks of length $n$--a finite polynomial. Then, by
generating these polynomials for many values of $n$, we are able to conjecture
behavior of the moments of certain statistics as the walk length tends to
$\infty$.
  The advantage of this method is that it is easily applied to more general
problems not amenable to an analytic approach. For example, we use it to
analyze walks in three dimensions and walks where more general steps (e.g.,
diagonal steps) are allowed.
