Loann Desboulets

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Common Coauthors
Coauthor Papers Together
Commonly Cited References
Action Title Year Authors # of times referenced
+ The Determination of the Order of an Autoregression 1979 E. J. Hannan
Barry G. Quinn
1
+ Varying Coefficient Regression Models: A Review and New Developments 2013 Byeong U. Park
Enno Mammen
Young Lee
Eun Ryung Lee
1
+ PDF Chat Nearly unbiased variable selection under minimax concave penalty 2010 Cun‐Hui Zhang
1
+ Regression and time series model selection in small samples 1989 Clifford M. Hurvich
Chih‐Ling Tsai
1
+ On Estimating Regression 1964 É. A. Nadaraya
1
+ Smoothly Clipped Absolute Deviation on High Dimensions 2008 Yongdai Kim
Hosik Choi
Hee‐Seok Oh
1
+ Automatic model selection for partially linear models 2009 Xiao Ni
Hao Helen Zhang
Daowen Zhang
1
+ A review of variable selection methods in Partial Least Squares Regression 2012 Tahir Mehmood
Kristian Hovde Liland
Lars Snipen
Solve SÌbø
1
+ PDF Chat Statistical methods with varying coefficient models 2008 Jianqing Fan
Wenyang Zhang
1
+ Using Generalized Correlation to Effect Variable Selection in Very High Dimensional Problems 2009 Peter Hall
H. R. Miller
1
+ The Impact of Model Selection on Inference in Linear Regression 1990 Clifford M. Hurvich
Chih‐Ling Tsai
1
+ Adaptive semi-varying coefficient model selection 2011 Tao Hu
Yingcun Xia
1
+ PDF Chat The Adaptive Lasso and Its Oracle Properties 2006 Hui Zou
1
+ Estimating Optimal Transformations for Multiple Regression and Correlation 1985 Leo Breiman
Jerome H. Friedman
1
+ PDF Chat Variable selection in semiparametric regression modeling 2008 Runze Li
Hua Liang
1
+ PDF Chat A group bridge approach for variable selection 2009 Jian Huang
Shuange Ma
Huiliang Xie
Cun-Hui Zhang
1
+ PDF Chat Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models 2011 Jianqing Fan
Yang Feng
Rui Song
1
+ PDF Chat Least angle regression 2004 Bradley Efron
Trevor Hastie
Iain M. Johnstone
Robert Tibshirani
1
+ Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties 2001 Jianqing Fan
Runze Li
1
+ Stepwise Selection in Small Data Sets A Simulation Study of Bias in Logistic Regression Analysis 1999 Ewout W. Steyerberg
1
+ Variable Selection Using Adaptive Nonlinear Interaction Structures in High Dimensions 2010 Peter Radchenko
Gareth James
1
+ PDF Chat Automatic selection of indicators in a fully saturated regression 2007 Carlos Santos
David F. Hendry
Søren Johansen
1
+ Variable Selection With the Strong Heredity Constraint and Its Oracle Property 2010 Nam Hee Choi
William Li
Ji Zhu
1
+ A Statistical View of Some Chemometrics Regression Tools 1993 lldiko E. Frank
Jerome H. Friedman
1
+ PDF Chat Component selection and smoothing in multivariate nonparametric regression 2006 Yi Lin
Hao Helen Zhang
1
+ PDF Chat High-dimensional additive modeling 2009 Lukas Meier
Sara van de Geer
Peter BĂźhlmann
1
+ Regularization Paths for Generalized Linear Models via Coordinate Descent. 2010 Jerome H. Friedman
Trevor Hastie
Rob Tibshirani
1
+ Resampling Fewer Than n Observations: Gains, Losses, and Remedies for Losses 2011 Peter J. Bickel
Friedrich GĂśtze
W. R. van Zwet
1
+ Penalized Regressions: The Bridge versus the Lasso 1998 Wenjiang J. Fu
1
+ Sparse and efficient estimation for partial spline models with increasing dimension 2013 Guang Cheng
Hao Helen Zhang
Zuofeng Shang
1
+ Ultrahigh Dimensional Feature Screening via RKHS Embeddings 2013 Krishnakumar Balasubramanian
Bharath K. Sriperumbudur
Guy Lebanon
1
+ Ultrahigh dimensional feature selection: beyond the linear model. 2009 Jianqing Fan
Richard J. Samworth
Yichao Wu
1
+ PDF Chat Penalized methods for bi-level variable selection 2009 Patrick Breheny
Jian Huang
1
+ Covariate assisted screening and estimation 2014 Zheng Tracy Ke
Jiashun Jin
Jianqing Fan
1
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
1
+ PDF Chat Model Selection and Estimation in Regression with Grouped Variables 2005 Ming Yuan
Yi Lin
1
+ PDF Chat Sparsity and Smoothness Via the Fused Lasso 2004 Robert Tibshirani
Michael A. Saunders
Saharon Rosset
Ji Zhu
Keith Knight
1
+ PDF Chat Sure Independence Screening for Ultrahigh Dimensional Feature Space 2008 Jianqing Fan
Jinchi Lv
1
+ PDF Chat A low-dimension portmanteau test for non-linearity 2010 Jennifer L. Castle
David F. Hendry
1
+ PDF Chat Feature Screening via Distance Correlation Learning 2012 Runze Li
Wei Zhong
Li Zhu
1
+ PDF Chat Estimating the Dimension of a Model 1978 Gideon Schwarz
1
+ A Selective Overview of Variable Selection in High Dimensional Feature Space. 2010 Jianqing Fan
Jinchi Lv
1
+ Smooth Regression Analysis 1964 Geoffrey S. Watson
1
+ PDF Chat Evaluating Automatic Model Selection 2011 Jennifer L. Castle
Jurgen A. Doornik
David F. Hendry
1
+ A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data 2014 Xueying Chen
Minge Xie
1
+ PENALIZED LINEAR UNBIASED SELECTION 2007 Cun‐Hui Zhang
1
+ <b>penalized</b>: A<i>MATLAB</i>Toolbox for Fitting Generalized Linear Models with Penalties 2016 William McIlhagga
1
+ PDF Chat Correlation rank screening for ultrahigh-dimensional survival data 2016 Jing Zhang
Yanyan Liu
Yuanshan Wu
1
+ PDF Chat Stability Selection 2010 Nicolai Meinshausen
Peter BĂźhlmann
1
+ PDF Chat <b>SIS</b>: An <i>R</i> Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models 2018 Diego Franco Saldana
Yang Feng
1