Inference in Conditional Moment Restrictions Models in the Presence of Censoring on the Dependent Va

来源 :The Third IMS-China International Conference on Statistics a | 被引量 : 0次 | 上传用户:lisanshuxuejj
下载到本地 , 更方便阅读
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
  Much of the recent statistics, biostatistics and econometric literature investigate conditional moment restrictions (or estimating equations) models in the presence of censored observations.Parametric censored regression and censored quantile regression models are benchmark examples.
其他文献
Since the randomized response model to solicit sensitive information was proposed by Warner in 1965, it has been used in a broad range of statistical applications for surveys involving sensitive quest
会议
We present a new modeling strategy in continuous-time functional data analysis.We consider the problem of estimating an unkuown smooth function given fumctional data with noise.The unknown function is
会议
In disease classification, and prognostic analysis, the diseased and nondiseased classes are usually unbalanced and one class may be more important than the other depending on the diagnosis purpose.Mo
会议
Bayes factor usually models the distribution of the observed data under the alternative hypothesis H1 over that under the null hypothesis Ho, It has also been used to model the distribution of a test
会议
The growing availability of population based disease registry data has brought precious opportunities for epidemiologists to understand the natural history of chronic diseases.It also presents challen
会议
The receiver operating characteristic (ROC) curve and its summary measure,the area under the ROC curve (AUC), are useful statistical tool to evaluate the performance of a biomarker predicting disease
会议
We will discuss a general semi-parametric estimation strategy for analyses of longitudinal binary response data ascertained from outcome dependent sampling designs.The Sequential Offsetted Logistic Re
会议
Gene-gene interactions have long been recognized to be fundamentally inportant to understand genetic causes of complex disease traits.At present, identifying gene-gene interactions from genome-wide ca
会议
Genomic imprinting and maternal effects are two epigenetic factors that have been increasingly explored for their roles in the etiology of complex diseases.This is part of a concerted effort to find t
会议
Feature extraction corresponds to reduced rank modeling which has been widespread real-world applications.This talk investigates non-asymptotic performance of rank penalized estimators.The constructio
会议