-
1
-
-
84857394773
-
Wavelet methods in statistics: Some recent developments and their applications
-
[628,629,638]
-
Antoniadis, A. (2007), "Wavelet Methods in Statistics: Some Recent Developments and Their Applications," Statistics Surveys, 1, 16-55. [628,629,638]
-
(2007)
Statistics Surveys
, vol.1
, pp. 16-55
-
-
Antoniadis, A.1
-
2
-
-
0442312210
-
Regularization of wavelets approximations
-
[630,631]
-
Antoniadis, A., and Fan, J. (2001), "Regularization of Wavelets Approximations," Journal of the American Statistical Association, 96, 939-967. [630,631]
-
(2001)
Journal of the American Statistical Association
, vol.96
, pp. 939-967
-
-
Antoniadis, A.1
Fan, J.2
-
4
-
-
0001677717
-
Controlling the false discovery rate: A practical and powerful approach to multiple testing
-
[636]
-
Benjamini, Y., and Hochberg, Y. (1995), "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing," Journal of the Royal Statistical Society, Ser. B, 57 (1), 289-300. [636]
-
(1995)
Journal of the Royal Statistical Society, Ser. B
, vol.57
, Issue.1
, pp. 289-300
-
-
Benjamini, Y.1
Hochberg, Y.2
-
6
-
-
0000857113
-
Multivariate Bayesian variable selection and prediction
-
[636]
-
Brown, P. J., Vannucci, M., and Fearn, T. (1998), "Multivariate Bayesian Variable Selection and Prediction," Journal of the Royal Statistical Society, Ser. B, 60 (3), 627-641. [636]
-
(1998)
Journal of the Royal Statistical Society, Ser. B
, vol.60
, Issue.3
, pp. 627-641
-
-
Brown, P.J.1
Vannucci, M.2
Fearn, T.3
-
7
-
-
50949108781
-
Extended Bayesian information criterion for model selection with large model space
-
[633]
-
Chen, J., and Chen, Z. (2008), "Extended Bayesian Information Criterion for Model Selection With Large Model Space," Biometrika, 95, 759-771. [633]
-
(2008)
Biometrika
, vol.95
, pp. 759-771
-
-
Chen, J.1
Chen, Z.2
-
8
-
-
21144480630
-
A bounded influence, high breakdown, efficient regression estimator
-
[627]
-
Coakley, C. W., and Hettmansperger, T. P. (1993), "A Bounded Influence, High Breakdown, Efficient Regression Estimator," Journal of the American Statistical Association, 88 (423), 872-880. [627]
-
(1993)
Journal of the American Statistical Association
, vol.88
, Issue.423
, pp. 872-880
-
-
Coakley, C.W.1
Hettmansperger, T.P.2
-
9
-
-
0041958932
-
Ideal spatial adaptation via wavelet shrinkages
-
[627,633]
-
Donoho, D., and Johnstone, I. (1994), "Ideal Spatial Adaptation via Wavelet Shrinkages," Biometrika, 81, 425-455. [627,633]
-
(1994)
Biometrika
, vol.81
, pp. 425-455
-
-
Donoho, D.1
Johnstone, I.2
-
10
-
-
3242708140
-
Least angle regression
-
[628]
-
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R. (2004), "Least Angle Regression," The Annals of Statistics, 32, 407-499. [628]
-
(2004)
The Annals of Statistics
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
11
-
-
53849086824
-
Sure independence screening for ultrahigh dimensional feature space
-
[636]
-
Fan, J., and Lv, J. (2008), "Sure Independence Screening for Ultrahigh Dimensional Feature Space," Journal of the Royal Statistical Society, Ser. B, 70 (5), 849-911. [636]
-
(2008)
Journal of the Royal Statistical Society, Ser. B
, vol.70
, Issue.5
, pp. 849-911
-
-
Fan, J.1
Lv, J.2
-
12
-
-
79960149538
-
-
technical report, University Joseph Fourier, Grenoble, France, [626,628,629]
-
Gannaz, I. (2006), "Robust Estimation and Wavelet Thresholding in Partial Linear Models," technical report, University Joseph Fourier, Grenoble, France. [626,628,629]
-
(2006)
Robust Estimation and Wavelet Thresholding in Partial Linear Models
-
-
Gannaz, I.1
-
13
-
-
0036282009
-
A class of robust and fully efficient regression estimators
-
[633]
-
Gervini, D., and Yohai, V. J. (2002), "A Class of Robust and Fully Efficient Regression Estimators," The Annals of Statistics, 30 (2), 583-616. [633]
-
(2002)
The Annals of Statistics
, vol.30
, Issue.2
, pp. 583-616
-
-
Gervini, D.1
Yohai, V.J.2
-
14
-
-
21344485226
-
Procedures for the identification of multiple outliers in linear models
-
[627]
-
Hadi, A. S., and Simonoff, J. S. (1993), "Procedures for the Identification of Multiple Outliers in Linear Models," Journal of the American Statistical Association, 88 (424), 1264-1272. [627]
-
(1993)
Journal of the American Statistical Association
, vol.88
, Issue.424
, pp. 1264-1272
-
-
Hadi, A.S.1
Simonoff, J.S.2
-
15
-
-
0002957588
-
A more robust outlier identifier for regression data
-
[627,633]
-
Hadi, A. S., and Simonoff, J. S. (1997), "A More Robust Outlier Identifier for Regression Data," Bulletin of the International Statistical Institute, 281-282. [627,633]
-
(1997)
Bulletin of the International Statistical Institute
, pp. 281-282
-
-
Hadi, A.S.1
Simonoff, J.S.2
-
16
-
-
0003841907
-
-
New York: Wiley, [626,630,631]
-
Hampel, F. R., Ronchetti, E. M., Rousseeuw, P. J., and Stahel, W. A. (1986), Robust Statistics: The Approach Based on Influence Functions, New York: Wiley. [626,630,631]
-
(1986)
Robust Statistics: The Approach Based on Influence Functions
-
-
Hampel, F.R.1
Ronchetti, E.M.2
Rousseeuw, P.J.3
Stahel, W.A.4
-
17
-
-
0021482113
-
Location of several outliers in multiple-regression data using elemental sets
-
[627]
-
Hawkins, D. M., Bradu, D., and Kass, G. V. (1984), "Location of Several Outliers in Multiple-Regression Data Using Elemental Sets," Technometrics, 26 (3), 197-208. [627]
-
(1984)
Technometrics
, vol.26
, Issue.3
, pp. 197-208
-
-
Hawkins, D.M.1
Bradu, D.2
Kass, G.V.3
-
18
-
-
0004262735
-
-
New York: Wiley, [627,629,630,638]
-
Huber, P. J. (1981), Robust Statistics, New York: Wiley. [627,629,630,638]
-
(1981)
Robust Statistics
-
-
Huber, P.J.1
-
19
-
-
84947338420
-
-
Chichester: Wiley, [627,633]
-
Maronna, R. A., Martin, D. R., and Yohai, V. J. (2006), Robust Statistics: Theory and Methods, Chichester: Wiley. [627,633]
-
(2006)
Robust Statistics: Theory and Methods
-
-
Maronna, R.A.1
Martin, D.R.2
Yohai, V.J.3
-
20
-
-
34548356964
-
Robust variable selection using least angle regression and elemental set sampling
-
[626,628]
-
McCann, L., andWelsch, R. E. (2007), "Robust Variable Selection Using Least Angle Regression and Elemental Set Sampling," Computational Statistics & Data Analysis, 52 (1), 249-257. [626,628]
-
(2007)
Computational Statistics & Data Analysis
, vol.52
, Issue.1
, pp. 249-257
-
-
McCann, L.1
Andwelsch, R.E.2
-
21
-
-
77955342631
-
A diagnostic method for simultaneous feature selection and outlier identification in linear regression
-
[627]
-
Menjoge, R. S., and Welsch, R. E. (2010), "A Diagnostic Method for Simultaneous Feature Selection and Outlier Identification in Linear Regression," Computational Statistics & Data Analysis, 54, 3181-3193. [627]
-
(2010)
Computational Statistics & Data Analysis
, vol.54
, pp. 3181-3193
-
-
Menjoge, R.S.1
Welsch, R.E.2
-
22
-
-
77955405267
-
Outlier detection and least trimmed squares approximation using semi-definite programming
-
[627]
-
Nguyen, T., and Welsch, R. (2010), "Outlier Detection and Least Trimmed Squares Approximation Using Semi-Definite Programming," Computational Statistics & Data Analysis, 54 (12), 3212-3226. [627]
-
(2010)
Computational Statistics & Data Analysis
, vol.54
, Issue.12
, pp. 3212-3226
-
-
Nguyen, T.1
Welsch, R.2
-
23
-
-
0001045983
-
The detection of influential subsets in linear regression by using an influence matrix
-
[627,633]
-
Peña, D., and Yohai, V. J. (1995), "The Detection of Influential Subsets in Linear Regression by Using an Influence Matrix," Journal of the Royal Statistical Society, Ser. B, 57 (1), 145-156. [627,633]
-
(1995)
Journal of the Royal Statistical Society, Ser. B
, vol.57
, Issue.1
, pp. 145-156
-
-
Peña, D.1
Yohai, V.J.2
-
24
-
-
0042295202
-
A fast procedure for outlier diagnostics in large regression problems
-
[627,631,633,637]
-
Peña, D., and Yohai, V. J. (1999), "A Fast Procedure for Outlier Diagnostics in Large Regression Problems," Journal of the American Statistical Association, 94 (446), 434-445. [627,631,633,637]
-
(1999)
Journal of the American Statistical Association
, vol.94
, Issue.446
, pp. 434-445
-
-
Peña, D.1
Yohai, V.J.2
-
25
-
-
35748932852
-
-
R Development Core Team, Vienna, Austria: R Foundation for Statistical Computing. Available at, [633]
-
R Development Core Team (2007), R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing. Available at http://www.Rproject.org. ISBN 3-900051-07-0. [633]
-
(2007)
R: A Language and Environment for Statistical Computing
-
-
-
27
-
-
0003681739
-
-
NewYork: Wiley, [626-628,633]
-
Rousseeuw, P. J., and Leroy, A. M. (1987), Robust Regression and Outlier Detection. Wiley Series in Probability and Mathematical Statistics, NewYork: Wiley. [626-628,633]
-
(1987)
Robust Regression and Outlier Detection. Wiley Series in Probability and Mathematical Statistics
-
-
Rousseeuw, P.J.1
Leroy, A.M.2
-
28
-
-
23244450905
-
Computing LTS regression for large data sets
-
[637]
-
Rousseeuw, P., and Van Driessen, K. (2002), "Computing LTS Regression for Large Data Sets," Estadistica, 54, 163-190. [637]
-
(2002)
Estadistica
, vol.54
, pp. 163-190
-
-
Rousseeuw, P.1
van Driessen, K.2
-
29
-
-
0001512292
-
Robust regression by means of S-estimators
-
New York: Springer, [627]
-
Rousseeuw, P., and Yohai, V. (1984), "Robust Regression by Means of S- Estimators," in Robust and Nonlinear Time Series Analysis (Heidelberg, 1983). Lecture Notes in Statistics, Vol. 26, New York: Springer, pp. 256-272. [627]
-
(1984)
Robust and Nonlinear Time Series Analysis (Heidelberg, 1983). Lecture Notes in Statistics
, vol.26
, pp. 256-272
-
-
Rousseeuw, P.1
Yohai, V.2
-
30
-
-
33745297800
-
A fast algorithm for S- regression estimates
-
[633,637]
-
Salibian-Barrera, M., and Yohai, V. J. (2006), "A Fast Algorithm for S- Regression Estimates," Journal of Computational and Graphical Statistics, 15, 414-427. [633,637]
-
(2006)
Journal of Computational and Graphical Statistics
, vol.15
, pp. 414-427
-
-
Salibian-Barrera, M.1
Yohai, V.J.2
-
31
-
-
0032486019
-
A clustering algorithm for identifying multiple outliers in linear regression
-
[627]
-
Serbert, D., Montgomery, D., and Rollier, D. (1998), "A Clustering Algorithm for Identifying Multiple Outliers in Linear Regression," Computational Statistics & Data Analysis, 27, 461-484. [627]
-
(1998)
Computational Statistics & Data Analysis
, vol.27
, pp. 461-484
-
-
Serbert, D.1
Montgomery, D.2
Rollier, D.3
-
32
-
-
79952701411
-
Thresholding-based iterative selection procedures for model selection and shrinkage
-
[629, 631,636,637]
-
She, Y. (2009), "Thresholding-Based Iterative Selection Procedures for Model Selection and Shrinkage," Electronic Journal of Statistics, 3, 384-415. [629, 631,636,637]
-
(2009)
Electronic Journal of Statistics
, vol.3
, pp. 384-415
-
-
She, Y.1
-
33
-
-
84947402121
-
Rectangular confidence regions for the means of multivariate normal distribution
-
[628]
-
Šidák, Z. (1967), "Rectangular Confidence Regions for the Means of Multivariate Normal Distribution," Journal of the American Statistical Association, 62, 626-633. [628]
-
(1967)
Journal of the American Statistical Association
, vol.62
, pp. 626-633
-
-
Šidák, Z.1
-
34
-
-
84950421188
-
On one-step GM estimates and stability of inferences in linear regression
-
[627]
-
Simpson, D. G., Ruppert, D., and Carroll, R. J. (1992), "On One-Step GM Estimates and Stability of Inferences in Linear Regression," Journal of the American Statistical Association, 87 (418), 439-450. [627]
-
(1992)
Journal of the American Statistical Association
, vol.87
, Issue.418
, pp. 439-450
-
-
Simpson, D.G.1
Ruppert, D.2
Carroll, R.J.3
-
35
-
-
84946656799
-
The analysis of disturbances in regression analysis
-
[631]
-
Theil, H. (1965), "The Analysis of Disturbances in Regression Analysis," Journal of the American Statistical Association, 60 (312), 1067-1079. [631]
-
(1965)
Journal of the American Statistical Association
, vol.60
, Issue.312
, pp. 1067-1079
-
-
Theil, H.1
-
38
-
-
0035962712
-
A Comparative analysis of multiple outlier detection procedures in the linear regression model
-
[626]
-
Wisnowski, J. W., Montgomery, D. C., and Simpson, J. R. (2001), "A Comparative Analysis of Multiple Outlier Detection Procedures in the Linear Regression Model," Computational Statistics & Data Analysis, 36 (3), 351-382. [626]
-
(2001)
Computational Statistics & Data Analysis
, vol.36
, Issue.3
, pp. 351-382
-
-
Wisnowski, J.W.1
Montgomery, D.C.2
Simpson, J.R.3
-
39
-
-
0001742386
-
High breakdown-point and high efficiency robust estimates for regression
-
[627,633]
-
Yohai, V. J. (1987), "High Breakdown-Point and High Efficiency Robust Estimates for Regression," The Annals of Statistics, 15 (2), 642-656. [627,633]
-
(1987)
The Annals of Statistics
, vol.15
, Issue.2
, pp. 642-656
-
-
Yohai, V.J.1
-
40
-
-
50949096321
-
The sparsity and bias of the lasso selection in high-dimensional linear regression
-
[637]
-
Zhang, C.-H., and Huang, J. (2008), "The Sparsity and Bias of the Lasso Selection in High-Dimensional Linear Regression," The Annals of Statistics, 36, 1567-1594. [637]
-
(2008)
The Annals of Statistics
, vol.36
, pp. 1567-1594
-
-
Zhang, C.-H.1
Huang, J.2
-
41
-
-
33845263263
-
On model selection consistency of lasso
-
[637]
-
Zhao, P., and Yu, B. (2006), "On Model Selection Consistency of Lasso," Journal of Machine Learning Research, 7, 2541-2563. [637]
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2541-2563
-
-
Zhao, P.1
Yu, B.2
-
42
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
[636]
-
Zou, H., and Hastie, T. (2005), "Regularization and Variable Selection via the Elastic Net," Journal of the Royal Statistical Society, Ser. B, 67 (2), 301-320. [636]
-
(2005)
Journal of the Royal Statistical Society, Ser. B
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|