Yan Zhong

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets 2018 Furong Li
Huiyan Sang
2
+ A note on adaptive group lasso 2008 Hansheng Wang
Chenlei Leng
2
+ A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems 2009 Amir Beck
Marc Teboulle
2
+ PDF Chat Grouping Pursuit Through a Regularization Solution Surface 2010 Xiaotong Shen
Hsin‐Cheng Huang
1
+ PDF Chat Efficient Implementations of the Generalized Lasso Dual Path Algorithm 2015 Taylor Arnold
Ryan J. Tibshirani
1
+ PDF Chat Modeling disease progression via fused sparse group lasso 2012 Jiayu Zhou
Jun Liu
Vaibhav A. Narayan
Jieping Ye
1
+ PDF Chat The Adaptive Lasso and Its Oracle Properties 2006 Hui Zou
1
+ A Dynamic Programming Algorithm for the Fused Lasso and<i>L</i><sub>0</sub>-Segmentation 2013 Nicholas A. Johnson
1
+ Unified LASSO Estimation by Least Squares Approximation 2007 Hansheng Wang
Chenlei Leng
1
+ PDF Chat A Direct Algorithm for 1-D Total Variation Denoising 2013 Laurent Condat
1
+ Robust regression using iteratively reweighted least-squares 1977 Paul W. Holland
Roy E. Welsch
1
+ PDF Chat A Path Algorithm for the Fused Lasso Signal Approximator 2010 Hölger Hoefling
1
+ An Introduction to Multivariate Statistical Analysis 1986 Robb J. Muirhead
T. W. Anderson
1
+ PDF Chat Multicollinearity in Regression Analysis: The Problem Revisited 1967 Donald E. Farrar
Robert R. Glauber
1
+ Heuristics of instability and stabilization in model selection 1996 Leo Breiman
1
+ Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties 2001 Jianqing Fan
Runze Li
1
+ Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging 2007 Michael S. Smith
Ludwig Fahrmeir
1
+ PDF Chat Reduced rank regression via adaptive nuclear norm penalization 2013 Kun Chen
Haobin Dong
Kalok Chan
1
+ Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study 1995 Moshe Buchinsky
1
+ Quantile Regression 2005 Roger Koenker
1
+ PDF Chat Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression 2007 Ming Yuan
Ali Ekici
Zhaosong Lu
Renato D. C. Monteiro
1
+ A note on the group lasso and a sparse group lasso 2010 Jerome H. Friedman
Trevor Hastie
Robert Tibshirani
1
+ PDF Chat Challenges of Big Data analysis 2014 Jianqing Fan
Fang Han
Han Liu
1
+ PDF Chat Adaptive Generalized Fused-Lasso: Asymptotic Properties and Applications 2013 Vivian Viallon
Sophie Lambert‐Lacroix
Holger Höfling
Franck Picard
1
+ PDF Chat On the degrees of freedom of reduced-rank estimators in multivariate regression 2015 Amitava Mukherjee
Kun Chen
Ning Wang
Ji Zhu
1
+ A widely applicable Bayesian information criterion 2013 Sumio Watanabe
1
+ PDF Chat Iteratively reweighted least squares minimization for sparse recovery 2009 Ingrid Daubechies
Ronald DeVore
Massimo Fornasier
C. Sınan GĂŒntĂŒrk
1
+ Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm 1997 I.F. Gorodnitsky
Bhaskar D. Rao
1
+ PDF Chat Low-Rank Structure Learning via Nonconvex Heuristic Recovery 2013 Yue Deng
Qionghai Dai
Risheng Liu
Zengke Zhang
Sanqing Hu
1
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
1
+ Spectral Regularization Algorithms for Learning Large Incomplete Matrices. 2010 Rahul Mazumder
Trevor Hastie
Robert Tibshirani
1
+ PDF Chat Estimating the Dimension of a Model 1978 Gideon Schwarz
1
+ Robust Reduced Rank Regression 2015 Yiyuan She
Kun Chen
1
+ Introduction to Multivariate Statistical Analysis. 1959 William G. Madow
T. W. Anderson
1
+ Regularized Estimating Equations for Model Selection of Clustered Spatial Point Processes 2014 Andrew L. Thurman
Rao Fu
Yongtao Guan
Jun Zhu
1
+ Variable Selection for Binary Spatial Regression: Penalized Quasi-Likelihood Approach 2016 Wenning Feng
Abdhi Sarkar
Chae Young Lim
Tapabrata Maiti
1
+ Fused Lasso Approach in Regression Coefficients Clustering - Learning Parameter Heterogeneity in Data Integration. 2016 Lu Tang
Peter X.‐K. Song
1
+ Robust reduced-rank modeling via rank regression 2016 Weihua Zhao
Heng Lian
Shujie Ma
1
+ Distributed Kernel-Based Gradient Descent Algorithms 2017 Shao-Bo Lin
Ding‐Xuan Zhou
1
+ Regularized Multiple Regression Methods to Deal with Severe Multicollinearity 2018 Netti Herawati
Khoirin Nisa
Eri Setiawan
Nusyirwan Nusyirwan
Tiryono Tiryono
1
+ A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers 2012 Sahand Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
1
+ PDF Chat Asymptotic properties of Lasso+mLS and Lasso+Ridge in sparse high-dimensional linear regression 2013 Hanzhong Liu
Bin Yu
1
+ PDF Chat Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition 2017 Yao Wang
Jiangjun Peng
Qian Zhao
Yee Leung
Xi-Le Zhao
Deyu Meng
1
+ PDF Chat Exploration of Heterogeneous Treatment Effects via Concave Fusion 2019 Shujie Ma
Jian Huang
Zhiwei Zhang
Mingming Liu
1
+ Spectral Regularization Algorithms for Learning Large Incomplete Matrices 2010 MazumderRahul
HastieTrevor
TibshiraniRobert
1
+ U.S. county-level characteristics to inform equitable COVID-19 response 2020 Taylor Chin
Rebecca Kahn
Ruoran Li
Jarvis T. Chen
Nancy Krieger
Caroline O. Buckee
Satchit Balsari
Mathew V. Kiang
1
+ Modular proximal optimization for multidimensional total-variation regularization 2018 BarberoÀlvaro
SraSuvrit
1
+ PDF Chat US-county level variation in intersecting individual, household and community characteristics relevant to COVID-19 and planning an equitable response: a cross-sectional analysis 2020 Taylor Chin
Rebecca Kahn
Ruoran Li
Jarvis T. Chen
Nancy Krieger
Caroline O. Buckee
Satchit Balsari
Mathew V. Kiang
1
+ A Selective Review of Group Selection in High-Dimensional Models 2012 Jian Huang
Patrick Breheny
Shuangge Ma
1
+ PDF Chat Optimal selection of reduced rank estimators of high-dimensional matrices 2011 Florentina Bunea
Yiyuan She
Marten Wegkamp
1