A robust Bayesian latent position approach for community detection in networks with continuous attributes [0.03%]
具有连续属性的网络社区检测的稳健贝叶斯潜在位置方法
Zhumengmeng Jin,Juan Sosa,Shangchen Song et al.
Zhumengmeng Jin et al.
The increasing prevalence of multiplex networks has spurred a critical need to take into account potential dependencies across different layers, especially when the goal is community detection, which is a fundamental learning task in networ...
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach [0.03%]
基于贝叶斯纵向多项逻辑回归的延迟 pecan 树发芽时间的方法研究
Dayna P Saldaña Zepeda,Richard Heerema,Ciro Velasco Cruz et al.
Dayna P Saldaña Zepeda et al.
A multivariate Bayesian Probit model is adapted to analyze a longitudinal multiclass-ordinal response, with a linear plateau as the longitudinal model. Measurements on pecan bud growth were collected on irregular time intervals, about a wee...
Change-point detection of the Kumaraswamy skew-t distribution based on modified information criterion [0.03%]
基于改进的信息准则的Kumaraswamy偏t分布变点检测
Jun Wang,Wei Ning
Jun Wang
In this paper, we study the change-point problem of the Kumaraswamy skew-t distribution. An approach based on the modified information criterion is proposed to detect the changes of the parameters of this distribution. Simulations have been...
Omar Hajjaji,Solym Mawaki Manou-Abi,Yousri Slaoui
Omar Hajjaji
In this paper, we consider estimating the parameters of univariate α-stable distributions and their mixtures. First, using a Gaussian kernel density distribution estimator, we propose an estimation method based on the characteristic functi...
Tests of covariate effects under finite Gaussian mixture regression models [0.03%]
有限高斯混合回归模型的检验 limburg_regression_model
Chong Gan,Jiahua Chen,Zeny Feng
Chong Gan
Mixture of regression model is widely used to cluster subjects from a suspected heterogeneous population due to differential relationships between response and covariates over unobserved subpopulations. In such applications, statistical evi...
Debasis Kundu
Debasis Kundu
The motivation of this work came from a data set obtained from an experiment performed on diabetic patients, with diabetic retinopathy disorder. The aim of this experiment is to test whether there is any significant difference between two d...
An optimal subsampling design for large-scale Cox model with censored data [0.03%]
大型删失数据Cox模型的最优抽样设计方法研究
Shiqi Liu,Zilong Xie,Ming Zheng et al.
Shiqi Liu et al.
Subsampling designs are useful for reducing computational load and storage cost for large-scale data analysis. For massive survival data with right censoring, we propose a class of optimal subsampling designs under the widely-used Cox model...
Efficient non-parametric estimation of variable productivity Hawkes processes [0.03%]
有效估计变量生产力霍克斯过程的非参数方法
Sophie Phillips,Frederic Schoenberg
Sophie Phillips
Several approaches to estimating the productivity function for a Hawkes point process with variable productivity are discussed, improved upon, and compared in terms of their root-mean-squared error and computational efficiency for various d...
Semiparametric regression analysis of panel binary data with a dependent failure time [0.03%]
具有依赖失效时间的面板二值数据的半参数回归分析
Lei Ge,Yang Li,Jianguo Sun
Lei Ge
In health and clinical research, panel binary data from recurrent events arise when subjects are surveyed to report occurrence statuses of recurrent events over fixed observation windows. In practice, such data can be cut short by a depende...
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance [0.03%]
一种估计公共政策因果效应的自助法，考虑重叠和不完美遵从性
Stefano Cabras
Stefano Cabras
This paper introduces a nonparametric bootstrap method for estimating the causal effects of public policy under the circumstances of imperfect compliance and overlap. It focuses on business investment subsidies in Sardinia by comparing firm...