Wenxing Guo

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Automatic detection of Mild Cognitive Impairment using high-dimensional acoustic features in spontaneous speech	2024	Cong Zhang Wenxing Guo Hongsheng Dai
+ PDF Chat	Envelope-based sparse reduced-rank regression for multivariate linear model	2023	Wenxing Guo N. Balakrishnan Mu He
+	Partial Envelope Tensor Response Regression	2023	Wenxing Guo N. Balakrishnan Shanshan Qin
+ PDF Chat	A modified partial envelope tensor response regression	2023	Wenxing Guo N. Balakrishnan Shanshan Qin
+ PDF Chat	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	2022	Lei Ding Dengdeng Yu Jinhan Xie Wenxing Guo Shenggang Hu Meichen Liu Linglong Kong Hongsheng Dai Yanchun Bao Bei Jiang
+ PDF Chat	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	2021	Lei Ding Dengdeng Yu Jinhan Xie Wenxing Guo Shenggang Hu Meichen Liu Linglong Kong Hongsheng Dai Yanchun Bao Bei Jiang
+	Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	2021	Lei Ding Dengdeng Yu Jinhan Xie Wenxing Guo Shenggang Hu Meichen Liu Linglong Kong Hongsheng Dai Yanchun Bao Bei Jiang
+	Generalized ridge and principal correlation estimator of the regression coefficient in growth curve model	2020	Wenxing Guo Shanshan Qin Zhiwen Zhao
+	The principal correlation components estimator and its optimality	2015	Wenxing Guo Xiaohui Liu Shangli Zhang

Common Coauthors

Coauthor	Papers Together
Hongsheng Dai	4
Shenggang Hu	3
Yanchun Bao	3
N. Balakrishnan	3
Dengdeng Yu	3
Linglong Kong	3
Jinhan Xie	3
Bei Jiang	2
Shanshan Qin	2
Meichen Liu	2
Lei Ding	2
Cong Zhang	1
Mu He	1
Shangli Zhang	1
Xiaohui Liu	1
Meichen Liu	1
Zhiwen Zhao	1
Lei Ding	1
Shanshan Qin	1
Bei Jiang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	1970	Arthur E. Hoerl Robert W. Kennard	2
+	A Note on the Use of Principal Components in Regression	1982	Ian T. Jolliffe	2
+	The “closest” estimates of statistical parameters	1937	E. J. G. Pitman	2
+	Some Cautionary Notes on the Use of Principal Components Regression	1998	Ali S. Hadi Robert F. Ling	2
+	Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions	1994	Arnold Zellner	1
+	Diagnosing collinearity-influential observations	1988	Ali S. Hadi	1
+	Statistical theory with engineering applications	1953	E. P. King	1
+	Smoothly Clipped Absolute Deviation on High Dimensions	2008	Yongdai Kim Hosik Choi Hee‐Seok Oh	1
+ PDF Chat	Analysis of Growth and Dose Response Curves	1969	James E. Grizzle David M. Allen	1
+	A Robust Version of Mallows's <i>C</i> <sub>P</sub>	1994	Elvezio Ronchetti Robert G. Staudte	1
+	Effects on the eigenstructure of a data matrix when deleting an observation	1991	Song-Gui Wang Hans Nyquist	1
+	Relationships Among Coefficients of Vectors Used In Principal Components	1973	J. Edward Jackson F. Terry Hearne	1
+ PDF Chat	Foundations for Envelope Models and Methods	2014	R. Dennis Cook Xin Zhang	1
+	Latent Root Regression Analysis	1974	J. T. Webster Richard F. Gunst Robert Mason	1
+	Instabilities of Regression Estimates Relating Air Pollution to Mortality	1973	Gary C. McDonald Richard C. Schwing	1
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	1
+	An Optimal Property of Principal Components in the Context of Restricted Least Squares	1978	Thomas B. Fomby R. Carter Hill Stan R. Johnson	1
+	Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm	1987	Nan M. Laird Nicholas Lange Daniel O. Stram	1
+ PDF Chat	Asymptotic distribution of the reduced rank regression estimator under general conditions	1999	T. W. Anderson	1
+	Improved prediction in the presence of multicollinearity	1987	R. Carter Hill George G. Judge	1
+	Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity	1981	Chris Beaumont D. A. Belsley E. Kuh R. E. Welsch	1
+ PDF Chat	Partial envelopes for efficient estimation in multivariate linear regression	2011	Zhihua Su R. D. Cook	1
+	On some accurate bounds for the quantiles of a non-central chi squared distribution	1990	Christian P. Robert	1
+	Principal component estimation for generalized linear regression	1990	B. Marx Eric P. Smith	1
+ PDF Chat	Estimation of Parameters in a Linear Model	1976	C. Radhakrishna Rao	1
+	A variable selection method in principal canonical correlation analysis	2009	Toru Ogura	1
+	Maximum likelihood estimators in multivariate linear normal models	1989	Dietrich von Rosen	1
+	On Biased Estimation in Linear Models	1973	Lawrence S. Mayer Thomas A. Willke	1
+	Separable factor analysis with applications to mortality data	2014	Bailey K. Fosdick Peter D. Hoff	1
+ PDF Chat	A well-conditioned estimator for large-dimensional covariance matrices	2003	Olivier Ledoit Michael Wolf	1
+	Generalized Liu Type Estimators Under Zellner's Balanced Loss Function	2005	Fikri Akdeniz Alan T. K. Wan Esra Akdeniz	1
+	A generalized multivariate analysis of variance model useful especially for growth curve problems	1964	Richard F. Potthoff Sasanka Roy	1
+	On the adaptive elastic-net with a diverging number of parameters	2009	Hui Zou Hao Helen Zhang	1
+	A Statistical View of Some Chemometrics Regression Tools	1993	lldiko E. Frank Jerome H. Friedman	1
+ PDF Chat	Reduced rank regression via adaptive nuclear norm penalization	2013	Kun Chen Haobin Dong Kalok Chan	1
+	The growth curve model: a review	1991	Dietrich von Rosen	1
+	Moments for a multivariate linear model with an application to the growth curve model	1990	Dietrich von Rosen	1
+	On the asymptotic properties of the group lasso estimator for linear models	2008	Yuval Nardi Alessandro Rinaldo	1
+	Positive definite estimators of large covariance matrices	2012	Adam J. Rothman	1
+	Handbook of Partial Least Squares: Concepts, Methods and Applications	2010	Vincenzo Esposito Vinzi Wynne W. Chin Jrg Henseler Huiwen Wang	1
+	Continuum Regression: Cross-Validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression	1990	M. Stone Randall Brooks	1
+ PDF Chat	Envelopes and Partial Least Squares Regression	2013	R. Dennis Cook Inge S. Helland Zhihua Su	1
+ PDF Chat	Reduced Rank Stochastic Regression with a Sparse Singular value Decomposition	2011	Kun Chen Kung‐Sik Chan Nils Chr. Stenseth	1
+	Multilinear operators for higher-order decompositions.	2006	Tamara G. Kolda	1
+ PDF Chat	Dimension reduction based on constrained canonical correlation and variable filtering	2008	Jianhui Zhou Xuming He	1
+ PDF Chat	Tensor Regression with Applications in Neuroimaging Data Analysis	2013	Hua Zhou Lexin Li Hongtu Zhu	1
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	1
+	Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection	2012	Lisha Chen Jianhua Z. Huang	1
+	On generalized ridge regression estimators under collinearity and balanced loss	2002	Alan T. K. Wan	1
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	1