Peter Radchenko

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Gareth JamesDean of Goizueta Business School, EmoryVerified email at emory.edu
Rahul MazumderMassachusetts Institute of TechnologyVerified email at mit.edu
Gourab MukherjeeUniversity of Southern CaliforniaVerified email at usc.edu
Jinchi LvKenneth King Stonier Chair in Business AdministrationVerified email at marshall.usc.edu
Yingying FanCentennial Chair in Business AdministrationVerified email at marshall.usc.edu
Max MenziesBIMSA (Tsinghua-CAS)Verified email at tsinghua.edu.cn
Nick JamesSchool of Mathematics and Statistics, University of MelbourneVerified email at unimelb.edu.au
Antoine DedieuSenior Research Scientist at Google DeepMindVerified email at deepmind.com
Andrey Vasnevthe University of SydneyVerified email at sydney.edu.au
David PollardYale UniversityVerified email at yale.edu
Hussein HazimehGoogle Research - Massachusetts Institute of TechnologyVerified email at mit.edu
Xinghao QiaoThe University of Hong KongVerified email at hku.hk
Wendun WangErasmus University RotterdamVerified email at ese.eur.nl
Shibal IbrahimMassachusetts Institute of TechnologyVerified email at mit.edu
Emanuel Ben-DavidUS Census BureauVerified email at census.gov
Trambak BanerjeeUniversity of Kansas, School of BusinessVerified email at ku.edu
Bradley RavaUniversity of Sydney Business SchoolVerified email at sydney.edu.au
Artem ProkhorovUniversity of Sydney Business School, CEBA, CIREQVerified email at sydney.edu.au
Alexander SemenovIndustrial & Systems Engineering, University of FloridaVerified email at ufl.edu

Peter Radchenko

University of Sydney

Verified email at sydney.edu.au - Homepage

Statistics Statistical machine learning


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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	168	2010
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
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	107	2023
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	59*	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	17	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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