Jiahui Zou

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All published works
Action Title Year Authors
+ Improving tensor regression by optimal model averaging 2024 Qiushi Bu
Hua Liang
Xinyu Zhang
Jiahui Zou
+ Model averaging for support vector classifier by cross-validation 2023 Jiahui Zou
Chaoxia Yuan
Xinyu Zhang
Guohua Zou
Alan T. K. Wan
+ Optimal Poisson Subsampling for Softmax Regression 2023 Yaqiong Yao
Jiahui Zou
HaiYing Wang
+ Analyzing the Dissemination of News by Model Averaging and Subsampling 2023 Jiahui Zou
+ Optimal Model Averaging for Single-Index Models With Divergent Dimensions 2023 Jiahui Zou
Wendun Wang
Xinyu Zhang
Guohua Zou
+ PDF Chat Frequentist model averaging for envelope models 2023 Ziwen Gao
Jiahui Zou
Xinyu Zhang
Yanyuan Ma
+ PDF Chat Model Averaging for Support Vector Machine by Cross-Validation 2023 Jiahui Zou
Chaoxia Yuan
Xinyu Zhang
Guohua Zou
Alan T. K. Wan
+ Improving tensor regression by optimal model averaging 2023 Qiushi Bu
Hua Liang
Xinyu Zhang
Jiahui Zou
+ PDF Chat Model constraints independent optimal subsampling probabilities for softmax regression 2022 Yaqiong Yao
Jiahui Zou
HaiYing Wang
+ Sampling With Replacement vs Poisson Sampling: A Comparative Study in Optimal Subsampling 2022 J. Wang
Jiahui Zou
HaiYing Wang
+ PDF Chat Optimal model averaging for divergent-dimensional Poisson regressions 2022 Jiahui Zou
Wendun Wang
Xinyu Zhang
Guohua Zou
+ Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling 2022 Jing Wang
Jiahui Zou
HaiYing Wang
+ PDF Chat Model Averaging for Support Vector Machine by J-fold Cross-Validation 2021 Jiahui Zou
Xinyu Zhang
Guohua Zou
Alan T. K. Wan
+ Model Averaging Estimation for Varying-Coefficient Single-Index Models 2021 Yue Liu
Jiahui Zou
Shangwei Zhao
Qinglong Yang
+ A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling 2021 HaiYing Wang
Jiahui Zou
+ Optimal model averaging for single-index models with divergent dimensions 2021 Jiahui Zou
Wendun Wang
Xinyu Zhang
Guohua Zou
+ Model Averaging for Support Vector Machine by Cross-Validation 2021 Jiahui Zou
Chaoxia Yuan
Xinyu Zhang
Guohua Zou
Alan T. K. Wan
+ Network coherence and eigentime identity on a family of weighted fractal networks 2018 Yue Zong
Meifeng Dai
Xiaoqian Wang
Jiaojiao He
Jiahui Zou
Weiyi Su
+ EIGENTIME IDENTITY OF THE WEIGHTED KOCH NETWORKS 2018 Yu Sun
Jiahui Zou
Meifeng Dai
Xiaoqian Wang
Hualong Tang
Weiyi Su
+ Coherence analysis of a class of small-world networks 2017 Jiaojiao He
Meifeng Dai
Yue Zong
Jiahui Zou
+ PDF Chat Eigenvalues of transition weight matrix and eigentime identity of weighted network with two hub nodes 2017 Jiahui Zou
Meifeng Dai
Xiaoqian Wang
Hualong Tang
Di He
Yu Sun
Weiyi Su
+ Eigentime identities for on weighted polymer networks 2017 Meifeng Dai
Hualong Tang
Jiahui Zou
Di He
Yu Sun
Weiyi Su
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Jackknife model averaging 2011 Bruce E. Hansen
Jeffrey S. Racine
8
+ Least squares model averaging by Mallows criterion 2009 Alan T. K. Wan
Xinyu Zhang
Guohua Zou
8
+ PDF Chat Least Squares Model Averaging 2007 Bruce E. Hansen
8
+ A weight-relaxed model averaging approach for high-dimensional generalized linear models 2017 Tomohiro Ando
Ker-chau Li
7
+ Model Selection: An Integral Part of Inference 1997 S. T. Buckland
Kenneth P. Burnham
Nicole H. Augustin
7
+ PDF Chat Variable Selection for Logistic Regression Using a Prediction‐Focused Information Criterion 2006 Gerda Claeskens
Christophe Croux
Johan Van Kerckhoven
6
+ Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models 2015 Xinyu Zhang
Dalei Yu
Guohua Zou
Hua Liang
6
+ PDF Chat Eigenvalues of normalized Laplacian matrices of fractal trees and dendrimers: Analytical results and applications 2013 Alafate Julaiti
Bin Wu
Zhongzhi Zhang
5
+ A Model-Averaging Approach for High-Dimensional Regression 2013 Tomohiro Ando
Ker-Chau Li
5
+ PDF Chat Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors 1999 Jennifer A. Hoeting
David Madigan
Adrian E. Raftery
Chris Volinsky
5
+ PDF Chat Optimal subsampling for quantile regression in big data 2020 HaiYing Wang
Yanyuan Ma
5
+ Combining Linear Regression Models 2005 Zheng Yuan
Yuhong Yang
5
+ Parsimonious Model Averaging With a Diverging Number of Parameters 2019 Xinyu Zhang
Guohua Zou
Hua Liang
Raymond J. Carroll
5
+ PDF Chat Distribution theory of the least squares averaging estimator 2014 Chu-An Liu
4
+ PDF Chat Faster least squares approximation 2010 Petros Drineas
Michael W. Mahoney
S. Muthukrishnan
TamĂĄs SarlĂłs
4
+ PDF Chat Estimating the Dimension of a Model 1978 Gideon Schwarz
4
+ Adaptively combined forecasting for discrete response time series 2013 Xinyu Zhang
Zudi Lu
Guohua Zou
4
+ Maximum Likelihood Estimation of Misspecified Models 1982 Halbert White
4
+ PDF Chat Spectra of weighted scale-free networks 2015 Zhongzhi Zhang
Xiaoye Guo
Yuhao Yi
4
+ PDF Chat Frequentist Model Average Estimators 2003 Nils Lid Hjort
Gerda Claeskens
4
+ The entire mean weighted first-passage time on infinite families of weighted tree networks 2017 Yanqiu Sun
Meifeng Dai
Shuxiang Shao
Weiyi Su
4
+ PDF Chat Information-Based Optimal Subdata Selection for Big Data Linear Regression 2018 HaiYing Wang
Min Yang
John Stufken
4
+ PDF Chat Adaptive Regression by Mixing 2001 Yuhong Yang
3
+ PDF Chat Random walks on weighted networks 2013 Zhongzhi Zhang
Tong Shan
Guanrong Chen
3
+ PDF Chat Random walks in weighted networks with a perfect trap: An application of Laplacian spectra 2013 Lin Yuan
Zhongzhi Zhang
3
+ PDF Chat Spectra of random graphs with given expected degrees 2003 Fan Chung
Linyuan LĂŒ
Van Vu
3
+ PDF Chat Global mean first-passage times of random walks on complex networks 2009 Vincent Tejedor
O. BĂ©nichou
Raphaël Voituriez
3
+ Resistance distance and the normalized Laplacian spectrum 2006 Haiyan Chen
Fuji Zhang
3
+ PDF Chat Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data 2020 Jun Yu
Haiying Wang
Mingyao Ai
Huiming Zhang
3
+ Heteroscedasticity‐robust<i>Cp</i>model averaging 2013 Qingfeng Liu
Ryo Okui
3
+ PDF Chat Random walks on non-homogenous weighted Koch networks 2013 Meifeng Dai
Xingyi Li
Lifeng Xi
3
+ PDF Chat CUR matrix decompositions for improved data analysis 2009 Michael W. Mahoney
Petros Drineas
3
+ PDF Chat On the spectrum of the normalized Laplacian of iterated triangulations of graphs 2015 Pinchen Xie
Zhongzhi Zhang
Francesc Comellas
2
+ COUNTING SPANNING TREES IN PRISM AND ANTI-PRISM GRAPHS 2016 Weigang Sun
Shuai Wang
Jingyuan Zhang
2
+ PDF Chat Average weighted trapping time of the node- and edge- weighted fractal networks 2016 Meifeng Dai
Dandan Ye
Jie Hou
Lifeng Xi
Weiyi Su
2
+ Spectra of Graphs 2011 Andries E. Brouwer
Willem H. Haemers
2
+ PDF Chat Model averaging, asymptotic risk, and regressor groups 2014 Bruce E. Hansen
2
+ PDF Chat Sure Independence Screening for Ultrahigh Dimensional Feature Space 2008 Jianqing Fan
Jinchi Lv
2
+ Oracle properties of SCAD-penalized support vector machine 2012 Changyi Park
Kwangrae Kim
Rangmi Myung
Ja‐Yong Koo
2
+ PDF Chat A Scalable Bootstrap for Massive Data 2014 Ariel Kleiner
Ameet Talwalkar
Purnamrita Sarkar
Michael I. Jordan
2
+ PDF Chat The architecture of complex weighted networks 2004 Alain Barrat
Marc Barthélemy
Romualdo Pastor‐Satorras
Alessandro Vespignani
2
+ Full eigenvalues of the Markov matrix for scale-free polymer networks 2014 Zhongzhi Zhang
Xiaoye Guo
Lin Yuan
2
+ Searching for exotic particles in high-energy physics with deep learning 2014 Pierre Baldi
Peter Sadowski
D. Whiteson
2
+ PDF Chat Low rank approximation and regression in input sparsity time 2013 Kenneth L. Clarkson
David P. Woodruff
2
+ A Statistical Perspective on Algorithmic Leveraging 2014 Ping Ma
Michael W. Mahoney
Bin Yu
2
+ PDF Chat Semiparametric least squares (SLS) and weighted SLS estimation of single-index models 1993 Hidehiko Ichimura
2
+ Fast Monte Carlo Algorithms for Matrices II: Computing a Low-Rank Approximation to a Matrix 2006 Petros Drineas
Ravi Kannan
Michael W. Mahoney
2
+ Fast Monte Carlo Algorithms for Matrices III: Computing a Compressed Approximate Matrix Decomposition 2006 Petros Drineas
Ravi Kannan
Michael W. Mahoney
2
+ Model Selection via Bayesian Information Criterion for Quantile Regression Models 2013 Eun Ryung Lee
Hohsuk Noh
Byeong U. Park
2
+ PDF Chat Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension 2012 Lan Wang
Yichao Wu
Runze Li
2