Graphical Model Estimation in Heterogenous Populations

来源 :上海交通大学 | 被引量 : 0次 | 上传用户:yipan1975
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
  We introduce a general framework for estimation of inverse covariance,or precision,matrices from heterogeneous populations.
其他文献
In many applications,including disease early detection and prevention,and performance evaluation of airplanes and other durable products,we need to sequentially monitor the longitudinal pattern of cer
High-throughput biological data,such as microarray data and gene sequencing data,are plagued by unwanted variation – systematic errors introduced by variations in experimental conditions such as tempe
The extent of phase 3 failures contributes significantly to the increasing costs of drug development.
Functional data analysis is powerful in analyzing data that can be represented by curves or images.
In oncology area,following a phase Ⅰ dose-finding trial completed in a certain population of patients,further phase Ⅰ trials are often conducted to determine the maximum tolerated dose(MTD)for differe
The alternating least squares(ALS)algorithm is a most popular iterative computational method for complex data,such as mixed measurement levels data.
Covariate measurement error has attracted extensive interest in survival analysis.Since Prentice(1982),a large number of inference methods have been developed to handle error-contaminated data,and mos
In survival analysis,Accelerated Failure Time(AFT)models are very useful in modeling the relationship between failure times and associated covariates,where covariate effects are usually assumed to app
The classical optimal design methods have the capability of determining designs to achieve estimation or prediction efficiency in situations where the working model is correctly specified.
One key challenge with big-data is that it may not fit or cannot be processed in a single machine.A common approach to statistical learning in this setting is to randomly split the data among m machin