Thomas K. Philips, Emmanuel Yashchin, et al.
Journal of Portfolio Management
Chemoff’s bound on P[X ≥ t] is used almost universally when a tight bound on tail probabilities is required. In this article we show that for all positive t and for all distributions, the moment bound is tighter than Chemoff’s bound. By way of example, we demonstrate that the improvement is often substantial. © Taylor & Francis Group, LLC.
Thomas K. Philips, Emmanuel Yashchin, et al.
Journal of Portfolio Management
Randolph D. Nelson, Thomas K. Philips
Performance Evaluation
Randolph Nelson, Donald Towsley
Journal of the ACM (JACM)
Shivendra S. Panwar, Thomas K. Philips, et al.
IEEE Transactions on Communications