Results 61 to 70 of about 76,904 (164)
This paper focuses on the problem of determining the distribution functions of the product and the quotient of two independent random variables.
Dagmara Dudek, Anna Kuczmaszewska
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Power Prior Elicitation in Bayesian Quantile Regression
We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of ...
Rahim Alhamzawi, Keming Yu
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Regularized partially functional quantile regression
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Fang Yao, Shivon Sue-Chee, Fan Wang
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The Log-Expo Inverse Gompertz Distribution: properties and Estimations [PDF]
This paper introduces the Log-Expo Inverse Gompertz Distribution (LET-IG) three-parameter distribution and examines some of its mathematical properties. The study derives the density distribution, reliability function, and hazard rate function.
محمد عبد القادر +1 more
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High-Dimensional Spatial Quantile Function-on-Scalar Regression. [PDF]
Zhang Z, Wang X, Kong L, Zhu H.
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Recovery of a quantile function from moments
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Robert M. Mnatsakanov +1 more
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Enhancing ultra-short-term wind power forecasting using the Copula quantile regression method
In recent years, the shift toward renewable energy in China’s power industry has been remarkable, with the installed capacity of renewables surpassing that of coal-fired power.
Junhong GUO +5 more
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Multivariate quantile inactivity time with medical applications
The concept of α-quantile inactivity time was developed for situations with bivariate or multivariate random lifetimes. In this situation, each element has a specific history related to itself, indicating that the corresponding event occurred earlier ...
Mohamed Kayid
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This research discusses the performance of quantile regression and Bayesian quantile regression methods. Quantile regression uses parameter estimation by maximizing the value of the likelihood function, while Bayesian quantile regression uses parameter ...
Lilis Harianti Hasibuan +3 more
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Quantile functions provide a natural representation of probability distributions and offer direct advantages for random variate generation, simulation, and quantile-based statistical analysis.
Rakia Ahmed Yahia +2 more
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