A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting [0.03%]
狄利克雷过程混合模型曲线拟合的预测研究
Sara Wade,Stephen G Walker,Sonia Petrone
Sara Wade
This paper examines the use of Dirichlet process (DP) mixtures for curve fitting. An important modelling aspect in this setting is the choice between constant or covariate-dependent weights. By examining the problem of curve fitting from a ...
Simon Byrne,Mark Girolami
Simon Byrne
Markov chain Monte Carlo methods explicitly defined on the manifold of probability distributions have recently been established. These methods are constructed from diffusions across the manifold and the solution of the equations describing ...
Controlled direct and mediated effects: definition, identification and bounds [0.03%]
控制的直接和间接效应：定义、识别及界线问题
Tyler J VanderWeele
Tyler J VanderWeele
Results are given which provide bounds for controlled direct effects when the no-unmeasured-confounding assumptions required for the identification of these effects do not hold. Previous results concerning bounds for controlled direct effec...
Mário DE Castro,Ming-Hui Chen,Joseph G Ibrahim et al.
Mário DE Castro et al.
In this paper we propose a general class of gamma frailty transformation models for multivariate survival data. The transformation class includes the commonly used proportional hazards and proportional odds models. The proposed class also i...
Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization [0.03%]
基于复合惩罚的癌症诊断研究集成分析方法
Jin Liu,Jian Huang,Shuangge Ma
Jin Liu
In cancer diagnosis studies, high-throughput gene profiling has been extensively conducted, searching for genes whose expressions may serve as markers. Data generated from such studies have the "large d, small n" feature, with the number of...
Rubbery Polya Tree [0.03%]
柔性的Polya树
Luis E Nieto-Barajas,Peter Müller
Luis E Nieto-Barajas
Polya trees (PT) are random probability measures which can assign probability 1 to the set of continuous distributions for certain specifications of the hyperparameters. This feature distinguishes the PT from the popular Dirichlet process (...
Yijian Huang
Yijian Huang
Weighted log-rank estimating function has become a standard estimation method for the censored linear regression model, or the accelerated failure time model. Well established statistically, the estimator defined as a consistent root has, h...
Chin-Tsang Chiang,Mei-Cheng Wang,Chiung-Yu Huang
Chin-Tsang Chiang
Recurrent event data are largely characterized by the rate function but smoothing techniques for estimating the rate function have never been rigorously developed or studied in statistical literature. This paper considers the moment and lea...
Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions [0.03%]
利用弱识别泛估计函数评估统计假设
Guanqun Cao,David Todem,Lijian Yang et al.
Guanqun Cao et al.
Many statistical models arising in applications contain non- and weakly-identified parameters. Due to identifiability concerns, tests concerning the parameters of interest may not be able to use conventional theories and it may not be clear...
Abdollah Jalilian,Yongtao Guan,Rasmus Waagepetersen
Abdollah Jalilian
Spatial Cox point processes is a natural framework for quantifying the various sources of variation governing the spatial distribution of rain forest trees. We introduce a general criterion for variance decomposition for spatial Cox process...