放牧
发表于 2025-3-28 16:01:07
http://reply.papertrans.cn/19/1858/185756/185756_41.png
Original
发表于 2025-3-28 21:32:41
Nonparametric Testing for Heterogeneous Correlationr a subpopulation. Two different testing procedures are compared. Both are based on the rankings of the values of two variables from a data set with a large number . of observations. The first maintains its level against Gaussian copulas; the second adapts to general alternatives in the sense that t
褪色
发表于 2025-3-29 01:01:53
Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Linear Modelstion in the presence of linear predictors. We formulate two heteroscedastic hierarchical regression models and study optimal shrinkage estimators in each model. A class of shrinkage estimators, both parametric and semiparametric, based on unbiased risk estimate (URE) is proposed and is shown to be (
裂隙
发表于 2025-3-29 03:05:07
http://reply.papertrans.cn/19/1858/185756/185756_44.png
lactic
发表于 2025-3-29 10:05:15
High-Dimensional Classification for Brain Decodingctivity. In this setting the cognitive state is typically characterized by an element of a finite set, and the neuroimaging data comprise voluminous amounts of spatiotemporal data measuring some aspect of the neural signal. The associated statistical problem is one of the classifications from high-d
委派
发表于 2025-3-29 11:41:21
http://reply.papertrans.cn/19/1858/185756/185756_46.png
Unsaturated-Fat
发表于 2025-3-29 17:44:50
Book 2017 high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for f
不安
发表于 2025-3-29 22:38:53
http://reply.papertrans.cn/19/1858/185756/185756_48.png
hypotension
发表于 2025-3-30 00:51:54
http://reply.papertrans.cn/19/1858/185756/185756_49.png
Free-Radical
发表于 2025-3-30 06:05:01
How Different Are Estimated Genetic Networks of Cancer Subtypes?a simple permutation test for comparing estimated networks. The results provide new insight into properties of estimated networks using different reconstruction methods, as well as differences in estimated networks in different biological conditions.