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Journal of Data Science创刊于2003年。创刊主编为台湾中研院赵民德博士和台湾辅仁大学谢邦昌博士。本刊历年来发表的研究成果涉及领域广泛，始终致力于推动数据科学方法在各领域的应用。从2019年起，主办权由中国人民大学统计学院和教育部人文社科重点研究基地应用统计科学研究中心承担。为进一步提高学术期刊办刊水平，涵养学术品牌，作为中国人民大学于2019年启动“学术期刊质量提升计划（2...
Journal of Data Science创刊于2003年。创刊主编为台湾中研院赵民德博士和台湾辅仁大学谢邦昌博士。本刊历年来发表的研究成果涉及领域广泛，始终致力于推动数据科学方法在各领域的应用。从2019年起，主办权由中国人民大学统计学院和教育部人文社科重点研究基地应用统计科学研究中心承担。为进一步提高学术期刊办刊水平，涵养学术品牌，作为中国人民大学于2019年启动“学术期刊质量提升计划（2...
Journal of Data Science第21卷第3期已正式上线。Journal of Data Science创刊于2003年。创刊主编为台湾中研院赵民德博士和台湾辅仁大学谢邦昌博士。本刊历年来发表的研究成果涉及领域广泛，始终致力于推动数据科学方法在各领域的应用。从2019年起，主办权由中国人民大学统计学院和教育部人文社科重点研究基地应用统计科学研究中心承担。为进一步提高学术期刊办刊水平，...
中国人民大学统计学院吕晓玲教授、王菲菲副教授就联合文本主题建模问题在《Data Mining and Knowledge Discovery》发表论文（图）
吕晓玲 王菲菲 建模 文本
2024/11/26
中国人民大学统计学院吕晓玲教授、王菲菲副教授在《Data Mining and Knowledge Discovery》发表论文。该研究主要探讨了两种带有联动作用的文本主题建模问题。研究中提出了一种全新的Joint Dynamic Topic Model(JDTM)模型，该模型在传统的动态主题模型的基础上，通过建立两种文本在时间上的前后关联性，可以挖掘两类文本的“超前-滞后”作用（lead-lag...
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing
2016/1/26
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
QML estimation of spatial dynamic panel data models with time varying spatial weights matrices
Spatial autoregression Dynamic panels Time varying spatial weights matrix Fixed ef- fects Maximum likelihood
2016/1/19
This paper investigates the quasi-maximum likelihood estimation of spatial dynamic panel data mod-els where spatial weights matrices can be time varying. We …nd that QML estimate is consistent and asy...
Evolution of the CMB Power Spectrum Across WMAP Data Releases: A Nonparametric Analysis
Cosmic microwave background (CMB) angular power spectrum
2011/7/19
We present a comparative analysis of the WMAP 1-, 3-, 5-, and 7-year data releases for the CMB angular power spectrum, with respect to the following three key questions: (a) How well is the angular po...
Homogeneity and change-point detection tests for multivariate data using rank statistics
Homogeneity change-point detection tests multivariate data
2011/7/19
Detecting and locating changes in highly multivariate data is a major concern in several current statistical applications. In this context, the first contribution of the paper is a novel non-parametri...
Revealing spatial variability structures of geostatistical functional data via Dynamic Clustering
functional data clustering geostatistics variogram
2011/7/6
In several environmental applications data are functions of time, essentially con- tinuous, observed and recorded discretely, and spatially correlated. Most of the methods for analyzing such data are ...
Nonparametric Regression Estimation with Incomplete Data: Minimax Global Convergence Rates and Adaptivity
Adaptivity Besov spaces inhomogeneous data minimax estimation
2011/7/6
We consider the nonparametric regression estimation problem of recovering an unknown response function $f$ on the basis of incomplete data when the design points follow a known density $g$ with a fini...
HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data
AIDS antiviral treatment interval censoring semiparametric regression
2011/6/16
Hepatitis C virus (HCV) coinfection has become one of the most
challenging clinical situations to manage in HIV-infected patients.
Recently the effect of HCV coinfection on HIV dynamics following
i...
Missing Data Imputation and Corrected Statistics for Large-Scale Behavioral Databases
missing data imputation statistics corrected for missing data item performance behavioral databases model goodness of fit
2011/3/23
This paper presents a new methodology to solve problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, an...