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Related papers: On General Weighted Extropy of Ranked Set Sampling

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The paper that is commented by Touchette contains a computational study which opens the door to a desirable generalization of the standard large deviation theory (applicable to a set of $N$ nearly independent random variables) to systems…

Statistical Mechanics · Physics 2015-06-12 Guiomar Ruiz , Constantino Tsallis

Recently, there has been growing attention to study uncertainty measures for doubly truncated random variables. In this paper, the concept of varextropy for doubly truncated random variables is introduced. The changes of this measure under…

Statistics Theory · Mathematics 2024-08-01 Raheleh Zamini , Somayeh Ghafouri , Faranak Goodarzi

Linear combinations of independent random variables have been extensively studied in the literature. However, most of the work is based on some specific distribution assumptions. In this paper, a companion of (J. Appl. Probab. 48 (2011)…

Statistics Theory · Mathematics 2013-12-11 Xiaoqing Pan , Maochao Xu , Taizhong Hu

We study a generalization of deduplication, which enables lossless deduplication of highly similar data and show that standard deduplication with fixed chunk length is a special case. We provide bounds on the expected length of coded…

Information Theory · Computer Science 2020-03-04 Rasmus Vestergaard , Qi Zhang , Daniel E. Lucani

We study the statistical properties of the sampled scale-free networks, deeply related to the proper identification of various real-world networks. We exploit three methods of sampling and investigate the topological properties such as…

Disordered Systems and Neural Networks · Physics 2009-11-24 Sang Hoon Lee , Pan-Jun Kim , Hawoong Jeong

We consider the Bayesian estimation of the parameters of a finite mixture model from independent order statistics arising from imperfect ranked set sampling designs. As a cost-effective method, ranked set sampling enables us to incorporate…

As learning difficulty is crucial for machine learning (e.g., difficulty-based weighting learning strategies), previous literature has proposed a number of learning difficulty measures. However, no comprehensive investigation for learning…

Machine Learning · Computer Science 2022-09-20 Weiyao Zhu , Ou Wu , Fengguang Su , Yingjun Deng

We consider independently identically distributed random compositions of the Gauss and R\'enyi maps that generate random continued fractions. Using methods of ergodic theory, thermodynamic formalism and large deviations, we show that…

Dynamical Systems · Mathematics 2025-10-29 Shintaro Suzuki , Hiroki Takahasi

Biased sampling designs can be highly efficient when studying rare (binary) or low variability (continuous) endpoints. We consider longitudinal data settings in which the probability of being sampled depends on a repeatedly measured…

The generalized word length pattern of an orthogonal array allows a ranking of orthogonal arrays in terms of the generalized minimum aberration criterion (Xu and Wu [Ann. Statist. 29 (2001) 1066-1077]). We provide a statistical…

Statistics Theory · Mathematics 2014-05-29 Ulrike Grömping , Hongquan Xu

We derive a composite centrality measure for general weighted and directed complex networks, based on measure standardisation and invariant statistical inheritance schemes. Different schemes generate different intermediate abstract measures…

Methodology · Statistics 2014-01-21 Andreas Joseph , Guanrong Chen

The goal of diversity sampling is to select a representative subset of data in a way that maximizes information contained in the subset while keeping its cardinality small. We introduce the ordered diverse sampling problem based on a new…

Computation and Language · Computer Science 2025-03-17 Ashish Tiwari , Mukul Singh , Ananya Singha , Arjun Radhakrishna

This paper investigates the weighted-averaging dynamic for unconstrained and constrained consensus problems. Through the use of a suitably defined adjoint dynamic, quadratic Lyapunov comparison functions are constructed to analyze the…

Optimization and Control · Mathematics 2014-07-30 Angelia Nedich , Ji Liu

We present a new class of estimators of Shannon entropy for severely undersampled discrete distributions. It is based on a generalization of an estimator proposed by T. Schuermann, which itself is a generalization of an estimator proposed…

Information Theory · Computer Science 2021-11-30 Peter Grassberger

Rank weights and generalized rank weights have been proven to characterize error and erasure correction, and information leakage in linear network coding, in the same way as Hamming weights and generalized Hamming weights describe classical…

Information Theory · Computer Science 2016-04-25 Umberto Martínez-Peñas

The notion of expansivity and its generalizations (measure expansive, measure positively expansive, continuum-wise expansive, countably-expansive) are well known for deterministic systems and can be a useful property for studying…

Dynamical Systems · Mathematics 2024-10-15 Rafael A. Bilbao , Marlon Oliveira , Eduardo Santana

In this work we develop a geometric approach to the study of rank metric codes. Using this method, we introduce a simpler definition for generalized rank weight of linear codes. We give a complete classification of constant rank weight code…

Information Theory · Computer Science 2020-01-23 Tovohery Hajatiana Randrianarisoa

We present an entropy comparison result concerning weighted sums of independent and identically distributed random variables.

Information Theory · Computer Science 2009-09-24 Yaming Yu

Measure of the weighted cumulative entropy about the predictability of failure time of a system have been introduced in [3]. Referring properties of doubly truncated (interval) cumulative residual and past entropy, several bounds and…

Information Theory · Computer Science 2015-08-28 Salimeh Yasaei Sekeh , Gholamreza Mohtashami Borzadran , Abdolhamid Rezaei Roknabadi

We consider linear codes over some fixed finite field extension over an arbitrary finite field. Gabidulin introduced rank metric codes, by endowing linear codes over the extension field with a rank weight over the base field and studied…

Information Theory · Computer Science 2013-11-01 Jérôme Ducoat
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