ELASTIC NET FOR COX'S PROPORTIONAL HAZARDS MODEL WITH A SOLUTION PATH ALGORITHM [0.03%]
具有解路径算法的Cox比例风险模型的弹性网
Yichao Wu
Yichao Wu
For least squares regression, Efron et al. (2004) proposed an efficient solution path algorithm, the least angle regression (LAR). They showed that a slight modification of the LAR leads to the whole LASSO solution path. Both the LAR and LA...
MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS [0.03%]
基于矩的线性混合效应模型中随机效应选择方法研究
Mihye Ahn,Hao Helen Zhang,Wenbin Lu
Mihye Ahn
The selection of random effects in linear mixed models is an important yet challenging problem in practice. We propose a robust and unified framework for automatically selecting random effects and estimating covariance components in linear ...
Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing Data [0.03%]
用于忽略缺失数据的双重稳健非参多重插补法
Qi Long,Chiu-Hsieh Hsu,Yisheng Li
Qi Long
Missing data are common in medical and social science studies and often pose a serious challenge in data analysis. Multiple imputation methods are popular and natural tools for handling missing data, replacing each missing value with a set ...
HOW WELL DO SELECTION MODELS PERFORM? ASSESSING THE ACURACY OF ART AUCTION PRE-SALE ESTIMATES [0.03%]
筛选模型的预测精度如何——以艺术拍卖预估价为例
Binbing Yu,Joseph L Gastwirth
Binbing Yu
Art auction catalogs provide a pre-sale prediction interval for the price each item is expected to fetch. When the owner consigns art work to the auction house, a reserve price is agreed upon, which is not announced to the bidders. If the h...
A Two-Stage Estimation Method for Random Coefficient Differential Equation Models with Application to Longitudinal HIV Dynamic Data [0.03%]
长期艾滋病毒动态数据的随机系数微分方程模型的一种两阶段估计方法研究
Yun Fang,Hulin Wu,Li-Xing Zhu
Yun Fang
We propose a two-stage estimation method for random coefficient ordinary differential equation (ODE) models. A maximum pseudo-likelihood estimator (MPLE) is derived based on a mixed-effects modeling approach and its asymptotic properties fo...
ASYMPTOTIC PROPERTIES OF SUFFICIENT DIMENSION REDUCTION WITH A DIVERGING NUMBER OF PREDICTORS [0.03%]
预测变量发散时足够的维度约简的渐近性质
Yichao Wu,Lexin Li
Yichao Wu
We investigate asymptotic properties of a family of sufficient dimension reduction estimators when the number of predictors p diverges to infinity with the sample size. We adopt a general formulation of dimension reduction estimation throug...
CONTINUOUS-TIME FILTERS FOR STATE ESTIMATION FROM POINT PROCESS MODELS OF NEURAL DATA [0.03%]
基于神经数据点过程模型的状态估计连续时间滤波器
Uri T Eden,Emery N Brown
Uri T Eden
Neural spike trains, the primary communication signals in the brain, can be accurately modeled as point processes. For many years, significant theoretical work has been done on the construction of exact and approximate filters for state est...
Convergence of the Equi-Energy Sampler and Its Application to the Ising Model [0.03%]
等能量采样的收敛性及其在伊辛模型中的应用
Xia Hua,S C Kou
Xia Hua
We provide a complete proof of the convergence of a recently developed sampling algorithm called the equi-energy (EE) sampler (Kou, Zhou, and Wong, 2006) in the case that the state space is countable. We show that in a countable state space...
SEMIPARAMETRIC ADDITIVE RISKS REGRESSION FOR TWO-STAGE DESIGN SURVIVAL STUDIES [0.03%]
两阶段设计生存研究的半参数加性风险回归分析
Gang Li,Tong Tong Wu
Gang Li
In this article we study a semiparametric additive risks model (McKeague and Sasieni (1994)) for two-stage design survival data where accurate information is available only on second stage subjects, a subset of the first stage study. We der...
Estimation and Variable Selection for Semiparametric Additive Partial Linear Models (SS-09-140) [0.03%]
半参数可加部分线性模型的估计及变量选取(SS-09-140)
Xiang Liu,Li Wang,Hua Liang
Xiang Liu
Semiparametric additive partial linear models, containing both linear and nonlinear additive components, are more flexible compared to linear models, and they are more efficient compared to general nonparametric regression models because th...