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Hastie, Trevor John

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Author ID: hastie.trevor-j Recent zbMATH articles by "Hastie, Trevor John"
Published as: Hastie, T. J.; Hastie, Trevor; Hastie, Trevor J.
Homepage: https://web.stanford.edu/~hastie/
External Links: MGP · Wikidata · ORCID · dblp · GND
Documents Indexed: 87 Publications since 1986, including 8 Books

Publications by Year

Citations contained in zbMATH Open

76 Publications have been cited 8,446 times in 6,244 Documents Cited by Year
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
933
2009
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
898
2004
Regularization and variable selection via the elastic net. Zbl 1069.62054
Zou, Hui; Hastie, Trevor
841
2005
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
399
1993
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
396
2008
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
258
2007
Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
245
2000
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
184
1989
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
162
2001
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
153
2007
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
120
2015
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
113
1995
Principal curves. Zbl 0679.62048
Hastie, Trevor; Stuetzle, Werner
106
1989
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
103
1987
Principal component models for sparse functional data. Zbl 0962.62056
James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A.
101
2000
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
94
1986
SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091
Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor
81
2011
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
79
2013
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
67
1998
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
66
2004
Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036
James, Gareth M.; Hastie, Trevor J.
66
2001
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
66
1996
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
63
2010
Statistical models in \(S\). Zbl 0776.62007
Chambers, John M. (ed.); Hastie, Trevor J. (ed.)
61
1992
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
57
2007
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
55
1994
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
52
2006
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
38
2003
Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406
Zhu, Ji; Hastie, Trevor
36
2004
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
29
1986
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
26
2000
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
26
1987
Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004
Efron, Bradley; Hastie, Trevor
23
2016
Reduced-rank vector generalized linear models. Zbl 1195.62123
Yee, Thomas W.; Hastie, Trevor J.
22
2003
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
21
2007
The graphical lasso: new insights and alternatives. Zbl 1295.62066
Mazumder, Rahul; Hastie, Trevor
19
2012
Penalized logistic regression for detecting gene interactions. Zbl 1274.62853
Park, Mee Young; Hastie, Trevor
18
2008
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
18
2008
Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290
Rosset, Saharon; Zhu, Ji; Hastie, Trevor
18
2004
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132
Wager, Stefan; Hastie, Trevor; Efron, Bradley
17
2014
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
16
2003
Multi-class AdaBoost. Zbl 1245.62080
Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor
15
2009
Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117
Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza
14
2015
Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213
Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J.
14
2012
The geometric interpretation of correspondence analysis. Zbl 0622.62006
Greenacre, Michael; Hastie, Trevor
14
1987
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
13
2004
Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038
Cantoni, Eva; Hastie, Trevor
13
2002
Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148
Mazumder, Rahul; Hastie, Trevor
12
2012
Presence-only data and the EM algorithm. Zbl 1167.62098
Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R.
11
2009
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
11
2007
Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132
Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J.
10
2004
Pseudosplines. Zbl 0853.62035
Hastie, Trevor
10
1996
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
9
2009
Metrics and models for handwritten character recognition. Zbl 0966.68186
Hastie, Trevor; Simard, Patrice Y.
9
1998
New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044
Zou, Hui; Zhu, Ji; Hastie, Trevor
8
2008
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Confounder adjustment in multiple hypothesis testing. Zbl 06821112
Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B.
7
2017
Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096
Fithian, William; Hastie, Trevor
7
2014
A closer look at the deviance. Zbl 0607.62084
Hastie, Trevor
7
1987
Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167
Hastie, Trevor
6
2007
Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251
Janson, Lucas; Fithian, William; Hastie, Trevor J.
5
2015
Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225
Fithian, William; Hastie, Trevor
5
2013
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
5
2004
Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180
Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert
4
2009
Nonlinear estimators and tail bounds for dimension reduction in \(l _{1}\) using Cauchy random projections. Zbl 1203.68160
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
2
2007
Comment on: “Support vector machines with applications”. Zbl 1246.68180
Hastie, Trevor; Zhu, Ji
2
2006
Improving random projections using marginal information. Zbl 1143.68547
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
2
2006
Exploratory screening of genes and clusters from microarray experiments. Zbl 1004.62085
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Eisen, Michael; Sherlock, Gavin; Brown, Pat; Botstein, David
2
2002
A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247
Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert
1
2011
Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043
Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor
1
2007
Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983
Zhu, Ji; Hastie, Trevor
1
2002
Nonparametric regression and classification. II: Nonparametric classification. Zbl 0825.62449
Hastie, T. J.; Tibshirani, R. J.
1
1994
Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448
Hastie, T. J.; Tibshirani, R. J.
1
1994
Confounder adjustment in multiple hypothesis testing. Zbl 06821112
Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B.
7
2017
Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004
Efron, Bradley; Hastie, Trevor
23
2016
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
120
2015
Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117
Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza
14
2015
Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251
Janson, Lucas; Fithian, William; Hastie, Trevor J.
5
2015
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132
Wager, Stefan; Hastie, Trevor; Efron, Bradley
17
2014
Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096
Fithian, William; Hastie, Trevor
7
2014
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
79
2013
Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225
Fithian, William; Hastie, Trevor
5
2013
The graphical lasso: new insights and alternatives. Zbl 1295.62066
Mazumder, Rahul; Hastie, Trevor
19
2012
Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213
Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J.
14
2012
Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148
Mazumder, Rahul; Hastie, Trevor
12
2012
SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091
Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor
81
2011
A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247
Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert
1
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
63
2010
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
933
2009
Multi-class AdaBoost. Zbl 1245.62080
Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor
15
2009
Presence-only data and the EM algorithm. Zbl 1167.62098
Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R.
11
2009
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
9
2009
Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180
Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert
4
2009
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
396
2008
Penalized logistic regression for detecting gene interactions. Zbl 1274.62853
Park, Mee Young; Hastie, Trevor
18
2008
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
18
2008
New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044
Zou, Hui; Zhu, Ji; Hastie, Trevor
8
2008
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
258
2007
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
153
2007
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
57
2007
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
21
2007
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
11
2007
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167
Hastie, Trevor
6
2007
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Nonlinear estimators and tail bounds for dimension reduction in \(l _{1}\) using Cauchy random projections. Zbl 1203.68160
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
2
2007
Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043
Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor
1
2007
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
52
2006
Comment on: “Support vector machines with applications”. Zbl 1246.68180
Hastie, Trevor; Zhu, Ji
2
2006
Improving random projections using marginal information. Zbl 1143.68547
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
2
2006
Regularization and variable selection via the elastic net. Zbl 1069.62054
Zou, Hui; Hastie, Trevor
841
2005
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
898
2004
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
66
2004
Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406
Zhu, Ji; Hastie, Trevor
36
2004
Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290
Rosset, Saharon; Zhu, Ji; Hastie, Trevor
18
2004
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
13
2004
Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132
Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J.
10
2004
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
5
2004
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
38
2003
Reduced-rank vector generalized linear models. Zbl 1195.62123
Yee, Thomas W.; Hastie, Trevor J.
22
2003
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
16
2003
Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038
Cantoni, Eva; Hastie, Trevor
13
2002
Exploratory screening of genes and clusters from microarray experiments. Zbl 1004.62085
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Eisen, Michael; Sherlock, Gavin; Brown, Pat; Botstein, David
2
2002
Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983
Zhu, Ji; Hastie, Trevor
1
2002
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
162
2001
Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036
James, Gareth M.; Hastie, Trevor J.
66
2001
Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
245
2000
Principal component models for sparse functional data. Zbl 0962.62056
James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A.
101
2000
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
26
2000
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
67
1998
Metrics and models for handwritten character recognition. Zbl 0966.68186
Hastie, Trevor; Simard, Patrice Y.
9
1998
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
66
1996
Pseudosplines. Zbl 0853.62035
Hastie, Trevor
10
1996
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
113
1995
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
55
1994
Nonparametric regression and classification. II: Nonparametric classification. Zbl 0825.62449
Hastie, T. J.; Tibshirani, R. J.
1
1994
Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448
Hastie, T. J.; Tibshirani, R. J.
1
1994
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
399
1993
Statistical models in \(S\). Zbl 0776.62007
Chambers, John M. (ed.); Hastie, Trevor J. (ed.)
61
1992
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
184
1989
Principal curves. Zbl 0679.62048
Hastie, Trevor; Stuetzle, Werner
106
1989
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
103
1987
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
26
1987
The geometric interpretation of correspondence analysis. Zbl 0622.62006
Greenacre, Michael; Hastie, Trevor
14
1987
A closer look at the deviance. Zbl 0607.62084
Hastie, Trevor
7
1987
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
94
1986
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
29
1986
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22 Hastie, Trevor John
22 Weber, Gerhard-Wilhelm
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all top 5

Cited in 422 Serials

523 Computational Statistics and Data Analysis
282 The Annals of Statistics
223 Journal of Multivariate Analysis
190 The Annals of Applied Statistics
177 Biometrics
172 Electronic Journal of Statistics
153 Journal of Statistical Planning and Inference
151 Pattern Recognition
148 Statistics and Computing
146 Journal of the American Statistical Association
144 Journal of Statistical Computation and Simulation
123 Computational Statistics
112 Journal of Applied Statistics
106 Machine Learning
90 Statistics & Probability Letters
89 Communications in Statistics. Theory and Methods
82 European Journal of Operational Research
80 Journal of Econometrics
80 Communications in Statistics. Simulation and Computation
77 Journal of Machine Learning Research (JMLR)
76 Statistical Science
74 Journal of Nonparametric Statistics
68 Neural Computation
63 Statistical Analysis and Data Mining
61 Test
59 Annals of the Institute of Statistical Mathematics
59 Advances in Data Analysis and Classification. ADAC
58 Neural Networks
55 The Canadian Journal of Statistics
51 Information Sciences
49 Statistical Modelling
46 Journal of the Royal Statistical Society. Series B. Statistical Methodology
43 Mathematical Programming. Series A. Series B
42 Statistical Papers
40 Scandinavian Journal of Statistics
40 Biometrical Journal
40 Journal of the Korean Statistical Society
39 Journal of Classification
38 Journal of Agricultural, Biological, and Environmental Statistics
37 Bernoulli
36 SIAM Journal on Optimization
34 Automatica
32 Psychometrika
32 Journal of Computational and Applied Mathematics
27 SIAM Journal on Scientific Computing
26 Metrika
26 Applied Mathematics and Computation
26 Annals of Operations Research
26 Statistical Methodology
26 Computational & Mathematical Methods in Medicine
26 Bayesian Analysis
25 Applied and Computational Harmonic Analysis
25 Science China. Mathematics
24 Journal of Computational Physics
24 Computational Optimization and Applications
24 Quantitative Finance
23 Lifetime Data Analysis
22 Mathematical Problems in Engineering
22 Data Mining and Knowledge Discovery
22 Statistical Methods and Applications
21 Statistics
21 Statistical Applications in Genetics and Molecular Biology
21 AStA. Advances in Statistical Analysis
20 Acta Mathematicae Applicatae Sinica. English Series
18 Australian & New Zealand Journal of Statistics
17 Insurance Mathematics & Economics
17 Journal of the Royal Statistical Society. Series C. Applied Statistics
17 Journal of Theoretical Biology
16 Computer Methods in Applied Mechanics and Engineering
16 Computational Geosciences
15 Journal of Systems Science and Complexity
14 Theoretical Computer Science
14 Computers & Operations Research
14 Journal of Mathematical Imaging and Vision
14 Journal of Statistical Theory and Practice
14 Journal of Probability and Statistics
13 Artificial Intelligence
13 Inverse Problems
13 International Journal of Approximate Reasoning
13 Journal of Scientific Computing
13 Journal of Global Optimization
13 Optimization Methods & Software
13 Econometric Theory
13 Biostatistics
13 ASTIN Bulletin
13 Mathematical Geosciences
12 Fuzzy Sets and Systems
12 Economics Letters
12 International Journal of Computer Vision
12 Annals of Mathematics and Artificial Intelligence
12 Optimization Letters
12 Algorithms
12 Statistics Surveys
11 Applied Mathematical Modelling
11 Automation and Remote Control
11 Computational Management Science
11 SIAM/ASA Journal on Uncertainty Quantification
10 Mathematical Biosciences
10 Journal of Mathematical Psychology
10 Journal of Optimization Theory and Applications
...and 322 more Serials
all top 5

Cited in 52 Fields

4,912 Statistics (62-XX)
1,222 Numerical analysis (65-XX)
1,121 Computer science (68-XX)
557 Operations research, mathematical programming (90-XX)
405 Biology and other natural sciences (92-XX)
288 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
213 Probability theory and stochastic processes (60-XX)
161 Information and communication theory, circuits (94-XX)
113 Systems theory; control (93-XX)
83 Linear and multilinear algebra; matrix theory (15-XX)
77 Geophysics (86-XX)
71 Combinatorics (05-XX)
67 Calculus of variations and optimal control; optimization (49-XX)
46 Functional analysis (46-XX)
35 Operator theory (47-XX)
34 Approximations and expansions (41-XX)
31 Fluid mechanics (76-XX)
30 Dynamical systems and ergodic theory (37-XX)
28 Harmonic analysis on Euclidean spaces (42-XX)
20 General and overarching topics; collections (00-XX)
20 Partial differential equations (35-XX)
18 Mechanics of deformable solids (74-XX)
15 Statistical mechanics, structure of matter (82-XX)
13 Quantum theory (81-XX)
11 History and biography (01-XX)
9 Special functions (33-XX)
9 Astronomy and astrophysics (85-XX)
8 Algebraic topology (55-XX)
6 Ordinary differential equations (34-XX)
6 Convex and discrete geometry (52-XX)
6 Optics, electromagnetic theory (78-XX)
5 Differential geometry (53-XX)
5 Mathematics education (97-XX)
4 Geometry (51-XX)
3 Commutative algebra (13-XX)
3 Algebraic geometry (14-XX)
3 Real functions (26-XX)
3 Measure and integration (28-XX)
3 Integral transforms, operational calculus (44-XX)
3 Integral equations (45-XX)
3 Manifolds and cell complexes (57-XX)
3 Global analysis, analysis on manifolds (58-XX)
2 Mathematical logic and foundations (03-XX)
2 Group theory and generalizations (20-XX)
2 Mechanics of particles and systems (70-XX)
2 Relativity and gravitational theory (83-XX)
1 Order, lattices, ordered algebraic structures (06-XX)
1 Number theory (11-XX)
1 Field theory and polynomials (12-XX)
1 Potential theory (31-XX)
1 Abstract harmonic analysis (43-XX)
1 General topology (54-XX)

Citations by Year

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