Jin Yang,Heng Lian,Wenyang Zhang
Jin Yang
High dimensional covariance matrices have attracted much attention of statisticians and econometricians during the past decades. Vast literature is devoted to the research in high dimensional covariance matrices. However, most of them are f...
Wenjun Xiong,Juan Ding,Wei Zhang et al.
Wenjun Xiong et al.
We investigated the false-negative, true-negative, false-positive, and true-positive predictive values from a general group testing procedure for a heterogeneous population. We show that its false (true)-negative predictive value of a speci...
Xuan Zhou,Yuanjia Wang,Donglin Zeng
Xuan Zhou
In this paper, we propose a new algorithm to extend support vector machine (SVM) for binary classification to multicategory classification. The proposed method is based on a sequential binary classification algorithm: we first classify a ta...
Effects of Nonmonotonic Functional Responses on a Disease Transmission Model: Modeling and Simulation [0.03%]
非单调功能反应对疾病传播模型的影响：建模与仿真
Abhishek Kumar,Nilam
Abhishek Kumar
In this article, a novel susceptible-infected-recovered epidemic model with nonmonotonic incidence and treatment rates is proposed and analyzed mathematically. The Monod-Haldane functional response is considered for nonmonotonic behavior of...
Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields [0.03%]
一类高斯随机字段非线性泛函的尖锐收敛性
Weijun Xu
Weijun Xu
We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric functions of a class of Gaussian random fields. It corresponds to a special case of the general situation considered in Hairer and Xu (large-s...
Edgar Dobriban,Jianqing Fan
Edgar Dobriban
Statistical and machine learning theory has developed several conditions ensuring that popular estimators such as the Lasso or the Dantzig selector perform well in high-dimensional sparse regression, including the restricted eigenvalue, com...