Finite sequences representing expected order statistics
A. Okolewski, N. Papadatos

TL;DR
This paper characterizes finite sequences that can represent the expected order statistics from a sample, and as a by-product, it describes binomial mixtures supported in (0,1) and their convex hulls.
Contribution
It provides new characterizations of sequences representing expected order statistics and describes the convex hull of open binomial and moment curves.
Findings
Characterization of finite sequences as expected order statistics.
Exact description of the convex hull of the open binomial curve.
Analysis of binomial mixtures supported in (0,1).
Abstract
Characterizations of finite sequences representing expected values of order statistics from a random sample of size are given. As a by-product, a characterization of binomial mixtures, when the mixing random variable is supported in the open interval , is presented; this enables the exact description of the convex hull of the open binomial curve, as well as the open moment curve.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBayesian Methods and Mixture Models · Financial Risk and Volatility Modeling · Statistical Distribution Estimation and Applications
