Online selection of alternating subsequences from a random sample

We consider sequential selection of an alternating subsequence from a sequence of independent, identically distributed, continuous random variables, and we determine the exact asymptotic behavior of an optimal sequentially selected subsequence. Moreover, we find (in a sense we make precise) that a person who is constrained to make sequential selections does only about 12 percent worse than a person who can make selections with full knowledge of the random sequence. © 2011 Applied Probability Trust.

Duke Scholars

Author Alessandro Arlotto Fuqua School of Business