Behavior of the Gibbs Sampler When Conditional Distributions Are Potentially Incompatible [0.03%]
当条件分布在潜在上不兼容时Gibbs sampler的行为表现
Shyh-Huei Chen,Edward H Ip
Shyh-Huei Chen
The Gibbs sampler has been used extensively in the statistics literature. It relies on iteratively sampling from a set of compatible conditional distributions and the sampler is known to converge to a unique invariant joint distribution. Ho...
Sensitivity to imputation models and assumptions in receiver operating characteristic analysis with incomplete data [0.03%]
不完全数据下ROC分析的插补模型和假设的敏感性研究
Jale Karakaya,Erdem Karabulut,Recai M Yucel
Jale Karakaya
Modern statistical methods using incomplete data have been increasingly applied in a wide variety of substantive problems. Similarly, receiver operating characteristic (ROC) analysis, a method used in evaluating diagnostic tests or biomarke...
J H Burton,J Volaufova
J H Burton
We investigate here small sample properties of approximate F-tests about fixed effects parameters in nonlinear mixed models. For estimation of population fixed effects parameters as well as variance components, we apply the two-stage approa...
Seonjoo Lee,Brian S Caffo,Balaji Lakshmanan et al.
Seonjoo Lee et al.
Independent component analysis (ICA) is a popular blind source separation technique used in many scientific disciplines. Current ICA approaches have focused on developing efficient algorithms under specific ICA models, such as instantaneous...
Model-Averaged [Formula: see text] Regularization using Markov Chain Monte Carlo Model Composition [0.03%]
基于马尔可夫链蒙特卡洛模型组成的模型平均[公式可见正文中]正则化
Chris Fraley,Daniel Percival
Chris Fraley
Bayesian Model Averaging (BMA) is an effective technique for addressing model uncertainty in variable selection problems. However, current BMA approaches have computational difficulty dealing with data in which there are many more measureme...
Relations among Three Parametric Multiple Testing Methods for Correlated Tests [0.03%]
相关检验的三种参数多重比较方法之间的关系
Changchun Xie
Changchun Xie
Multiple endpoints in clinical trials are usually correlated. To control the family-wise type I error rate, both Huque and Alosh's flexible fixed-sequence (FFS) testing method and Li and Mehrotra's adaptive alpha allocation approach (4A) ha...
Case-Control Genome-wide Joint Association Study Using Semiparametric Empirical Model and Approximate Bayes Factor [0.03%]
半参数经验模型和近似贝叶斯因子的案列对照全基因组联合关联分析方法研究
Jinfeng Xu,Gang Zheng,Ao Yuan
Jinfeng Xu
We propose a semiparametric approach for the analysis of case-control genome-wide association study. Parametric components are used to model both the conditional distribution of the case status given the covariates and the distribution of g...
Thuan Nguyen,Jie Peng,Jiming Jiang
Thuan Nguyen
Model search strategies play an important role in finding simultaneous susceptibility genes that are associated with a trait. More particularly, model selection via the information criteria, such as the BIC with modifications, have received...
Adaptive Fitting of Linear Mixed-Effects Models with Correlated Random-effects [0.03%]
自适应拟合相关随机效应的线性混合效应模型
Guangxiang Zhang,John J Chen
Guangxiang Zhang
Linear mixed-effects model has been widely used in longitudinal data analyses. In practice, the fitting algorithm can fail to converge due to boundary issues of the estimated random-effects covariance matrix G, i.e., being near-singular, no...
Principal Differential Analysis with a Continuous Covariate: Low Dimensional Approximations for Functional Data [0.03%]
具有连续协变量的主要差分分析：功能数据的低维逼近
Seoweon Jin,Joan G Staniswalis,Indika Mallawaarachchi
Seoweon Jin
Given a collection of n curves that are independent realizations of a functional variable, we are interested in finding patterns in the curve data by exploring low dimensional approximations to the curves. It is assumed that the data curves...