Statistics Papers
|
45,043 |
Nonparametric estimation from incomplete observations |
E.L. Kaplan P. Meir |
40,685 |
Maximum likelihood from incomplete data via the EM algorithm |
A.P. Dempster N.M. Laird D.B. Rubin |
30,766 |
Statistical methods for assessing agreement between two methods of clinical measurement |
J.M. Bland D.G. Altman |
17,883 |
Fast algorithms for mining association rules |
R. Agrawal R. Srikant |
16,865 |
Support Vector Networks |
V.N. Vapnik |
15,721 |
Mining association rules between sets of items in large databases |
R. Agrawal T. Imieliński A. Swami |
14,834 |
Common method biases in behavioral research: a critical review of the literature and recommended remedies |
P.M. Podsakoff S.B. MacKenzie J.Y. Lee N.P. Podsakoff |
13,895 |
A fast and elitist multiobjective genetic algorithm: NSGA-II |
Kalyanmoy Deb Amrit Pratap Sameer Agarwal T. Meyarivan |
12,624 |
Regression shrinkage and selection via the lasso |
R. Tibshirani |
12,060 |
Measuring inconsistency in meta-analyses |
J.P. Higgins S.G. Thompson J.J. Deeks D.G. Altman |
11,524 |
Bootstrap methods: another look at the jackknife |
B. Efron |
10,890 |
Latent dirichlet allocation |
D.M. Blei A.Y. Ng M.I. Jordan R. Tibshirani |
10,119 |
Data Clustering: A Review |
A.K. Jain M.N. Murty P.J. Flynn |
7,564 |
Statistical parametric maps in functional imaging: a general linear approach |
K.J.Friston A.P. Holmes K.J.Worsley J.P.Poline C.D. Frith R.S.J. Frackowiak |
6,432 |
A training algorithm for optimal margin classifiers |
B.E. Boser I.M. Guyon V.N. Vapnik |
5,917 |
Mining frequent patterns without candidate generation |
Jiawei Han Jian Pei Yiwen Yin |
5,706 |
Nonlinear component analysis as a kernel eigenvalue problem |
B.Schölkopf A. Smola K.R. Müller |
5,331 |
Statistical pattern recognition: A review |
A.K. Jain R.P.W. Duin J. Mao |
4,972 |
Upper and lower probabilities induced by a multivalued mapping |
A.P. Dempster |
4,875 |
A tutorial on support vector regression |
Alex J Smola Bernhard Schölkopf |
4,827 |
Least Angle Regression |
B. Efron T. Hastie I. Johnstone R. Tibshirani |
4,470 |
Additive logistic regression: a statistical view of boosting |
J. Friedman T. Hastie R. Tibshirani |
Statistics Books
|
55,917 |
Statistical Learning Theory |
V.N. Vapnik |
28,372 |
An introduction to the bootstrap |
R. Tibshirani |
22,913 |
Neural networks for pattern recognition |
Christopher M. Bishop |
22,820 |
The elements of statistical learning |
R. Tibshirani |
16,940 |
Statistical analysis with missing data |
D.B. Rubin |
15,944 |
Pattern recognition and machine learning |
Christopher M. Bishop |
14,705 |
Bayesian data analysis |
D.B. Rubin |
14,445 |
Practical statistics for medical research |
D.G. Altman |
11,633 |
Generalized Additive Models |
R. Tibshirani |
10,234 |
Multiple imputation for nonresponse in surveys |
D.B. Rubin |
10,233 |
Multi-objective optimization using evolutionary algorithms |
Kalyanmoy Deb |
Curated by: Subasish Das