Siyang Wang

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Tests for High-Dimensional Regression Coefficients With Factorial Designs 2011 Ping-Shou Zhong
Song Xi Chen
4
+ Testing Against a High Dimensional Alternative 2006 Jelle J. Goeman
Sara A. van de Geer
Hans C. van Houwelingen
3
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
3
+ Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control 2011 Jelle J. Goeman
Hans C. van Houwelingen
Livio Finos
3
+ Adaptive Lasso for sparse high-dimensional regression models 2008 Jian Huang
Shuangge Ma
Cun Hui Zhang
3
+ Generalized<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si57.gif" display="inline" overflow="scroll"><mml:mi>F</mml:mi></mml:math>test for high dimensional linear regression coefficients 2013 Siyang Wang
Hengjian Cui
3
+ PDF Chat On testing the significance of sets of genes 2007 Bradley Efron
Robert Tibshirani
3
+ PDF Chat The sparsity and bias of the Lasso selection in high-dimensional linear regression 2008 Cun-Hui Zhang
Jian Huang
3
+ PDF Chat Two‐stage model selection procedures in partially linear regression 2004 Florentina Bunea
Marten Wegkamp
2
+ Semiparametric Estimates of the Relation between Weather and Electricity Sales 1986 Robert F. Engle
Clive W. J. Granger
John Rice
Andrew Weiss
2
+ PDF Chat The Dantzig selector: Statistical estimation when p is much larger than n 2007 Emmanuel J. CandĂšs
Terence Tao
2
+ Convergence of quadratic forms with nonvanishing diagonal 2007 R. J. Bhansali
Liudas Giraitis
Piotr Kokoszka
2
+ PDF Chat Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis 2007 Michael A. Newton
Fernando A. Quintana
Johan A. den Boon
Srikumar Sengupta
Paul Ahlquist
2
+ PDF Chat Testing a single regression coefficient in high dimensional linear models 2016 Wei Lan
Ping-Shou Zhong
Runze Li
Hansheng Wang
Chih‐Ling Tsai
2
+ PDF Chat Marginal asymptotics for the “large $p$, small $n$” paradigm: With applications to microarray data 2007 Michael R. Kosorok
Shuangge Ma
2
+ Kernel Smoothing in Partial Linear Models 1988 Paul L. Speckman
2
+ Weak Convergence and Empirical Processes 1996 Aad van der Vaart
Jon A. Wellner
2
+ Robust Statistics: The Approach Based on Influence Functions 1987 David Ruppert
Frank R. Hampel
Elvezio Ronchetti
Peter J. Rousseeuw
Werner A. Stahel
2
+ New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis 2004 Jianqing Fan
Runze Li
2
+ PDF Chat SCAD-penalized regression in high-dimensional partially linear models 2009 Huiliang Xie
Jian Huang
2
+ Weak Convergence and Empirical Processes: With Applications to Statistics 1996 Jon A. Wellner
2
+ PDF Chat A two-sample test for high-dimensional data with applications to gene-set testing 2010 Song Xi Chen
Yingli Qin
2
+ Robust Statistics 1981 Peter J. Huber
2
+ Spline Smoothing in a Partly Linear Model 1986 Nancy Heckman
2
+ PDF Chat Multidimensional trimming based on projection depth 2006 Yijun Zuo
1
+ <i>L</i><sub>1</sub>-Norm Quantile Regression 2008 Youjuan Li
Ji Zhu
1
+ PDF Chat The composite absolute penalties family for grouped and hierarchical variable selection 2009 Peng Zhao
Guilherme V. Rocha
Bin Yu
1
+ PDF Chat The Metrically Trimmed Mean as a Robust Estimator of Location 1992 Seong-Ju Kim
1
+ Functional Adaptive Model Estimation 2005 Gareth James
Bernard W. Silverman
1
+ Longitudinal data analysis using t-type regression 2003 Xuming He
Hengjian Cui
Douglas G. Simpson
1
+ Partially Linear Models 2000 Wolfgang Karl HĂ€rdle
Hua Liang
Jiti Gao
1
+ Simultaneous estimation and factor selection in quantile regression via adaptive sup-norm regularization 2011 Sungwan Bang
Myoungshic Jhun
1
+ PDF Chat A Constrained<i>ℓ</i><sub>1</sub>Minimization Approach to Sparse Precision Matrix Estimation 2011 Tommaso Cai
Weidong Liu
Xi Luo
1
+ PDF Chat Locally Weighted Censored Quantile Regression 2009 Huixia Wang
Lan Wang
1
+ Adaptive functional linear regression 2012 Fabienne Comte
Jan Johannes
1
+ PDF Chat Quantile regression when the covariates are functions 2005 Hervé Cardot
Christophe Crambes
Pascal Sarda
1
+ PDF Chat Asymptotic properties of bridge estimators in sparse high-dimensional regression models 2008 Jian Huang
Joël L. Horowitz
Shuangge Ma
1
+ Nonparametric Functional Data Analysis: Theory and Practice 2007 Mark Greenwood
1
+ Nonparametric functional data analysis : theory and practice 2006 Frédéric Ferraty
Philippe Vieu
1
+ Efficient Bounded-Influence Regression Estimation 1982 William S. Krasker
Roy E. Welsch
1
+ PDF Chat A Large Sample Study of Rank Estimation for Censored Regression Data 1993 Zhiliang Ying
1
+ PDF Chat Limit of the Smallest Eigenvalue of a Large Dimensional Sample Covariance Matrix 1993 Zhidong Bai
Yanqing Yin
1
+ Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data 2012 Han‐Ying Liang
Jacobo de Uña‐Álvarez
MarĂ­a del Carmen Iglesias PĂ©rez
1
+ PDF Chat On the Stahel-Donoho estimator and depth-weighted means of multivariate data 2004 Yijun Zuo
Hengjian Cui
Xuming He
1
+ PDF Chat Asymptotic Behavior of $M$ Estimators of $p$ Regression Parameters when $p^2 / n$ is Large; II. Normal Approximation 1985 Stephen Portnoy
1
+ PDF Chat A Goodness-of-Fit Test for the Functional Linear Model with Scalar Response 2013 Eduardo GarcĂ­a–PortuguĂ©s
Wenceslao González–Manteiga
Manuel Febrero‐Bande
1
+ PDF Chat Asymptotic Behavior of $M$-Estimators of $p$ Regression Parameters when $p^2/n$ is Large. I. Consistency 1984 Stephen Portnoy
1
+ A Fast Algorithm for the Minimum Covariance Determinant Estimator 1999 Peter J. Rousseeuw
Katrien Van Driessen
1
+ M-estimation of the accelerated failure time model under a convex discrepancy function 2010 Weihua Zhou
1
+ PDF Chat Nonconcave penalized likelihood with a diverging number of parameters 2004 Jianqing Fan
Heng Peng
1