Results 1 to 10 of about 5,341,760 (330)
A novel Student’s t-based robust Poisson multi-Bernoulli mixture (PMBM) filter is proposed to effectively perform multi-target tracking under heavy-tailed process and measurement noises.
Jiangbo Zhu, Weixin Xie, Zongxiang Liu
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Similarity of Symbol Frequency Distributions with Heavy Tails [PDF]
13 pages, 7 ...
Gerlach, M., Font-Clos, F., Altmann, E.
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A CONTROL CHART FOR HEAVY TAILED DISTRIBUTIONS
Standard control charts with control limits determined by the mean and standard error of the mean are constructed based on the assumption that the distribution of the quality characteristic being monitored follows a normal distribution. However, this assumption is not always valid.
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Private Mean Estimation of Heavy-Tailed Distributions
Appeared in COLT ...
Gautam Kamath 0001 +2 more
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Heavy‐tailed log hydraulic conductivity distributions imply heavy‐tailed log velocity distributions [PDF]
Equations of contaminant transport describing non‐Gaussian dispersion of solute in heterogeneous porous media have been developed by several authors (e.g., Berkowitz and Scher (1995, 1998), Benson (1998, 2001), Berkowitz et al. (2000), and Baeumer et al. (2005)).
Matthew V. Kohlbecker +2 more
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Distributed Consensus Multi-Distribution Filter for Heavy-Tailed Noise
Distributed state estimation is one of the critical technologies in the field of target tracking, where the process noise and measurement noise may have a heavy-tailed distribution.
Guan-Nan Chang +4 more
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Asymptotics for the Solutions to Defective Renewal Equations
This paper investigates the defective renewal equations under the nonconvolution equivalent distribution class. The asymptotics of the solution to the defective renewal equations have been given for the heavy-tailed and light-tailed cases, respectively.
Kaiyong Wang, Yang Chen, Zhongquan Tan
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This paper discusses the problem of the mean changes in time series with heavy-tailed AR(p) noise. Firstly, it proposes a modified ratio-type test statistic, and the results show that under the null hypothesis of no mean change, the asymptotic ...
Tianming Xu, Yuesong Wei
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Bayesian Robustness Modelling Using the Floor Distribution
In Bayesian analysis, the prior distribution and the likelihood can conflict, in the sense that they can carry diverse information about the parameter of interest. The most common form of conflict is the presence of outliers in the data.
J. A. A. Andrade +2 more
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Characterizing Heavy-Tailed Distributions Induced by Retransmissions [PDF]
Consider a generic data unit of random size L that needs to be transmitted over a channel of unit capacity. The channel availability dynamic is modeled as an independent and identically distributed sequence { A , A
Jelenković, Predrag R., Tan, Jian
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