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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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