Oct 14, 2017 · In this article, we pursue this research direction and present an estimator that we refer to as a Higher-Fidelity Frugal [7] quantile estimator.

Mar 30, 2018 · In this paper, we pursue this research direction and present an estimator that we refer to as a higher-fidelity frugal [1] quantile estimator.

This is the first paper, to our knowledge, that proves the advantages of discretization within the domain of quantile estimation). Comprehensive simulation ...

In this paper, we pursue this research direction and present an estimator that we refer to as a higher-fidelity frugal [1] quantile estimator. First, it ...

In this paper, we pursue this research direction and present an estimator that we refer to as a higher-fidelity frugal [1] quantile estimator. First, it ...

We present a new quantile estimator which merges all these three concepts, and which we refer to as a. Higher-Fidelity Frugal [1] (H-FF) quantile estimator.

A Higher-Fidelity Frugal Quantile Estimator · List of references · Publications that cite this publication.

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm. Yazidi, Anis; Hammer, Hugo Lewi; Oommen, John ...

Jun 22, 2018 · Abstract. The goal of our research is to estimate the quantiles of a distri- bution from a large set of samples that arrive sequentially.

Oct 9, 2015 · The goal of our research is to estimate the quantiles of a distribution from a large set of samples that arrive sequentially.