Semiparametric regression of panel count data with informative terminal event [0.03%]
具有末事件信息的横断面计数数据的半参数回归模型研究
Xiangbin Hu,L I Liu,Ying Zhang et al.
Xiangbin Hu et al.
We study a semiparametric model for robust analysis of panel count data with an informative terminal event. To explore the explicit effect of the terminal event on recurrent events of interest, we propose a conditional mean model for a reve...
L I Liu,Wen Su,Guosheng Yin et al.
L I Liu et al.
Panel count data typically refer to data arising from studies with recurrent events, in which subjects are observed only at discrete time points rather than under continuous observations. We investigate a general situation where a recurrent...
Universal sieve-based strategies for efficient estimation using machine learning tools [0.03%]
使用机器学习工具进行有效估计的通用筛选策略
Hongxiang Qiu,Alex Luedtke,Marco Carone
Hongxiang Qiu
Suppose that we wish to estimate a finite-dimensional summary of one or more function-valued features of an underlying data-generating mechanism under a nonparametric model. One approach to estimation is by plugging in flexible estimates of...
Yabo Niu,Debdeep Pati,Bani K Mallick
Yabo Niu
Gaussian graphical models are a popular tool to learn the dependence structure in the form of a graph among variables of interest. Bayesian methods have gained in popularity in the last two decades due to their ability to simultaneously lea...
Expected Number and Height Distribution of Critical Points of Smooth Isotropic Gaussian Random Fields [0.03%]
各向同性的光滑高斯随机场的临界点个数与高度分布的期望数值分析
Dan Cheng,Armin Schwartzman
Dan Cheng
We obtain formulae for the expected number and height distribution of critical points of smooth isotropic Gaussian random fields parameterized on Euclidean space or spheres of arbitrary dimension. The results hold in general in the sense th...
Ian W McKeague,Erol A Peköz,Yvik Swan
Ian W McKeague
Hall et al. (2014) recently proposed that quantum theory can be understood as the continuum limit of a deterministic theory in which there is a large, but finite, number of classical "worlds." A resulting Gaussian limit theorem for particle...
Evan Greene,Jon A Wellner
Evan Greene
We establish exponential bounds for the hypergeometric distribution which include a finite sampling correction factor, but are otherwise analogous to bounds for the binomial distribution due to León and Perron (Statist. Probab. Lett.62 (20...
Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution [0.03%]
转椭圆分布下潜在广义相关矩阵的估计的统计分析
Fang Han,Han Liu
Fang Han
Correlation matrix plays a key role in many multivariate methods (e.g., graphical model estimation and factor analysis). The current state-of-the-art in estimating large correlation matrices focuses on the use of Pearson's sample correlatio...
Peter D Hoff,Xiaoyue Niu,Jon A Wellner
Peter D Hoff
Often of primary interest in the analysis of multivariate data are the copula parameters describing the dependence among the variables, rather than the univariate marginal distributions. Since the ranks of a multivariate dataset are invaria...
Asymptotics of nonparametric L-1 regression models with dependent data [0.03%]
相依数据非参数L_1回归模型的渐近性质研究
Zhibiao Zhao,Ying Wei,Dennis K J Lin
Zhibiao Zhao
We investigate asymptotic properties of least-absolute-deviation or median quantile estimates of the location and scale functions in nonparametric regression models with dependent data from multiple subjects. Under a general dependence stru...