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Top Topics Research Front Map - October 2009

As part of this bimonthly processing, ScienceWatch.com selects the Research Fronts with the largest absolute increase in size in each of the 22 major fields covered by Essential Science IndicatorsSM from Thomson Reuters. The size of a research front is determined by the number of core papers it contains. This Research Front on HIGH-DIMENSIONAL LINEAR PREDICTOR AND LASSO SELECTION from the field of Computer Science was selected for mapping from the list of Top Topics for October 2009 (data from the third bimonthly period of 2009). The map is a diagrammatic representation of the 28 core papers comprising the front in Computer Science.

Each circle represents a highly cited paper whose bibliographic information is displayed when the user clicks on the circle. The lines between circles represent the strongest co-citation links for each paper (that is, indicating that the papers are frequently cited together). Papers close to each other on the map are generally more highly co-cited. The most recent paper(s) are indicated in pink. Annotations may have been added to this map which represent the main research themes. These appear as labels attached to specific regions on the maps. Ledoit-2004 Efron-2004 Fan-2004 Tibshirani-2005 Greenshtein-2004 Bickel-2004 Zou-2005 Hunter-2005 Yuan-2006 Huang-2006 Meinshausen-2006 Leng-2006 Furrer-2007 Zou-2006 Wang-2007 Yuan-2007 Yuan-2007 Zhao-2006 Zhang-2007 Meier-2008 Candes-2007 Bickel-2008 Huang-2008 vandeGeer-2008 Banerjee-2008 Friedman-2008 Zhang-2008 Friedman-2007
 

HIGH-DIMENSIONAL LINEAR PREDICTOR AND LASSO SELECTION
 


 Core Papers 


Label: Efron-2004
Title: Least angle regression
Journal: ANN STATIST, 32 (2): 407-451 APR 2004
Citations: 289
Authors: Efron, B;Hastie, T;Johnstone, I;Tibshirani, R
Addresses:
Stanford Univ, Dept Stat, Sequoia Hall, Stanford, CA 94305 USA
Stanford Univ, Dept Stat, Stanford, CA 94305 USA


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Label: Zou-2005
Title: Regularization and variable selection via the elastic net
Journal: J ROY STAT SOC SER B-STAT MET, 67: 301-320 Part 2 2005
Citations: 113
Authors: Zou, H;Hastie, T
Addresses:
Stanford Univ, Dept Stat, Stanford, CA 94305 USA
Stanford Univ, Dept Stat, Stanford, CA 94305 USA


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Label: Zou-2006
Title: The adaptive lasso and its oracle properties
Journal: J AMER STATIST ASSN, 101 (476): 1418-1429 DEC 2006
Citations: 59
Authors: Zou, H
Addresses:
Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA
Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA


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Label: Meinshausen-2006
Title: High-dimensional graphs and variable selection with the Lasso
Journal: ANN STATIST, 34 (3): 1436-1462 JUN 2006
Citations: 58
Authors: Meinshausen, N;Buhlmann, P
Addresses:
ETH, Seminar Stat, CH-8092 Zurich, Switzerland
ETH, Seminar Stat, CH-8092 Zurich, Switzerland


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Label: Fan-2004
Title: Nonconcave penalized likelihood with a diverging number of parameters
Journal: ANN STATIST, 32 (3): 928-961 JUN 2004
Citations: 50
Authors: Fan, JQ;Peng, H
Addresses:
Princeton Univ, Dept Operat Res & Financial Engn, Princeton, NJ 08544 USA
Princeton Univ, Dept Operat Res & Financial Engn, Princeton, NJ 08544 USA
Chinese Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong, Peoples R China


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Label: Yuan-2006
Title: Model selection and estimation in regression with grouped variables
Journal: J ROY STAT SOC SER B-STAT MET, 68: 49-67 Part 1 2006
Citations: 50
Authors: Yuan, M;Lin, Y
Addresses:
Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
Univ Wisconsin, Madison, WI USA


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Label: Ledoit-2004
Title: A well-conditioned estimator for large-dimensional covariance matrices
Journal: J MULTIVARIATE ANAL, 88 (2): 365-411 FEB 2004
Citations: 47
Authors: Ledoit, O;Wolf, M
Addresses:
Univ Pompeu Fabra, Dept Econ & Business, Ramon Trias Fargas 25-27, Barcelona 08005, Spain
Univ Pompeu Fabra, Dept Econ & Business, Barcelona 08005, Spain
Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Credit Suisse First Boston, Equities Div, Boston, MA USA


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Label: Zhao-2006
Title: On model selection consistency of Lasso
Journal: J MACH LEARN RES, 7: 2541-2563 NOV 2006
Citations: 38
Authors: Zhao, P;Yu, B
Addresses:
Univ Calif Berkeley, Dept Stat, 367 Evans Hall, Berkeley, CA 94720 USA
Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA


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Label: Bickel-2004
Title: Some theory for Fisher's linear discriminant function, 'naive Bayes', and some alternatives when there are many more variables than observations
Journal: BERNOULLI, 10 (6): 989-1010 DEC 2004
Citations: 31
Authors: Bickel, PJ;Levina, E
Addresses:
Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA


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Label: Hunter-2005
Title: Variable selection using MM algorithms
Journal: ANN STATIST, 33 (4): 1617-1642 AUG 2005
Citations: 29
Authors: Hunter, DR;Li, RZ
Addresses:
Penn State Univ, Dept Stat, University Pk, PA 16802 USA
Penn State Univ, Dept Stat, University Pk, PA 16802 USA


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Label: Tibshirani-2005
Title: Sparsity and smoothness via the fused lasso
Journal: J ROY STAT SOC SER B-STAT MET, 67: 91-108 Part 1 2005
Citations: 27
Authors: Tibshirani, R;Saunders, M;Rosset, S;Zhu, J;Knight, K
Addresses:
Stanford Univ, Dept Hlth Res & Policy, HRP Redwood Bldg, Stanford, CA 94305 USA
Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
Univ Michigan, Ann Arbor, MI 48109 USA
Univ Toronto, Toronto, ON, Canada


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Label: Candes-2007
Title: The Dantzig selector: Statistical estimation when p is much larger than n
Journal: ANN STATIST, 35 (6): 2313-2351 DEC 2007
Citations: 26
Authors: Candes, E;Tao, T
Addresses:
CALTECH, MC 217-50, Pasadena, CA 91125 USA
CALTECH, Pasadena, CA 91125 USA
Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA


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Label: Huang-2006
Title: Covariance matrix selection and estimation via penalised normal likelihood
Journal: BIOMETRIKA, 93 (1): 85-98 MAR 2006
Citations: 23
Authors: Huang, JZ;Liu, NP;Pourahmadi, M;Liu, LX
Addresses:
Texas A&M Univ, Dept Stat, College Stn, TX 77843 USA
Texas A&M Univ, Dept Stat, College Stn, TX 77843 USA
Univ Penn, Dept Stat, Philadelphia, PA 19104 USA
No Illinois Univ, Div Stat, De Kalb, IL 60115 USA
Columbia Univ, Mailman Sch Publ Hlth, Dept Biostat, New York, NY 10032 USA


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Label: Greenshtein-2004
Title: Persistence in high-dimensional linear predictor selection and the virtue of overparametrization
Journal: BERNOULLI, 10 (6): 971-988 DEC 2004
Citations: 22
Authors: Greenshtein, E;Ritov, Y
Addresses:
Univ Haifa, Dept Stat, Mt Carmel, IL-31905 Haifa, Israel
Univ Haifa, Dept Stat, IL-31905 Haifa, Israel
Hebrew Univ Jerusalem, Dept Stat, IL-91905 Jerusalem, Israel


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Label: Furrer-2007
Title: Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants
Journal: J MULTIVARIATE ANAL, 98 (2): 227-255 FEB 2007
Citations: 16
Authors: Furrer, R;Bengtsson, T
Addresses:
Bell Labs, Stat & Data Min Dept, Murray Hill, NJ USA
Bell Labs, Stat & Data Min Dept, Murray Hill, NJ USA
Natl Ctr Atmospher Res, Geophys Stat Project, Boulder, CO USA


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Label: Leng-2006
Title: A note on the Lasso and related procedures in model selection
Journal: STAT SINICA, 16 (4): 1273-1284 OCT 2006
Citations: 15
Authors: Leng, CL;Lin, Y;Wahba, G
Addresses:
Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117546, Singapore
Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117546, Singapore
Univ Wisconsin, Dept Stat, Madison, WI 53706 USA


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Label: Bickel-2008
Title: Regularized estimation of large covariance matrices
Journal: ANN STATIST, 36 (1): 199-227 FEB 2008
Citations: 14
Authors: Bickel, PJ;Levina, E
Addresses:
Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA


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Label: Yuan-2007
Title: On the non-negative garrotte estimator
Journal: J ROY STAT SOC SER B-STAT MET, 69: 143-161 Part 2 2007
Citations: 14
Authors: Yuan, M;Lin, Y
Addresses:
Georgia Inst Technol, Sch Ind & Syst Engn, 755 Ferst Dr NW, Atlanta, GA 30332 USA
Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
Univ Wisconsin, Madison, WI USA


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Label: Zhang-2007
Title: Adaptive lasso for Cox's proportional hazards model
Journal: BIOMETRIKA, 94 (3): 691-703 AUG 2007
Citations: 13
Authors: Zhang, HH;Lu, WB
Addresses:
N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA
N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA


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Label: Yuan-2007
Title: Model selection and estimation in the Gaussian graphical model
Journal: BIOMETRIKA, 94 (1): 19-35 MAR 2007
Citations: 12
Authors: Yuan, M;Lin, Y
Addresses:
Georgia Inst Technol, Sch Ind & Syst Engn, 755 Ferst Dr SW, Atlanta, GA 30332 USA
Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
Univ Wisconsin, Dept Stat, Madison, WI 53706 USA


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Label: Wang-2007
Title: Regression coefficient and autoregressive order shrinkage and selection via the lasso
Journal: J ROY STAT SOC SER B-STAT MET, 69: 63-78 Part 1 2007
Citations: 10
Authors: Wang, HS;Li, GD;Tsai, CL
Addresses:
Peking Univ, Guanghua Sch Management, Beijing 100871, Peoples R China
Peking Univ, Guanghua Sch Management, Beijing 100871, Peoples R China
Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
Univ Calif Davis, Davis, CA 95616 USA


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Label: Friedman-2007
Title: PATHWISE COORDINATE OPTIMIZATION
Journal: ANN APPL STAT, 1 (2): 302-332 DEC 2007
Citations: 8
Authors: Friedman, J;Hastie, T;Hofling, H;Tibshirani, R
Addresses:
Stanford Univ, Dept Stat, Stanford, CA 94305 USA
Stanford Univ, Dept Stat, Stanford, CA 94305 USA
Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA


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Label: Huang-2008
Title: Asymptotic properties of bridge estimators in sparse high-dimensional regression models
Journal: ANN STATIST, 36 (2): 587-613 APR 2008
Citations: 8
Authors: Huang, J;Horowitz, JL;Ma, SG
Addresses:
Univ Iowa, Dept Stat & Actuarial Sci, 241 SH, Iowa City, IA 52242 USA
Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA
Northwestern Univ, Dept Econ, Evanston, IL 60208 USA
Yale Univ, Dept Epidemiol & Publ Hlth, Div Biostat, New Haven, CT 06520 USA


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Label: Banerjee-2008
Title: Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data
Journal: J MACH LEARN RES, 9: 485-516 MAR 2008
Citations: 6
Authors: Banerjee, O;El Ghaoui, L;d'Aspremont, A
Addresses:
Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA
Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA
Princeton Univ, ORFE Dept, Princeton, NJ 08544 USA


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Label: Friedman-2008
Title: Sparse inverse covariance estimation with the graphical lasso
Journal: BIOSTATISTICS, 9 (3): 432-441 JUL 2008
Citations: 6
Authors: Friedman, J;Hastie, T;Tibshirani, R
Addresses:
Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
Stanford Univ, Dept Stat, Stanford, CA 94305 USA


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Label: Zhang-2008
Title: The sparsity and bias of the lasso selection in high-dimensional linear regression
Journal: ANN STATIST, 36 (4): 1567-1594 AUG 2008
Citations: 6
Authors: Zhang, CH;Huang, J
Addresses:
Rutgers State Univ, Dept Stat, Hill Ctr, Piscataway, NJ 08854 USA
Rutgers State Univ, Dept Stat, Hill Ctr, Piscataway, NJ 08854 USA
Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA


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Label: Meier-2008
Title: The group lasso for logistic regression
Journal: J ROY STAT SOC SER B-STAT MET, 70: 53-71 Part 1 2008
Citations: 5
Authors: Meier, L;van de Geer, SV;Buehlmann, P
Addresses:
ETH, Leonhardstr 27, CH-8092 Zurich, Switzerland
ETH, CH-8092 Zurich, Switzerland


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Label: vandeGeer-2008
Title: High-dimensional generalized linear models and the lasso
Journal: ANN STATIST, 36 (2): 614-645 APR 2008
Citations: 5
Authors: van de Geer, SA
Addresses:
ETH, Seminar Stat, LEO D11, CH-8092 Zurich, Switzerland
ETH, Seminar Stat, CH-8092 Zurich, Switzerland


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KEYWORDS: LASSO SELECTION; HIGH-DIMENSIONAL LINEAR PREDICTOR SELECTION; MODEL SELECTION CONSISTENCY; SPARSE HIGH-DIMENSIONAL REGRESSION MODELS; COVARIANCE MATRIX SELECTION.
[FRONT NUMBER: 6709 (2003-2009_3) (COM/MATH: TT, OCT. 2009)]

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Top Topics : 2009 : Oct. 2009 - HIGH-DIMENSIONAL LINEAR PREDICTOR AND LASSO SELECTION - Research Front Map