Results 1 to 10 of about 61,557 (165)

Estimation of Gini Index within Pre-Specified Error Bound [PDF]

open access: yesEconometrics, 2016
Gini index is a widely used measure of economic inequality. This article develops a theory and methodology for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width without assuming any specific ...
Bhargab Chattopadhyay   +1 more
doaj   +4 more sources

Asymptotic Optimality of Antidictionary Codes [PDF]

open access: yes2010 IEEE International Symposium on Information Theory, 2010
An antidictionary code is a lossless compression algorithm using an antidictionary which is a set of minimal words that do not occur as substrings in an input string. The code was proposed by Crochemore et al.
Morita, Hiroyoshi, Ota, Takahiro
core   +2 more sources

On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources [PDF]

open access: yesEntropy, 2020
In this paper, we study the asymptotic optimality of a low-complexity coding strategy for Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a coding strategy when it is used to encode the most relevant vector ...
Jesús Gutiérrez-Gutiérrez   +2 more
doaj   +2 more sources

Step-stress accelerated degradation test for Inverse Gaussian process based on M-optimality criterion [PDF]

open access: yesScientific Reports
Step-Stress Accelerated Degradation Test (SSADT) has been extensively employed in reliability assessment of degradation-induced failure products, with growing attention focused on its optimal design.
Jiayin Tang, Hao Zhou
doaj   +2 more sources

Asymptotic optimality in stochastic optimization [PDF]

open access: yesThe Annals of Statistics, 2021
We study local complexity measures for stochastic convex optimization problems, providing a local minimax theory analogous to that of Hájek and Le Cam for classical statistical problems. We give complementary optimality results, developing fully online methods that adaptively achieve optimal convergence guarantees. Our results provide function-specific
Duchi, John C., Ruan, Feng
openaire   +3 more sources

Only Classical Parameterised States have Optimal Measurements under Least Squares Loss [PDF]

open access: yesQuantum, 2023
Measurements of quantum states form a key component in quantum-information processing. It is therefore an important task to compare measurements and furthermore decide if a measurement strategy is optimal.
Wilfred Salmon   +2 more
doaj   +1 more source

Planning Accelerated Life Tests for Burr Type X Failure Model with Type I Censoring [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2013
In this paper, we discuss the optimal accelerated life test plans for Burr type X distribution with log-linear model under periodic inspection and Type I censoring.
Nesar Ahmad, Sabiha Khan, M.G.M. Khan
doaj   +1 more source

Asymptotic Optimality for Decentralised Bandits [PDF]

open access: yesDynamic Games and Applications, 2022
AbstractWe consider a large number of agents collaborating on a multi-armed bandit problem with a large number of arms. The goal is to minimise the regret of each agent in a communication-constrained setting. We present a decentralised algorithm which builds upon and improves the Gossip-Insert-Eliminate method of Chawla et al. (International conference
Conor J. Newton   +2 more
openaire   +7 more sources

Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Continuous-Time Markov Decision Processes

open access: yesDiscrete Dynamics in Nature and Society, 2022
This paper is concerned with the asymptotic optimality of quantized stationary policies for continuous-time Markov decision processes (CTMDPs) in Polish spaces with state-dependent discount factors, where the transition rates and reward rates are allowed
Xiao Wu, Yanqiu Tang
doaj   +1 more source

A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning

open access: yesSensors, 2022
Motion planning is one of the important research topics of robotics. As an improvement of Rapidly exploring Random Tree (RRT), the RRT* motion planning algorithm is widely used because of its asymptotic optimality.
Yiyang Liu   +4 more
doaj   +1 more source

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