Peter Radchenko

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Coauteurs

Gareth JamesDean of Goizueta Business School, EmoryAdresse e-mail validée de emory.edu
Rahul MazumderMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Gourab MukherjeeUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Jinchi LvKenneth King Stonier Chair in Business AdministrationAdresse e-mail validée de marshall.usc.edu
Yingying FanCentennial Chair in Business AdministrationAdresse e-mail validée de marshall.usc.edu
Antoine DedieuSenior Research Scientist at Google DeepMindAdresse e-mail validée de deepmind.com
Max MenziesBIMSA (Tsinghua-CAS)Adresse e-mail validée de tsinghua.edu.cn
Nick JamesSchool of Mathematics and Statistics, University of MelbourneAdresse e-mail validée de unimelb.edu.au
Andrey Vasnevthe University of SydneyAdresse e-mail validée de sydney.edu.au
David PollardYale UniversityAdresse e-mail validée de yale.edu
Hussein HazimehGoogle Research - Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Xinghao QiaoThe University of Hong KongAdresse e-mail validée de hku.hk
Wendun WangErasmus University RotterdamAdresse e-mail validée de ese.eur.nl
Shibal IbrahimMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Emanuel Ben-DavidUS Census BureauAdresse e-mail validée de census.gov
Trambak BanerjeeUniversity of Kansas, School of BusinessAdresse e-mail validée de ku.edu
Bradley RavaUniversity of Sydney Business SchoolAdresse e-mail validée de sydney.edu.au
Artem ProkhorovUniversity of Sydney Business School, CEBA, CIREQAdresse e-mail validée de sydney.edu.au
Alexander SemenovIndustrial & Systems Engineering, University of FloridaAdresse e-mail validée de ufl.edu

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Peter Radchenko

University of Sydney

Adresse e-mail validée de sydney.edu.au - Page d'accueil

Statistics Statistical machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	233	2009
Functional additive regression Y Fan, G James, P Radchenko The Annals of Statistics 43 (5), 2296-2325, 2015	182	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	169	2010
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	109	2023
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	109	2020
A generalized Dantzig selector with shrinkage tuning GM James, P Radchenko Biometrika 96 (2), 323-337, 2009	107	2009
Variable inclusion and shrinkage algorithms P Radchenko, GM James Journal of the American Statistical Association 103, 1304-1315, 2008	94	2008
High Dimensional Single Index Models P Radchenko Journal of Multivariate Analysis 139, 266–282, 2015	81	2015
Improved variable selection with forward-lasso adaptive shrinkage P Radchenko, GM James The Annals of Applied Statistics 5 (1), 427-448, 2011	71	2011
Convex clustering via fusion penalization P Radchenko, G Mukherjee Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017	60*	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	52	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	51	2009
Nonlinear least-squares estimation D Pollard, P Radchenko Journal of Multivariate Analysis 97 (2), 548-562, 2006	49	2006
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	32	2023
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	22	2015
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	19	2023
Reweighting the lasso P Radchenko 2005 Proceedings of the American Statistical Association, 2005	15	2005
Higher Moment Constraints for Predictive Density Combinations LL Pauwels, P Radchenko, AL Vasnev Available at SSRN 3315025, 2018	9	2018

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