Check mathematics papers: citations, claims and retractions

Random Forests

Breiman, L. (2001) · Machine Learning

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 133,538

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods in Clinical TrialsStatistical Methods and Inference

Cited by 109,482

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 91,542

The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations

Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 91,532

Fitting Linear Mixed-Effects Models Using lme4

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software

Statistical Methods and Bayesian InferenceData Analysis with R

Cited by 86,835

Convex Optimization

Boyd, S., & Vandenberghe, L. (2004) · Cambridge University Press eBooks

Advanced Optimization Algorithms ResearchOptimization and Variational Analysis

Cited by 56,601

XGBoost: A Scalable Tree Boosting System

Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 54,569

A new look at the statistical model identification

Akaike, H. (1974) · IEEE Transactions on Automatic Control

Statistical Methods and InferenceControl Systems and Identification

Cited by 51,879

Regression shrinkage and selection via the lasso

Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods and InferenceAdvanced Statistical Methods and Models

Cited by 51,482

Estimating the Dimension of a Model

Schwarz, G. (1978) · The Annals of Statistics

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 47,033

Model selection and multimodel inference: a practical information-theoretic approach.

Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

Cited by 41,495

An Introduction to the Bootstrap

Efron, B., & Tibshirani, R. J. (1994) · Chapman & Hall/CRC eBooks

Statistical Methods and InferenceMarkov Chains and Monte Carlo Methods

Cited by 40,500

Regression Models and Life-Tables

Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods and InferenceStatistical Distribution Estimation and Applications

Cited by 39,793

Nonparametric Estimation from Incomplete Observations

Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association

Statistical Distribution Estimation and ApplicationsProbability and Statistical Research

Cited by 39,158

Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses

Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 37,615

Applied logistic regression

Hosmer, D. W., Lemeshow, S. A., & Sturdivant, R. X. (1990) · Choice Reviews Online

Statistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

Cited by 35,305

Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 34,117

The central role of the propensity score in observational studies for causal effects

ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 31,241

Greedy function approximation: A gradient boosting machine

Friedman, J. H. (2001) · The Annals of Statistics

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 30,731

An Algorithm for Least-Squares Estimation of Nonlinear Parameters

Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics

Statistical and numerical algorithmsAdvanced Optimization Algorithms Research

Cited by 30,728

A Simplex Method for Function Minimization

Nelder, J. A., & Mead, R. (1965) · The Computer Journal

Advanced Optimization Algorithms ResearchMetaheuristic Optimization Algorithms Research

Cited by 28,905

Sample Selection Bias as a Specification Error

Heckman, J. J. (1979) · Econometrica

Advanced Causal Inference TechniquesSurvey Sampling and Estimation Techniques

Cited by 28,779

Bayesian Data Analysis

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) · Chapman & Hall/CRC eBooks

Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 27,276

Bayesian Data Analysis

Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · Chapman & Hall/CRC eBooks

Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods

Cited by 27,276