Weighted LAD-LASSO method for robust parameter estimation and variable selection for Partially Linea

来源 :中国现场统计研究会 | 被引量 : 0次 | 上传用户：itache

【摘要】

：

We study robust parameter estimation and variable selection for partially linear models when the dimension of covariates diverges with the sample size.

【作者】

：

Hu Yang Ning Li

【机构】

：

College of Mathematics and Statistics,Chongqing University,401331,China

【出处】

：

中国现场统计研究会

【发表日期】

：

2015年3期

【关键词】

：

Partially linear models WLAD-LASSO robust parameter estimation variable selectio

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　We study robust parameter estimation and variable selection for partially linear models when the dimension of covariates diverges with the sample size.

其他文献

To Select Variables One at Most in a Group for Logistic Regression under Case-control Design

We investigate the scenario of selecting variables in both the group level and within-group level simultaneously,in the sense that at most one variable will be selected in each group.

会议

基于AIC信息准则的粗糙集选择算法

粗糙集是数据分类的常用方法之一。采用不同的粗糙集构造算法，得到的分类规则并不总是一样。通常，误判率是粗糙集选择的标准。然而，粗糙集的误判率最低，并不意味着它的预测准确度最高。

会议

AIC准则模型评价Logistic回归粗糙集

基于隐马尔科夫模型的微阵列基因杂交数据的贝叶斯分析

DNA拷贝数的变化与癌症和遗传性疾病有关，微阵列比较基因组杂交(array-CGH)方法是一种用于发现这种变化的重要技术。本文根据DNA片段间的距离及微阵列荧光强度对比数，建立用于分析array-CGH数据的贝叶斯隐马尔科夫模型。

会议

微阵列比较基因组杂交隐马尔科夫模型贝叶斯方法向前向后Gibbs算法

Statistical analysis of transformation model for censored lifetime medical cost

In this paper,we propose a transformation regression model for censored lifetime medical cost.

会议

基于机器学习的Logistic回归方法在癌症转移诊断中的应用

本文基于机器学习中的决策树、adaboost组合决策树方法结合Logistic回归模型，构建了癌症转移诊断的Logistic模型.对浙江大学附属第二医院甲状腺外科2013年－2014年间收治的713例甲状腺癌患者进行多项临床指标收集分析建模，最后建立的浙江省甲状腺癌中央区淋巴结转移模型诊断得到的误判率为23.46％，故认为可以在一定程度上参考基于机器学习的Logistic回归方法进行癌症转移的诊断

会议

数据挖掘癌症转移Logistic回归

Fitting Proportional Odds Model to Case-Control data with Incorporating Hardy-Weinberg Equilibrium

Genetic association studies have been proved to be an efficient tool to reveal the aetiology of many human complex diseases and traits.

会议

On asymptotic of semiparametric estimation under Cox proportional hazards model with covariates miss

This paper considers likelihood-based semiparametric estimation under the Cox proportional hazards model in the situations where some covariate entries are missing not at random(MNAR or NMAR).

会议

asymptotic normalityconsistencysemiparametric maximum likelihood estimationsu

Semi-parametric Small Area Inference for Generalized Semivarying-coefficient Mixed Effects Models

We investigate semi-parametric small area inference for generalized semi-varying coefficient mixed effects models with application to longitudinal data.

会议

A robust penalized estimation for identification in semiparametric additive models

In this paper,we provide a robust and efficient approach to identify nonzero components as well as linear components in semiparametric additive models by applying a two-fold SCAD penalty,based on moda

会议

Bayesian variable selection on semiparametric joint model of multivariate longitudinal and survival

There has been great interest in developing semiparametric joint models of longitudinal and survival data(JMLSs)and associated statistical inference procedures,including estimation and model selection

会议

Bayesian LassoBayesian penalized splinesJoint modelsMixture of normalsSurviv

Weighted LAD-LASSO method for robust parameter estimation and variable selection for Partially Linea

与本文相关的学术论文