QuantileRegression相关论文
Panel count data are frequently encountered when study subjects are under discrete ob-servations.However,limited literat......
Integrated habitat index for bigeye tuna(Thunnus obesus)in Marshall Islands waters based on quantile
Bigeye tuna(Thunnus obesus)is one of the most important fish species in Marshall Islands waters.There is a growing need ......
Quantile regression for partially linear varying-coefficient model with censoring indicators missing
In this paper,we focus on the partially linear varying-coefficient quantile regression model when the data are right cen......
The Northern Manhattan Study(NOMAS)is a population-based study designed to evaluate the impact of medical,socio-economic......
With modern technology development,functional data are often observed in various scientific fields....
Censored quantile regression offers a semiparametric alternative to the popular Cox proportional hazards model for descr......
We propose a method with a single predictor for equity premium prediction,in which three scenarios are defined as low,av......
Joint Regression Analysis of Marginal Quantiles and Quantile Association for Longitudinal and Cluste
We propose joint regression analysis of the marginal quantiles of longitudinal/clustered outcomes as well as the associa......
In this paper uniform confidence bands are constructed for non-parametric quantile estimates of regression functions.The......
Spatio-temporal variability about various extreme precipitation indices over recent 5decades(1961-2010) have been ca......
The streamflow modelling can be considered as a basic tool for the flood risk assessment and water resources managem......
In this project,we study the LGD modeling for online microloan using a real online P2P lending dataset.We first anal......
Statistical models for financial risk measurement, contagion and their applications in risk manageme
In this paper, some statistical models for financial risk measurement, contagion and default probability (such Quant......
利用MCEM算法对线性分位回归模型进行估计，给出了参数估计的MCEM算法，并将本方法应用到删失数据的线性分位回归模型．模拟结果表明，文章......
考虑了删失分位数变系数回归模型的FIC准则，并基于FIC准则给出了兴趣参数的模型选择和平均估计．为了全面反映响应变量的分布信息，克服......
We novelly transforms the lack-of-fit test for quantile regression models into checking the equality of two conditional ......
会议
本文研究了多阈值和非一致分布下的在线分位数回归算法,在每一次迭代中,样本会来自不同的分布和取不同的阈值.利用边缘分布在对偶......
This paper proposes a double penalized quantile regression for linear mixed effects model,which can select fixed and ran......
