Estimation of the mean exponential survival time under a sequential censoring scheme [0.03%]
在顺序删失方案下平均指数生存时间的估计
Jun Hu,Hon Yiu So,Yan Zhuang
Jun Hu
The exponential distribution can provide a simple and appealing survival-time model in reliability analysis and life tests. Due to certain experimental designs, time limitations, budgetary requirements, and other reasons, however, only cens...
Inference and diagnostics for censored linear regression model with skewed generalized t distribution [0.03%]
带有偏斜广义t分布的审查与诊断截断线性回归模型
Chengdi Lian,Yaohua Rong,Jinwen Liang et al.
Chengdi Lian et al.
In recent years, some interested data can be recorded only if the values fall within an interval range, and the responses are often subject to censoring. Attempting to perform effective statistical analysis with censored, especially heavy-t...
Diagnostics for categorical response models based on quantile residuals and distance measures [0.03%]
基于分位数残差和距离度量的类别响应模型诊断方法
Patrícia Peres Araripe,Idemauro Antonio Rodrigues de Lara,Gabriel Rodrigues Palma et al.
Patrícia Peres Araripe et al.
Polytomous categorical data are frequent in studies, that can be obtained with an individual or grouped structure. In both structures, the generalized logit model is commonly used to relate the covariates on the response variable. After fit...
A Bayesian high-dimensional mediation analysis for multilevel genome-wide epigenetic data [0.03%]
一种用于多水平全基因组表观遗传数据的贝叶斯高维中介分析方法
Xi Qiao,Duy Ngo,Bilinda Straight et al.
Xi Qiao et al.
Causal mediation analysis has increasingly become a popular practice in various clinical trials and epidemiological applications to evaluate whether an intermediate variable is on the pathway between the exposure of interest and a response....
Time of week intensity estimation from partly interval censored data with applications to police patrol planning [0.03%]
基于区间审查数据的周时间强度估计及其在警务巡逻规划中的应用
Jiahao Tian,Michael D Porter
Jiahao Tian
Law enforcement agencies are tasked with crime prevention and crime reduction under limited resources. Having an accurate temporal estimate of the crime rate would be valuable to achieve such a goal. However, estimation is usually complicat...
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection [0.03%]
低维差分半参数线性模型中的边际化LASSO变量选择方法研究
M Norouzirad,R Moura,M Arashi et al.
M Norouzirad et al.
The difference-based partially linear model is an appropriate regression model when both linear and nonlinear predictors are present in the data. However, when we want to optimize the weights using the difference-based method, the problem o...
Inference on exponentiated Rayleigh distribution with constant stress partially accelerated life tests under progressive type-II censoring [0.03%]
带有渐近II型删失的常应力部分加速寿命试验下的指数化Rayleigh分布推断
Huiying Yao,Wenhao Gui
Huiying Yao
This study aims to explore the issues of evaluating the parameters and the accelerating factor based on constant stress for partially accelerating life tests when the potential failure times have an exponentiated Rayleigh distribution. With...
Yifan Chen,Chunyin Lei,Chuanquan Li et al.
Yifan Chen et al.
Biclustering is widely used in different kinds of fields including gene information analysis, text mining, and recommendation system by effectively discovering the local correlation between samples and features. However, many biclustering a...
Marcílio Ramos Pereira Cardial,Juliana Cobre,Eduardo Yoshio Nakano
Marcílio Ramos Pereira Cardial
The purpose of this paper is to present the development of the Proportional Odds Model for discrete time-to-event data in a survival analysis context. In this work, inferences about the model parameters considering the discrete Weibull as b...
Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity [0.03%]
基于科恩特雷普的稀疏PCA结合超图和融合相似性准确识别单细胞类型
Juan Wang,Tai-Ge Wang,Shasha Yuan et al.
Juan Wang et al.
The advent of single-cell RNA sequencing (scRNA-seq) technology enables researchers to gain deep insights into cellular heterogeneity. However, the high dimensionality and noise of scRNA-seq data pose significant challenges to clustering. T...