Results 51 to 60 of about 44,356 (305)

Bayesian quantile regression for streaming data

AIMS Mathematics
Quantile regression has been widely used in many fields because of its robustness and comprehensiveness. However, it remains challenging to perform the quantile regression (QR) of streaming data by a conventional methods, as they are all based on the ...
Zixuan Tian, Xiaoyue Xie , Jian Shi
doaj   +1 more source

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
doaj   +1 more source

Quantile regression with group lasso for classification [PDF]

, 2015
Applications of regression models for binary response are very common and models specific to these problems are widely used. Quantile regression for binary response data has recently attracted attention and regularized quantile regression methods have ...
A Belloni, A Genkin, B Krishnapuram, C Manski, C Manski, D Benoit, D Hand, D Sharma, DF Andrews, F Bach, F Wei, G Kordas, H Kozumi, H Zou, Hussein Hashem, J Friedman, J Huang, J Powell, K Bae, K Lounici, K Lum, K Yu, K Yu, Keming Yu, L Meier, LV Miguéis, M Geraci, M Yuan, N Simon, P Breheny, Q Li, R Alhamzawi, R Alhamzawi, R Gramacy, R Koenker, R Tibshirani, R Tibshirani, Rahim Alhamzawi, Veronica Vinciotti, X Liu, Y Ji, Y Li   +41 more
core   +1 more source

Regression Adjustment for Noncrossing Bayesian Quantile Regression [PDF]

Journal of Computational and Graphical Statistics, 2017
A two-stage approach is proposed to overcome the problem in quantile regression, where separately fitted curves for several quantiles may cross. The standard Bayesian quantile regression model is applied in the first stage, followed by a Gaussian process regression adjustment, which monotonizes the quantile function whilst borrowing strength from ...
Rodrigues, Thais, Fan, Yanan
openaire   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

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
doaj   +1 more source

Fast calibrated additive quantile regression

, 2020
We propose a novel framework for fitting additive quantile regression models, which provides well calibrated inference about the conditional quantiles and fast automatic estimation of the smoothing parameters, for model structures as diverse as those ...
Azzalini A., Brent R. P., Hastie T., Hothorn T., Jones M., Margaux Zaffran, Matteo Fasiolo, Raphaël Nedellec, Robert C., Simon N. Wood, Yannig Goude, Yee T. W.   +11 more
core   +1 more source

A Bayesian Approach to Envelope Quantile Regression

Statistica Sinica, 2022
Summary: The enveloping approach employs sufficient dimension-reduction techniques to gain estimation efficiency, and has been used in several multivariate analysis contexts. However, its Bayesian development has been sparse, and the only Bayesian envelope construction is in the context of a linear regression.
Lee*, Minji, Chakraborty, Saptarshi, Su, Zhihua   +2 more
openaire   +2 more sources

Multi‐Tissue Genetic Regulation of RNA Editing in Pigs

Advanced Science, EarlyView.
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan, Wentao Gong, Xiaodian Cai, Jinyan Teng, Jiali Cai, Haonan Zeng, Wondossen Ayalew, Qingpeng Shen, Zhanming Zhong, Yifei Wang, Wenjing Zhang, Yuhan Tian, Dantong Xu, Yahui Gao, Hongwei Yin, Yuebo Zhang, Jiahui Hou, Tianru Zhou, Jiaqi Li, Lingzhao Fang, Xiaolong Yuan, Zhe Zhang   +21 more
wiley   +1 more source

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
doaj   +1 more source