-
1
-
-
84874257732
-
Better subset selection using the non-negative garotte
-
Breiman, L. (1995), Better subset selection using the non-negative garotte, Technometrics, 37(4), 738-754.
-
(1995)
Technometrics
, vol.37
, Issue.4
, pp. 738-754
-
-
Breiman, L.1
-
2
-
-
84905336408
-
-
Dep. of Sociol., Univ. of Notre Dame, Notre Dame, Ind
-
Cohen, J., and P. Cohen (1975), Analytic strategies: Simultaneous, hierarchical, and stepwise regression, report, 18pp., Dep. of Sociol., Univ. of Notre Dame, Notre Dame, Ind. [Available at http://www.nd. edu/~rwilliam/stats1/ x95.pdf]
-
(1975)
Analytic Strategies: Simultaneous, Hierarchical, and Stepwise Regression, Report
, pp. 18
-
-
Cohen, J.1
Cohen, P.2
-
3
-
-
0001573594
-
Regression, prediction and shrinkage
-
Copas, J. B. (1983), Regression, prediction and shrinkage, J. R. Stat. Soc, Ser. A, 45(3), 311-354.
-
(1983)
J. R. Stat. Soc, Ser. A
, vol.45
, Issue.3
, pp. 311-354
-
-
Copas, J.B.1
-
4
-
-
85101445097
-
-
John Wiley, Hoboken, N. J
-
Draper, N. R., and H. Smith (1966), Applied Regression Analysis, John Wiley, Hoboken, N. J.
-
(1966)
Applied Regression Analysis
-
-
Draper, N.R.1
Smith, H.2
-
5
-
-
0038821242
-
Least angle regression
-
Stanford Univ., Stanford, Calif
-
Efron, B., T. Hastie, I. Johnstone, and R. Tibshirani (2002), Least angle regression, technical report, Stanford Univ., Stanford, Calif.
-
(2002)
Technical Report
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
6
-
-
84883639292
-
Stepwise regression-A backward and forward look
-
Inst. of Math. Stat., Florham Park, N. J
-
Efroymson, M. A. (1966), Stepwise regression-A backward and forward look, paper presented at Eastern Regional Meeting, Inst. of Math. Stat., Florham Park, N. J.
-
(1966)
Eastern Regional Meeting
-
-
Efroymson, M.A.1
-
7
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
doi:10.1198/016214501753382273
-
Fan, J., and R. Li (2001), Variable selection via nonconcave penalized likelihood and its oracle properties, J. Am. Stat. Assoc., 96(456), 1348-1360, doi:10.1198/016214501753382273.
-
(2001)
J. Am. Stat. Assoc.
, vol.96
, Issue.456
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
8
-
-
84888059665
-
Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use
-
NorthEast SAS User Group, Baltimore, Md
-
Flom, P. L., and D. L. Cassell (2007), Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use, paper presented at NESUG 2007, NorthEast SAS User Group, Baltimore, Md.
-
(2007)
NESUG 2007
-
-
Flom, P.L.1
Cassell, D.L.2
-
9
-
-
84952149204
-
A statistical view of some chemometrics regression tools
-
doi:10.1080/00401706.1993.10485033
-
Frank, I. E., and J. H. Friedman (1993), A statistical view of some chemometrics regression tools, Technometrics, 35, 109-135, doi:10.1080/00401706. 1993.10485033.
-
(1993)
Technometrics
, vol.35
, pp. 109-135
-
-
Frank, I.E.1
Friedman, J.H.2
-
10
-
-
0032361278
-
The Bridge versus the LASSO
-
Fu, W. J. (1998), The Bridge versus the LASSO, J. Comput. Graph. Stat., 7(3), 397-416.
-
(1998)
J. Comput. Graph. Stat.
, vol.7
, Issue.3
, pp. 397-416
-
-
Fu, W.J.1
-
11
-
-
84905340351
-
-
Environ. Canada, Montréal, Quebec, Canada
-
Gachon, P., M. Radojevic, and A. Harding (2008), DAI MCCG3 Predicteurs: Ensembles de Données de Prédicteurs issus de la Réanalyse du NCEP/NCAR et du MCCG3.1 T47, version 1.0, report, 17 pp., Environ. Canada, Montréal, Quebec, Canada.
-
(2008)
DAI MCCG3 Predicteurs: Ensembles de Données de Prédicteurs Issus de la Réanalyse du NCEP/NCAR et du MCCG3.1 T47, Version 1.0, Report
, pp. 17
-
-
Gachon, P.1
Radojevic, M.2
Harding, A.3
-
12
-
-
0004123838
-
Least absolute shrinkage is equivalent to quadratic penalization
-
Springer, Berlin
-
Grandvalet, I. (1998), Least absolute shrinkage is equivalent to quadratic penalization, in Perspectives in Neural Computing, pp. 201-206, Springer, Berlin.
-
(1998)
Perspectives in Neural Computing
, pp. 201-206
-
-
Grandvalet, I.1
-
13
-
-
0041879258
-
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
-
MIT Press, Cambridge, Mass
-
Grandvalet, I., and S. Canu (1999), Outcomes of the equivalence of adaptive ridge with least absolute shrinkage, in Proceedings of the 1998 Conference on Advances in Neural Information Processing Systems II, pp. 445-451, MIT Press, Cambridge, Mass.
-
(1999)
Proceedings of the 1998 Conference on Advances in Neural Information Processing Systems II
, pp. 445-451
-
-
Grandvalet, I.1
Canu, S.2
-
14
-
-
38949147835
-
Automated regression-based statistical downscaling tool
-
doi:10.1016/j.envsoft.2007.10.004
-
Hessami, M., P. Gachon, T. B. M. J. Ouarda, and A. St-Hilaire (2008), Automated regression-based statistical downscaling tool, Environ. Modell. Software, 23, 813-834, doi:10.1016/j.envsoft.2007.10.004.
-
(2008)
Environ. Modell. Software
, vol.23
, pp. 813-834
-
-
Hessami, M.1
Gachon, P.2
Ouarda, T.B.M.J.3
St.-Hilaire, A.4
-
15
-
-
0017280570
-
A Biometrics invited paper: The analysis and selection of variables in linear regression
-
doi:10.2307/2529336
-
Hocking, R. R. (1976), A Biometrics invited paper: The analysis and selection of variables in linear regression, Biometrics, 32(1), 1-49, doi:10.2307/2529336.
-
(1976)
Biometrics
, vol.32
, Issue.1
, pp. 1-49
-
-
Hocking, R.R.1
-
16
-
-
84942487147
-
Ridge regression: Applications to nonorthogonal problems
-
Hoerl, E. A., and W. R. Kennard (1970), Ridge regression: Applications to nonorthogonal problems, Technometrics, 12(1), 69-82.
-
(1970)
Technometrics
, vol.12
, Issue.1
, pp. 69-82
-
-
Hoerl, E.A.1
Kennard, W.R.2
-
17
-
-
0002063974
-
Application of stepwise regression to non-linear estimation
-
doi:10.1080/00401706.1968.10490535
-
Jennrich, R. I., and P. F. Sampson (1968), Application of stepwise regression to non-linear estimation, Technometrics, 10(1), 63-72, doi:10.1080/00401706.1968.10490535.
-
(1968)
Technometrics
, vol.10
, Issue.1
, pp. 63-72
-
-
Jennrich, R.I.1
Sampson, P.F.2
-
18
-
-
78049484065
-
Penalized regression, standard errors, and Bayesian LASSO
-
Kyung, M., J. Gill, M. Ghosh, and G. Casella (2010), Penalized regression, standard errors, and Bayesian LASSO, Bayesian Anal, 5(2), 369-412.
-
(2010)
Bayesian Anal
, vol.5
, Issue.2
, pp. 369-412
-
-
Kyung, M.1
Gill, J.2
Ghosh, M.3
Casella, G.4
-
19
-
-
0015143085
-
An application of stagewise and stepwise regression procedures to a problem of estimating precipitation in California
-
doi:10.1175/1520-0450 1971 010<0892:AAOSAS>2.0. CO;2
-
Lund, I. A. (1971), An application of stagewise and stepwise regression procedures to a problem of estimating precipitation in California, J. Appl. Meteorol, 10, 892-902, doi:10.1175/1520-0450 (1971) 010<0892:AAOSAS>2.0. CO;2.
-
(1971)
J. Appl. Meteorol
, vol.10
, pp. 892-902
-
-
Lund, I.A.1
-
20
-
-
0034215549
-
A new approach to variable selection in least squares problems
-
doi:10.1093/imanum/20.3.389
-
Osborne, M. R., B. Presnell, and B. A. Turlach (2000a), A new approach to variable selection in least squares problems, IMA J. Numer. Anal, 20, 389-403, doi:10.1093/imanum/20.3.389.
-
(2000)
IMA J. Numer. Anal
, vol.20
, pp. 389-403
-
-
Osborne, M.R.1
Presnell, B.2
Turlach, B.A.3
-
21
-
-
23044520947
-
On the LASSO and its dual
-
Osborne, M. R., B. Presnell, and B. A. Turlach (2000b), On the LASSO and its dual, J. Comput. Graph. Stat., 9(2), 319-337.
-
(2000)
J. Comput. Graph. Stat.
, vol.9
, Issue.2
, pp. 319-337
-
-
Osborne, M.R.1
Presnell, B.2
Turlach, B.A.3
-
22
-
-
1942418470
-
Grafting: Fast, incremental feature selection by gradient descent in function space
-
Perkins, S., K. Lacker, and J. Theiler (2003), Grafting: Fast, incremental feature selection by gradient descent in function space, J. Mach. Learn. Res., 3, 1333-1356.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1333-1356
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
-
23
-
-
84866664520
-
Least squares optimization with L1-norm regularization
-
Dép. d'Informatique École Normale Supérieure, Paris
-
Schmidt, M. (2005), Least squares optimization with L1-norm regularization, CS542B Project Rep., Dép. d'Informatique École Normale Supérieure, Paris. [Available at http://www.di.ens.fr/~mschmidt/ Software/lasso.pdf]
-
(2005)
CS542B Project Rep.
-
-
Schmidt, M.1
-
24
-
-
85194972808
-
Regression shrinkage and selection via the LASSO
-
Tibshirani, R. (1996), Regression shrinkage and selection via the LASSO, J. R. Stat. Soc, Ser. B, 58(1), 267-288.
-
(1996)
J. R. Stat. Soc, Ser. B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
25
-
-
0036608417
-
Homogenization of daily temperatures over Canada
-
doi:10.1175/1520-0442 2002 015<1322:HODTOC>2.0. CO;2
-
Vincent, L., X. Zhang, B. Bonsal, and W. Hogg (2002), Homogenization of daily temperatures over Canada, J. Clim., 15, 1322-1334, doi:10.1175/1520-0442 (2002) 015<1322:HODTOC>2.0. CO;2.
-
(2002)
J. Clim.
, vol.15
, pp. 1322-1334
-
-
Vincent, L.1
Zhang, X.2
Bonsal, B.3
Hogg, W.4
-
26
-
-
84905352034
-
Variable selection and regularization (revised)
-
U. of Minn.-Twin Cities, Minneapolis
-
Weisberg, S. (2011), Variable selection and regularization (revised), report, U. of Minn.-Twin Cities, Minneapolis. [Available at http://users.stat. umn. edu/~sandy/courses/8053/handouts/lasso.pdf]
-
(2011)
Report
-
-
Weisberg, S.1
|