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中国人民大学统计学院李扬教授等在国际政府统计期刊《Journal of Official Statistics》发表论文,就大规模调查中的问卷分割设计技术以及数据建模分析方法展开研究。在信息时代,大规模调查被广泛应用于社会学研究、政府统计、经济决策和市场调研等诸多领域。然而,问卷长度的增加导致受访者负担加重、拒访率增加,从而引起调查工作执行难度加大、调查成本升高以及数据质量下滑等问题。本研究提出一...
中国人民大学统计学院李扬教授及学生杨昊宇、俞昊辰就缺失数据变量选择问题在《Annals of Applied Statistics》发表论文(图))
李扬 数据分析 实验设计方法
2024/11/26
目前,针对广义线性模型下的缺失数据变量选择问题仍面临诸多挑战。本文通过广义估计方程将多重插补数据集间的相关性纳入至带有惩罚的变量选择模型,提出了基于多重插补数据的变量选择方法(PEE-MI)。本文证明了该方法具备变量选择的一致性和有效性,数值模拟和实证分析显示出该方法相较于已有方法具有优良的表现。
第11届国际统计学年会(11th Annual International Conference on Statistics:Teaching,Theory&Applications)
第11届 国际统计学 年会
2017/3/9
The The Mathematics & Statistics Research Unit and Education Research Unit of the Athens Institute for Education and Research (ATINER), will hold its 11th ...
The UNESCO Institute for Statistics (UIS) is the statistical branch of the United Nations Educational, Scientific and Cultural Organisation (UNESCO). The Institute produces the data and methodologies ...
The source of statistics:New frontiers in survey methodology
source of statistics New frontiers survey methodology
2015/11/12
The United Nations Statistical Commission celebrates the fifth annual World Statistics Day today. Over 60 countries have joined together to coordinate activities based on the theme of "Bette...
Estimating Tail Probabilities in Queues via Extremal Statistics
Extreme values queues regenerative processes rare events estimation asymptotics
2015/7/8
We study the estimation of tail probabilities in a queue via a semi-parametric estimator based on the maximum value of the workload, observed over the sampled time interval. Logarithmic consistency an...
24th International Workshop on Matrices and Statistics
International Workshop Matrices Statistics
2014/11/5
On behalf of the International Organizing Committee and the Local Organizing Committee
we have much pleasure in extending a very cordial invitation to participate in this 24th
International Worksh...
The Japanese Society of Computational Statistics (JSCS) is a scientific and educational society founded in 1986 to broaden and extend excellence of computational statistics, which plays a significant ...
Professor HENRY W. BLOCK,Department of Statistics at University of Pittsburgh(图)
Professor HENRY W. BLOCK Department of Statistics at University of Pittsburgh Reliability theory Positive and negative dependence concepts used in multiple testing Distribution theory
2014/3/26
Professor LEON J. GLESER,Department of Statistics at University of Pittsburgh(图)
Professor LEON J. GLESER Department of Statistics at University of Pittsburgh Measurement and reporting of uncertainty
2014/3/26
Professor THOMAS H. SAVITS,Department of Statistics at University of Pittsburgh(图)
Professor THOMAS H. SAVITS Department of Statistics at University of Pittsburgh Reliability theory Applied probability theory Stochastic processes and dependence concepts
2014/3/26
A general approach to the joint asymptotic analysis of statistics from sub-samples
Empirical processes sub-sampling,self-normalization change point weak con-vergence Time series compact differentiability
2013/6/14
In time series analysis, statistics based on collections of estimators computed from sub-samples play a crucial role in an increasing variety of important applications. Proving results about the joint...
We prove an almost sure weak limit theorem for simple linear rank statistics for samples with continuous distributions functions. As a corollary the result extends to samples with ties, and the vector...
CLT for linear spectral statistics of random matrix $S^{-1}T$
CLT linear spectral statistics random matrix $S^{-1}T$
2013/6/13
This paper proposes a CLT for linear spectral statistics of random matrix $S^{-1}T$ for a general non-negative definite and {\bf non-random} Hermitian matrix $T$.
A Note on Central Limit Theorems for Linear Spectral Statistics of Large Dimensional F-matrix
Linear spectral statistics central limit theorem centralized sample covari-ance matrix centralizedF-matrix simplified sample covariance matrix simplified F-matrix
2013/6/13
Sample covariance matrix and multivariate $F$-matrix play important roles in multivariate statistical analysis. The central limit theorems {\sl (CLT)} of linear spectral statistics associated with the...