Runze Li,Mosuk Chow
Runze Li
Evaluation of reproducibility is important in assessing whether a new method or instrument can reproduce the results from a traditional gold standard approach. In this paper, we propose a measure to assess measurement agreement for function...
Hua Liang
Hua Liang
In this article we study a semiparametric generalized partially linear model when the covariates are missing at random. We propose combining local linear regression with the local quasilikelihood technique and weighted estimating equation (...
A comparative study of Gaussian geostatistical models and Gaussian Markov random field models1 [0.03%]
高斯地质统计模型与高斯马尔可夫随机领域模型的比较研究
Hae-Ryoung Song,Montserrat Fuentes,Sujit Ghosh
Hae-Ryoung Song
Gaussian geostatistical models (GGMs) and Gaussian Markov random fields (GM-RFs) are two distinct approaches commonly used in spatial models for modeling point referenced and areal data, respectively. In this paper, the relations between GG...
Maya L Petersen,Annette M Molinaro,Sandra E Sinisi et al.
Maya L Petersen et al.
Many applications aim to learn a high dimensional parameter of a data generating distribution based on a sample of independent and identically distributed observations. For example, the goal might be to estimate the conditional mean of an o...
Detecting Abrupt Changes in a Piecewise Locally Stationary Time Series [0.03%]
分段局部平稳时间序列中的突变点检测方法研究
Michael Last,Robert Shumway
Michael Last
Non-stationary time series arise in many settings, such as seismology, speech-processing, and finance. In many of these settings we are interested in points where a model of local stationarity is violated. We consider the problem of how to ...
Theory and Inference for Regression Models with Missing Responses and Covariates [0.03%]
具有缺失响应和协变量的回归模型的理论与推断
Qingxia Chen,Joseph G Ibrahim,Ming-Hui Chen et al.
Qingxia Chen et al.
In this paper, we carry out an in-depth theoretical investigation for inference with missing response and covariate data for general regression models. We assume that the missing data are Missing at Random (MAR) or Missing Completely at Ran...
Mai Zhou,Gang Li
Mai Zhou
The censored linear regression model, also referred to as the accelerated failure time (AFT) model when the logarithm of the survival time is used as the response variable, is widely seen as an alternative to the popular Cox model when the ...