The Student-t regression model is a useful extension of the normal model,which can be used for statistical modeling of data sets involving errors with heavy tails and/or outliers and provides robust estimation of mean...The Student-t regression model is a useful extension of the normal model,which can be used for statistical modeling of data sets involving errors with heavy tails and/or outliers and provides robust estimation of means and regression coefficients.In this paper,the varying dispersion Student-t regression model is discussed,in which both the mean and the dispersion depend upon explanatory variables.The problem of interest is simultaneously select significant variables both in mean and dispersion model.A unified procedure which can simultaneously select significant variable is given.With appropriate selection of the tuning parameters,the consistency and the oracle property of the regularized estimators are established.Both the simulation study and two real data examples are used to illustrate the proposed methodologies.展开更多
初中学生受青春期与升学压力影响,心理危机呈“隐匿性强、爆发性高”特征。传统筛查方式如心理健康测验(Mental Health Test,MHT)问卷易受社会赞许性干扰,而经典房树人(House-Tree-Person,H-T-P)测验又过度依赖专家主观解读。文章开发...初中学生受青春期与升学压力影响,心理危机呈“隐匿性强、爆发性高”特征。传统筛查方式如心理健康测验(Mental Health Test,MHT)问卷易受社会赞许性干扰,而经典房树人(House-Tree-Person,H-T-P)测验又过度依赖专家主观解读。文章开发了基于多模态大语言模型(Large Multimodal Language Models,LMMLs)的筛查系统,有效整合了H-T-P绘画与人口学特征。实践验证显示,该系统可提升H-T-P作为心理筛查的实效性,助力基层学校做好心理防护工作。展开更多
A distributed bearing-only target tracking algorithm based on variational Bayesian inference(VBI)under random measurement anomalies is proposed for the problem of adverse effect of random measurement anomalies on the ...A distributed bearing-only target tracking algorithm based on variational Bayesian inference(VBI)under random measurement anomalies is proposed for the problem of adverse effect of random measurement anomalies on the state estimation accuracy of moving targets in bearing-only tracking scenarios.Firstly,the measurement information of each sensor is complemented by using triangulation under the distributed framework.Secondly,the Student-t distribution is selected to model the measurement likelihood probability density function,and the joint posteriori probability density function of the estimated variables is approximately decoupled by VBI.Finally,the estimation results of each local filter are sent to the fusion center and fed back to each local filter.The simulation results show that the proposed distributed bearing-only target tracking algorithm based on VBI in the presence of abnormal measurement noise comprehensively considers the influence of system nonlinearity and random anomaly of measurement noise,and has higher estimation accuracy and robustness than other existing algorithms in the above scenarios.展开更多
基金supported in part by the National Natural Science Foundation of China under Grant Nos.11171112,11101114,11201190the National Statistical Science Research Major Program of China under Grant No.2011LZ051+4 种基金the 111 Project of China under Grant No.B14019the Doctoral Fund of Ministry of Education of China under Grant No.20130076110004the Natural Science Project of Jiangsu Province Education Department under Grant No.13KJB110024the Natural Science Fund of Nantong University under Grant No.13ZY001the Research Project of Social Science and Humanity Fund of the Ministry of Education under Grant No.14YJC910007
文摘The Student-t regression model is a useful extension of the normal model,which can be used for statistical modeling of data sets involving errors with heavy tails and/or outliers and provides robust estimation of means and regression coefficients.In this paper,the varying dispersion Student-t regression model is discussed,in which both the mean and the dispersion depend upon explanatory variables.The problem of interest is simultaneously select significant variables both in mean and dispersion model.A unified procedure which can simultaneously select significant variable is given.With appropriate selection of the tuning parameters,the consistency and the oracle property of the regularized estimators are established.Both the simulation study and two real data examples are used to illustrate the proposed methodologies.
文摘初中学生受青春期与升学压力影响,心理危机呈“隐匿性强、爆发性高”特征。传统筛查方式如心理健康测验(Mental Health Test,MHT)问卷易受社会赞许性干扰,而经典房树人(House-Tree-Person,H-T-P)测验又过度依赖专家主观解读。文章开发了基于多模态大语言模型(Large Multimodal Language Models,LMMLs)的筛查系统,有效整合了H-T-P绘画与人口学特征。实践验证显示,该系统可提升H-T-P作为心理筛查的实效性,助力基层学校做好心理防护工作。
基金Supported by the Science and Technology Key Project of Science and Technology Department of Henan Province(No.252102211041)the Key Research and Development Projects of Henan Province(No.231111212500).
文摘A distributed bearing-only target tracking algorithm based on variational Bayesian inference(VBI)under random measurement anomalies is proposed for the problem of adverse effect of random measurement anomalies on the state estimation accuracy of moving targets in bearing-only tracking scenarios.Firstly,the measurement information of each sensor is complemented by using triangulation under the distributed framework.Secondly,the Student-t distribution is selected to model the measurement likelihood probability density function,and the joint posteriori probability density function of the estimated variables is approximately decoupled by VBI.Finally,the estimation results of each local filter are sent to the fusion center and fed back to each local filter.The simulation results show that the proposed distributed bearing-only target tracking algorithm based on VBI in the presence of abnormal measurement noise comprehensively considers the influence of system nonlinearity and random anomaly of measurement noise,and has higher estimation accuracy and robustness than other existing algorithms in the above scenarios.
