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北京大学汇丰商学院创办于2004年，是集教学、研究和社会服务于一体的学院，由时任北京大学副校长海闻教授担任创院院长。2008年8月30日，汇丰银行捐赠1.5亿人民币支持北京大学建设世界一流商学院，学院正式冠名为“北京大学汇丰商学院”。并于同年的10月22日举行揭牌仪式。
国家统计局召开全国统计法治工作视频会议（图）
国家统计局 全国统计法治工作 统计监督职能
2022/5/24
2022年3月29日，全国统计法治工作视频会议在京召开。会议以习近平新时代中国特色社会主义思想为指导，深入学习贯彻习近平法治思想和习近平总书记关于统计工作重要讲话指示批示精神，全面总结近年来统计法治工作取得的成绩，研究当前依法统计依法治统面临的新形势新任务，部署2022年统计法治重点工作。国家统计局党组书记、局长康义出席会议并讲话，强调要以习近平法治思想为指引，深入推进依法统计依法治统，推动新时代...
2021年12月23日，国家统计局党组召开扩大会议，传达学习习近平总书记在中央政治局第三十五次集体学习时的重要讲话和在中央全面深化改革委员会第二十三次会议上的重要讲话精神。国家发展改革委副主任兼国家统计局局长、党组书记宁吉喆主持会议并讲话，强调统计部门要深入学习贯彻习近平新时代中国特色社会主义思想，坚持依法统计依法治统，加强统计监测分析服务，为推动高质量发展提供坚实统计支撑。国家统计局党组成员、副...
近日，中国人文社会科学评价研究中心发布了《中国哲学社会科学最有影响力学者排行榜研究报告：基于中文学术成果的评价（2020版）》及各学科最有影响力学者排行榜。我校问清泓、潘开灵、曹诗图三位教授成为管理学的上榜学者。中国哲学社会科学最有影响力学者排行榜数据主要来源于中国引文数据库（CNKI）、超星发现等数据，共采集了管理学、马克思主义等20个一级学科、科学研究管理等81个二级学科、5个交叉学科排行榜。
日前，上海软科发布了2018“软科世界一流学科排名”。华南理工大学22个学科进入世界一流学科榜单，其中，4个学科入围前50强，12个学科入围前100强，入围世界百强学科数在国内高校中并列第11名。与2017年相比，学校上榜学科数量由19个增至22个，新增了控制科学与工程、生物学、管理学3个学科上榜；排名前50名的学科增加1个，为生物工程；排名前100的学科增加3个，为仪器科学、材料科学与工程、通信...
Quantile correlations and quantile autoregressive modeling
Autocorrelation function Box-Jenkins method Quantile correlation Quantile partial correlation Quantile autoregressive model
2012/11/23
In this paper, we propose two important measures, quantile correlation (QCOR) and quantile partial correlation (QPCOR). We then apply them to quantile autoregressive (QAR) models, and introduce two va...
Clustering and Classification via Cluster-Weighted Factor Analyzers
Cluster-weighted models factor analysis mixturemodels parsimonious models
2012/11/23
In model-based clustering and classification, the cluster-weighted model constitutes a convenient approach when the random vector of interest constitutes a response variable Y and a set p of explanato...
Dependence Structure of Spatial Extremes Using Threshold Approach
Dependence Structure Spatial Extremes Threshold Approach
2012/11/23
The analysis of spatial extremes requires the joint modeling of a spatial process at a large number of stations and max-stable processes have been developed as a class of stochastic processes suitable...
Diagnostics for Respondent-driven Sampling
diagnostics exploratory data analysis hard-to-reachpopulations HIV/AIDS link-tracingsampling non-ignorable design,respondent-driven sampling social networks survey sampling
2012/11/23
Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially groups most at-risk for HIV/AIDS. Data are collected through a peer-referral proc...
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
Inserting Vortices Markov Chain Monte-Carlo Asymptotic Performance
2012/11/23
We present a new way of converting a reversible finite Markov chain into a non-reversible one, with a theoretical guarantee that the asymptotic variance of the MCMC estimator based on the non-reversib...
Efficient Estimation of Approximate Factor Models via Regularized Maximum Likelihood
High dimensionality unknown factors principal components sparse matrix conditional sparse thresholding cross-sectional correlation penalized maximum likelihood adaptive lasso heteroskedasticity
2012/11/23
We study the estimation of a high dimensional approximate factor model in the presence of both cross sectional dependence and heteroskedasticity. The classical method of principal components analysis ...
Correlated variables in regression: clustering and sparse estimation
Canonical correlation group Lasso Hierarchical clustering High-dimensional inference Lasso Oracle inequality Variable screening Variable selection
2012/11/23
We consider estimation in a high-dimensional linear model with strongly correlated variables. We propose to cluster the variables first and do subsequent sparse estimation such as the Lasso for cluste...
Monitoring procedure for parameter change in causal time series
Sequential change detection Change-point Causal processes Quasi-maximum likelihood estimator Weak convergence.
2012/11/22
We propose a new sequential procedure to detect change in the parameters of a process $ X= (X_t)_{t\in \Z}$ belonging to a large class of causal models (such as AR($\infty$), ARCH($\infty$), TARCH($\i...
A comparative study of new cross-validated bandwidth selectors for kernel density estimation
kernel density estimation data-adaptive bandwidth selection indirect cross-validation do-validation.
2012/11/22
Recent contributions to kernel smoothing show that the performance of cross-validated bandwidth selectors improve significantly from indirectness. Indirect crossvalidation first estimates the classica...
MMCTest - A Safe Algorithm for Implementing Multiple Monte Carlo Tests
Bootstrap/resampling Computationally Intensive Methods Multiple Comparisons False Discovery Rate Sequential Algorithm
2012/11/22
We are interested in testing multiple hypotheses using tests that can only be evaluated by simulation such as permutation tests or bootstrap tests. This article introduces a sequential algorithm which...