Haipeng Shen

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All published works

Action	Title	Year	Authors
+ PDF Chat	Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data	2024	Fengxia Wei Jiajie Mo Kai Zhang Haipeng Shen Srikantan S. Nagarajan Fei Jiang
+	Optimal Functional Bilinear Regression with Two-way Functional Covariates via Reproducing Kernel Hilbert Space	2023	Dan Yang Jianlong Shao Haipeng Shen Dong Wang Hongtu Zhu
+ PDF Chat	Network regression and supervised centrality estimation	2021	Junhui Cai Dan Yang Zhu Wu Haipeng Shen Linda Zhao
+ PDF Chat	Network Regression and Supervised Centrality Estimation	2021	Junhui Cai Dan Yang Wu Zhu Haipeng Shen Linda Zhao
+ PDF Chat	Inference for conditional value-at-risk of a predictive regression	2020	Yi He Yanxi Hou Liang Peng Haipeng Shen
+	Hazard rate estimation for call center customer patience time	2019	Han Ye Lawrence D. Brown Haipeng Shen
+ PDF Chat	Statistical Theory Powering Data Science	2019	Junhui Cai Avishai Mandelbaum Chaitra H. Nagaraja Haipeng Shen Linda Zhao
+	Functional Censored Quantile Regression	2019	Fei Jiang Qing Cheng Guosheng Yin Haipeng Shen
+	Inference for Conditional Value-at-Risk of a Predictive Regression	2018	Yi He Yanxi Hou Liang Peng Haipeng Shen
+	Exponential Family Functional Data Analysis via a Low-Rank Model	2018	Gen Li Jianhua Z. Huang Haipeng Shen
+ PDF Chat	A survey of high dimension low sample size asymptotics	2018	Makoto Aoshima Dan Shen Haipeng Shen Kazuyoshi Yata Yi‐Hui Zhou J. S. Marron
+ PDF Chat	To Wait or Not to Wait: Two-Way Functional Hazards Model for Understanding Waiting in Call Centers	2018	Gen Li Jianhua Z. Huang Haipeng Shen
+	To Wait or Not to Wait: Two-way Functional Hazards Model for Understanding Waiting in Call Centers	2018	Gen Li Jianhua Z. Huang Haipeng Shen
+ PDF Chat	A survey of high dimension low sample size asymptotics	2018	Makoto Aoshima Dan Shen Haipeng Shen Kazuyoshi Yata Yi-Hui Zhou J. S. Marron
+ PDF Chat	The statistics and mathematics of high dimension low sample size asymptotics	2016	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron
+ PDF Chat	A General Framework for Consistency of Principal Component Analysis	2016	Dan Shen Haipeng Shen J. S. Marron
+	A general framework for consistency of principal component analysis	2016	Dan Shen Haipeng Shen J. S. Marron
+ PDF Chat	Supervised Sparse and Functional Principal Component Analysis	2015	Gen Li Haipeng Shen Jianhua Z. Huang
+	Supervised singular value decomposition and its asymptotic properties	2015	Gen Li Dan Yang Andrew B. Nobel Haipeng Shen
+	Least squares sieve estimation of mixture distributions with boundary effects	2014	Mihee Lee Ling Wang Haipeng Shen Peter Hall Guang Guo J. S. Marron
+	Robust regularized singular value decomposition with application to mortality data	2013	Lingsong Zhang Haipeng Shen Jianhua Z. Huang
+ PDF Chat	Functional Data Analysis of Tree Data Objects	2013	Dan Shen Haipeng Shen Shankar Bhamidi Yolanda Muñoz Maldonado Yongdai Kim J. S. Marron
+	Surprising Asymptotic Conical Structure in Critical Sample Eigen-Directions	2013	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron
+ PDF Chat	Deconvolution estimation of mixture distributions with boundaries	2013	Mihee Lee Peter Hall Haipeng Shen J. S. Marron Jon W. Tolle Christina L. Burch
+ PDF Chat	Robust regularized singular value decomposition with application to mortality data	2013	Lingsong Zhang Haipeng Shen Jianhua Z. Huang
+ PDF Chat	Consistency of sparse PCA in High Dimension, Low Sample Size contexts	2013	Dan Shen Haipeng Shen J.S. Marron
+	Functional dynamic factor models with application to yield curve forecasting	2012	Spencer Hays Haipeng Shen Jianhua Z. Huang
+	High Dimensional Principal Component Scores and Data Visualization	2012	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron
+ PDF Chat	Functional dynamic factor models with application to yield curve forecasting	2012	Spencer Hays Haipeng Shen Jianhua Z. Huang
+	A General Framework For Consistency of Principal Component Analysis	2012	Dan Shen Haipeng Shen J. S. Marron
+	Consistency of Sparse PCA in High Dimension, Low Sample Size Contexts	2011	Dan Shen Haipeng Shen J. S. Marron
+ PDF Chat	The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions	2009	Jianhua Z. Huang Haipeng Shen Andreas Buja
+	On Modeling and Forecasting Time Series of Smooth Curves	2009	Haipeng Shen
+ PDF Chat	Forecasting time series of inhomogeneous Poisson processes with application to call center workforce management	2008	Haipeng Shen Jianhua Z. Huang
+ PDF Chat	Functional principal components analysis via penalized rank one approximation	2008	Jianhua Z. Huang Haipeng Shen Andreas Buja
+ PDF Chat	Singular Value Decomposition and Its Visualization	2007	Lingsong Zhang J. S. Marron Haipeng Shen Zhengyuan Zhu
+	Efficient mean estimation in log-normal linear models	2007	Haipeng Shen Zhengyuan Zhu
+	Non-parametric modelling of time-varying customer service times at a bank call centre	2006	Haipeng Shen Lawrence D. Brown
+	Efficient estimation of log-normal means with application to pharmacokinetic data	2005	Haipeng Shen Lawrence D. Brown Hui Zhi
+	Analysis of call centre arrival data using singular value decomposition: Research Articles	2005	Haipeng Shen Jianhua Z. Huang
+ PDF Chat	Statistical Analysis of a Telephone Call Center	2005	Lawrence Brown Noah Gans Avishai Mandelbaum Anat Sakov Haipeng Shen Sergey Zeltyn Linda Zhao
+	Functional Coefficient Regression Models for Non‐linear Time Series: A Polynomial Spline Approach	2004	Jianhua Z. Huang Haipeng Shen
+	Nonparametric regression for problems involving lognormal distributions	2003	Haipeng Shen

Common Coauthors

Coauthor	Papers Together
J. S. Marron	9
Dan Shen	9
Jianhua Z. Huang	7
Jianhua Z. Huang	5
Gen Li	4
Hongtu Zhu	3
Lingsong Zhang	3
Lawrence D. Brown	3
Junhui Cai	3
Linda Zhao	3
Fei Jiang	2
Zhengyuan Zhu	2
J. S. Marron	2
Mihee Lee	2
Spencer Hays	2
Yi He	2
Makoto Aoshima	2
Kazuyoshi Yata	2
J. S. Marron	2
Liang Peng	2
Yanxi Hou	2
Andreas Buja	2
Dan Yang	2
Avishai Mandelbaum	2
Dan Shen	2
Dan Yang	1
Yi‐Hui Zhou	1
Gen Li	1
Dan Yang	1
Jianlong Shao	1
Peter Hall	1
Jianhua Z. Huang	1
Peter Hall	1
Lawrence Brown	1
Wu Zhu	1
Yi-Hui Zhou	1
Kai Zhang	1
Sergey Zeltyn	1
Guang Guo	1
Yongdai Kim	1
Qing Cheng	1
Yolanda Muñoz Maldonado	1
Shankar Bhamidi	1
Srikantan S. Nagarajan	1
Linda Zhao	1
Andrew B. Nobel	1
Christina L. Burch	1
Jiajie Mo	1
Jon W. Tolle	1
Hui Zhi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Statistical Analysis of a Telephone Call Center	2005	Lawrence Brown Noah Gans Avishai Mandelbaum Anat Sakov Haipeng Shen Sergey Zeltyn Linda Zhao	9
+ PDF Chat	The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions	2009	Jianhua Z. Huang Haipeng Shen Andreas Buja	7
+ PDF Chat	Functional principal components analysis via penalized rank one approximation	2008	Jianhua Z. Huang Haipeng Shen Andreas Buja	6
+ PDF Chat	PCA consistency in high dimension, low sample size context	2009	Sungkyu Jung J. S. Marron	6
+ PDF Chat	Geometric Representation of High Dimension, Low Sample Size Data	2005	Peter A. Hall J. S. Marron Amnon Neeman	6
+	Functional Data Analysis	2005	J. O. Ramsay	6
+	Boundary behavior in High Dimension, Low Sample Size asymptotics of PCA	2012	Sungkyu Jung Arusharka Sen J. S. Marron	6
+	ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL	2007	Debashis Paul	5
+ PDF Chat	Bi-cross-validation of the SVD and the nonnegative matrix factorization	2009	Art B. Owen Patrick O. Perry	5
+	Consistency of sparse PCA in High Dimension, Low Sample Size contexts	2012	Dan Shen Haipeng Shen J. S. Marron	5
+	Augmented sparse principal component analysis for high dimensional data	2012	Debashis Paul Iain M. Johnstone	5
+	Functional Data Analysis	2005	J. O. Ramsay B. W. Silverman	5
+ PDF Chat	Convergence and prediction of principal component scores in high-dimensional settings	2010	Seunggeun Lee Fei Zou Fred A. Wright	4
+	Applied Functional Data Analysis: Methods and Case Studies	2002	J. O. Ramsay Bernard W. Silverman	4
+	The high-dimension, low-sample-size geometric representation holds under mild conditions	2007	Jae Youn Ahn J. S. Marron Klaus Müller Yueh‐Yun Chi	4
+	Functional Data Analysis for Sparse Longitudinal Data	2005	Fang Yao Hans‐Georg Müller Jane-Ling Wang	4
+ PDF Chat	Limit expressions for the risk of james‐stein estimators	1982	George Casella Jiunn Tzon Hwang	4
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	4
+ PDF Chat	Smoothed functional principal components analysis by choice of norm	1996	Bernard W. Silverman	4
+	A general framework for consistency of principal component analysis	2016	Dan Shen Haipeng Shen J. S. Marron	3
+	Functional Data Analysis	1998	J. S. Marron J. O. Ramsey Bernard W. Silverman	3
+	Nonparametric Functional Data Analysis: Theory And Practice	2007	Zhenzhen Lu	3
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	3
+	Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations	2011	Kazuyoshi Yata Makoto Aoshima	3
+	Functional Data Analysis, 2nd Edn	2005	J. O. Ramsay B. W. Silverman	3
+ PDF Chat	Asymptotic Theory for Principal Component Analysis	1963	T. W. Anderson	3
+	Bayesian Analysis of Abandonment in Call Center Operations	2012	Tevfik Aktekin Refik Soyer	3
+ PDF Chat	Forecasting time series of inhomogeneous Poisson processes with application to call center workforce management	2008	Haipeng Shen Jianhua Z. Huang	3
+ PDF Chat	Estimating the Variance In Nonparametric Regression—What is a Reasonable Choice?	1998	Holger Dette Axel Munk Thorsten Wagner	3
+	Principal Component Analysis	1988	Colin Goodall Ian T. Jolliffe	3
+ PDF Chat	The root–unroot algorithm for density estimation as implemented via wavelet block thresholding	2009	Lawrence Brown Tommaso Cai Ren Zhang Linda Zhao Harrison H. Zhou	3
+	An Evaluation of Approximate Confidence Interval Estimation Methods for Lognormal Means	1972	Charles E. Land	3
+	Nonparametric Regression and Generalized Linear Models	1993	P.J. Green Bernard W. Silverman	3
+	Reconstruction of a low-rank matrix in the presence of Gaussian noise	2013	Andrey A. Shabalin Andrew B. Nobel	3
+	Asymptotically optimal difference-based estimation of variance in nonparametric regression	1990	Peter Hall Jim Kay D. M. Titterington	3
+	Local Regression and Likelihood	1999	Clive Loader	3
+	Applied Functional Data Analysis	2003	Henry W. Altland	3
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2011	Florent Benaych-Georges Raj Rao Nadakuditi	3
+	Estimating the Mean and Covariance Structure Nonparametrically When the Data are Curves	1991	John A. Rice B. W. Silverman	3
+ PDF Chat	Estimation of Heteroscedasticity in Regression Analysis	1987	Hans‐Georg Müller Ulrich Stadtmüller	3
+ PDF Chat	Finite sample approximation results for principal component analysis: A matrix perturbation approach	2008	Boaz Nadler	3
+	Robust principal component analysis for functional data	1999	Nicholas Locantore J. S. Marron Douglas G. Simpson N. Tripoli J. T. Zhang K. L. Cohen Graciela Boente Ricardo Fraiman Babette Brumback Christophe Croux	2
+	Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix	2010	Kazuyoshi Yata Makoto Aoshima	2
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson	2
+	AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS	2011	Cristiano Varin Nancy Reid David Firth	2
+	On sample eigenvalues in a generalized spiked population model	2011	Zhidong Bai Jianfeng Yao	2
+	Alternating Direction Method with Self-Adaptive Penalty Parameters for Monotone Variational Inequalities	2000	Bing He Hai Yang S. L. Wang	2
+	Joint and individual variation explained (JIVE) for integrated analysis of multiple data types	2013	Eric F. Lock Katherine A. Hoadley J. S. Marron Andrew B. Nobel	2
+	How to Approximate a Histogram by a Normal Density	1993	Lawrence D. Brown J. T. Gene Hwang	2
+	Nonparametric functional data analysis : theory and practice	2006	Frédéric Ferraty Philippe Vieu	2