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Posterior Moments of the Cauchy Distribution
1999The posterior moments of parameters specifying distributions are minimum mean square Bayesian estimators for the corresponding moments of those parameters, and as such are ubiquitous in the Bayesian approach to statistical inference of distributions. The Cauchy distribution is most notable for its wide tails, decided absence of high-order moments, and ...
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Locally optimum watermark decoder in NSST domain using RSS-based Cauchy distribution
Multimedia tools and applications, 2020Pan-pan Niu+4 more
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Half-Cauchy and Power Cauchy Distributions: Ordinary Differential Equations
2018In this chapter, homogenous ordinary differential equations (ODES) of different orders were obtained for the probability density function, quantile function, survival function inverse survival function, hazard function and reversed hazard functions of half-Cauchy and power Cauchy distributions.
Ezinne C. Erondu+4 more
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The Arctangent Regression and the Estimation of Parameters of the Cauchy Distribution
Journal of Mathematical Sciences, 2020I. H. Krykun
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Cancer statistics for adolescents and young adults, 2020
Ca-A Cancer Journal for Clinicians, 2020Kimberly D Miller+2 more
exaly
Neural computing & applications (Print), 2019
S. K. Dinkar, Kusum Deep
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S. K. Dinkar, Kusum Deep
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IEEE transactions on industrial electronics (1982. Print), 2017
P. Zhou, Youbin Lv, Hong Wang, T. Chai
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P. Zhou, Youbin Lv, Hong Wang, T. Chai
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De-noising of ultrasound image using Bayesian approached heavy-tailed Cauchy distribution
Multimedia tools and applications, 2019S. Sahu+3 more
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