High-dimensionaldata相关论文
The testing covariance equality is of importance in many areas of statistical analysis,such as mi-croarray analysis and ......
The paper considers a high-dimensional likelihood ratio(LR)test on the intraclass correlation structure of the multivari......
Several tests for multivariate mean vector have been proposed in the recent literature.Generally,these tests are directl......
High-throughput expression profiling techniques bring novel tools and also statis-tical challenges to genetic research....
In recent years,with rapid development of data collecting technologies,high-dimensional data become increasingly prevale......
This talk studies a problem of predicting seasonal precipitation over East Asia from real observations and multi-model e......
In applied statistics the main interest in many applications in science is explaining the relationships between multiple......
In this presentation,we talk about the shrinkage estimate for population covariance matrices with high-dimensional dimen......
In this study,we extend rotation forest to high dimensional censored time-to-event data analysis by combing random subsp......
We study the estimation of high dimensional minimum variance portfolio(MVP).Two settings are considered: the low frequen......
Local dependence is common in multivariate and object data sequences.We consider the testing and estimation of change-po......
For clinical genomic studies with high-dimensional datasets,tree-based ensemble methods offer a powerful solution for va......
Ordinary differential equations(ODEs)are widely used to model the dynamic behavior of a complex system.Parameter estimat......
为了建立更准确、高效的烟叶产地识别模型,提出了基于自适应遗传算法的修剪随机森林算法(AGARFP)。该算法根据种群的进化程度,适配......
