Peter Radchenko

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Gareth JamesDean of Goizueta Business School, EmoryDirección de correo verificada de emory.edu
Rahul MazumderMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Gourab MukherjeeUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Jinchi LvKenneth King Stonier Chair in Business AdministrationDirección de correo verificada de marshall.usc.edu
Yingying FanCentennial Chair in Business AdministrationDirección de correo verificada de marshall.usc.edu
Max MenziesTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Nick JamesSchool of Mathematics and Statistics, University of MelbourneDirección de correo verificada de unimelb.edu.au
Antoine DedieuResearch Scientist at DeepMindDirección de correo verificada de deepmind.com
Andrey Vasnevthe University of SydneyDirección de correo verificada de sydney.edu.au
David PollardYale UniversityDirección de correo verificada de yale.edu
Xinghao QiaoLondon School of EconomicsDirección de correo verificada de lse.ac.uk
Hussein HazimehGoogle Research - Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Wendun WangErasmus University RotterdamDirección de correo verificada de ese.eur.nl
Trambak BanerjeeUniversity of Kansas, School of BusinessDirección de correo verificada de ku.edu
Bradley RavaUniversity of Sydney Business SchoolDirección de correo verificada de sydney.edu.au
Shibal IbrahimMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Emanuel Ben-DavidUS Census BureauDirección de correo verificada de census.gov

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Peter Radchenko

University of Sydney

Dirección de correo verificada de sydney.edu.au - Página principal

Statistics Statistical machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
DASSO: connections between the Dantzig selector and lasso GM James, P Radchenko, J Lv Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009	230	2009
Functional additive regression Y Fan, G James, P Radchenko The Annals of Statistics 43 (5), 2296-2325, 2015	160	2015
Variable selection using adaptive nonlinear interaction structures in high dimensions P Radchenko, GM James Journal of the American Statistical Association 105 (492), 1541-1553, 2010	148	2010
A generalized Dantzig selector with shrinkage tuning GM James, P Radchenko Biometrika 96 (2), 323-337, 2009	103	2009
COVID-19 second wave mortality in Europe and the United States N James, M Menzies, P Radchenko Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (031105), 2020	95	2020
Variable inclusion and shrinkage algorithms P Radchenko, GM James Journal of the American Statistical Association 103, 1304-1315, 2008	92	2008
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low R Mazumder, P Radchenko, A Dedieu Operations Research 71 (1), 129–147, 2023	80	2023
High Dimensional Single Index Models P Radchenko Journal of Multivariate Analysis 139, 266–282, 2015	72	2015
Improved variable selection with forward-lasso adaptive shrinkage P Radchenko, GM James The Annals of Applied Statistics 5 (1), 427-448, 2011	67	2011
Convex clustering via fusion penalization P Radchenko, G Mukherjee Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017	52*	2017
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization R Mazumder, P Radchenko IEEE Transactions on Information Theory 63 (5), 3053-3075, 2017	44	2017
System and method for creating and scoring a prediction game S Glass, L Lindsell, J Larcher, P Veverka, P Radchenko US Patent App. 12/150,434, 2009	44	2009
Nonlinear least-squares estimation D Pollard, P Radchenko Journal of Multivariate Analysis 97 (2), 548-562, 2006	42	2006
Mixed-rates asymptotics P Radchenko The Annals of Statistics 36 (1), 287-309, 2008	27	2008
Sure independence screening for ultrahigh dimensional feature space Discussion P Bickel, P Buehlmann, Q Yao, R Samworth, P Hall, DM Titterington, ... Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2008	24	2008
Index Models for Sparsely Sampled Functional Data P Radchenko, X Qiao, GM James Journal of the American Statistical Association 110 (510), 824-836, 2015	21	2015
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives H Hazimeh, R Mazumder, P Radchenko The Annals of Statistics 51 (1), 1–32, 2023	16	2023
Reweighting the lasso P Radchenko 2005 Proceedings of the American Statistical Association, 2005	15	2005
Too similar to combine? On negative weights in forecast combination P Radchenko, A Vasnev, W Wang International Journal of Forecasting 39 (1), 18-38, 2023	13	2023
Higher Moment Constraints for Predictive Density Combinations LL Pauwels, P Radchenko, AL Vasnev Available at SSRN 3315025, 2018	8	2018

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