Results 21 to 30 of about 10,621 (115)

Variational Bayesian Inference for Quantile Regression Models with Nonignorable Missing Data

Mathematics, 2023
Quantile regression models are remarkable structures for conducting regression analyses when the data are subject to missingness. Missing values occur because of various factors like missing completely at random, missing at random, or missing not at ...
Xiaoning Li, Mulati Tuerde, Xijian Hu
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Performance Quantile Regression and Bayesian Quantile Regression in Dealing with Non-normal Errors (Case Study on Simulated Data)

Numerical: Jurnal Matematika dan Pendidikan Matematika
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, Ferra Yanuar, Vika Pradinda Harahap, Latifatul Qalbi   +3 more
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The effect of agricultural futures price changes on the agricultural production in AP Vojvodina [PDF]

Ekonomika Poljoprivrede (1979), 2019
This paper investigates whether global agricultural futures of corn, wheat, oats, soybean and canola have any influence on the annual agricultural production of these plants in AP Vojvodina.
Živkov Dejan, Papić-Blagojević Nataša, Lončar Sanja   +2 more
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ANALISIS PERTAMBAHAN TINGGI BADAN BALITA STUNTING DI PROVINSI SUMATERA BARAT MENGGUNAKAN METODE REGRESI KUANTIL BINER BAYESIAN

Jurnal Lebesgue
Stunting is one of the national health problems in Indonesia, where children experience growth failure. This study aims to construct a model for the classification of height gain of stunting toddlers in West Sumatra Province using the Bayesian binary ...
Cintya Mukti, Ferra Yanuar, Dodi Devianto   +2 more
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Bayesian analysis for quantile smoothing spline

Statistical Theory and Related Fields, 2021
In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines.
Zhongheng Cai, Dongchu Sun
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Investigation into Interactions between Accident Consequences and Traffic Signs: A Bayesian Bivariate Tobit Quantile Regression Approach

Journal of Advanced Transportation, 2018
This study intended to investigate the interactions between accident severity levels and traffic signs in state roads located in Croatia and explore the correlation between accident severity levels and heterogeneity attributed to unobserved factors.
Xuecai Xu, Željko Šarić
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Friction Characteristics of Post-Tensioned Tendons of Full-Scale Structures Based on Site Tests

Advances in Civil Engineering, 2020
In the design of prestressing concrete structures, the friction characteristics between strands and channels have an important influence on the distribution of prestressing force, which can be considered comprehensively by curvature and swing friction ...
Haoyun Yuan, Yuan Li, Bin Zhou, Shuanhai He, Peizhi Wang   +4 more
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Risk measurement of oil price based on Bayesian nonlinear quantile regression model

Alexandria Engineering Journal, 2021
Oil price forecasting is one of the most challenging issues since it is noisy, non-stationary, and chaotic. In this paper, we design a Bayesian Nonlinear Quantile method consisting of a Threshold Improved model and an Adaptive MCMC model to improve ...
Jian Zhu, Haiming Long, Jingjing Deng, Wenzhi Wu   +3 more
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Identification of Wiener Model with Internal Noise Using a Cubic Spline Approximation-Bayesian Composite Quantile Regression Algorithm

Complexity, 2020
A cubic spline approximation-Bayesian composite quantile regression algorithm is proposed to estimate parameters and structure of the Wiener model with internal noise.
Tianhong Pan, Wei Guo, Ying Song, Fujia Yin   +3 more
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A Bayesian Equal Part Regression Analysis of the Influencing Factors of Taiwanese People’s Regime Acceptance of Mainland China and U.S. Governments

Mathematics, 2019
This study utilized the newly-designed Bayesian equal part regression (BEPR) model to analyze the Taiwan National Security surveyed data from 2015 in order to construct a model of Taiwanese people’s regime acceptance of Mainland China and U.S ...
Shianghau Wu
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