On the Asymptotic Optimality of a Low-Complexity Coding Strategy for WSS, MA, and AR Vector Sources [PDF]
Entropy, 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
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Step-stress accelerated degradation test for Inverse Gaussian process based on M-optimality criterion [PDF]
Scientific ReportsStep-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
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Only Classical Parameterised States have Optimal Measurements under Least Squares Loss [PDF]
Quantum, 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
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Planning Accelerated Life Tests for Burr Type X Failure Model with Type I Censoring [PDF]
Journal 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
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Discrete 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
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A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning
Sensors, 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
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Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data
Mathematics, 2023 In the past few decades, model averaging has received extensive attention, and has been regarded as a feasible alternative to model selection. However, this work is mainly based on parametric model framework and complete dataset.
Guozhi Hu, Weihu Cheng, Jie Zeng
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A New Construction of Codebooks Meeting the Levenshtein Bound
IEEE Access, 2020 Codebooks with low coherence have extensive applications in many fileds such as code division multiple access (CDMA) communication systems, MIMO communications, compressed sensing and so on. In this paper, based on additive characters over finite fields,
Li Han +3 more
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Zero-order Approximation of Three-time Scale Singular Linear-quadratic Optimal Control Problem
Моделирование и анализ информационных систем, 2015 This paper is devoted to the construction of a zero-order approximation of the solution of a three-time scale singular perturbed linear-quadratic optimal control problem with the help of the direct scheme method.
M. A. Kalashnikova
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Model averaging for generalized linear models in fragmentary data prediction
Statistical Theory and Related Fields, 2022 Fragmentary data is becoming more and more popular in many areas which brings big challenges to researchers and data analysts. Most existing methods dealing with fragmentary data consider a continuous response while in many applications the response ...
Chaoxia Yuan, Yang Wu, Fang Fang
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