Most cited papers in Bayesian Methods and Mixture Models
What are the most cited papers in Bayesian Methods and Mixture Models?
The most cited paper in Bayesian Methods and Mixture Models is "Regression Shrinkage and Selection Via the Lasso" (Robert John Tibshirani, 1996), with 53,131 citations. Next come "CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP" (41,763) and "Latent dirichlet allocation" (27,026).
Showing 50 of 97 papers. Every paper with more than 1,982 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Regression Shrinkage and Selection Via the Lasso Robert John Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 1996 | 53,131 |
| 2 | CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP Joseph Felsenstein · Evolution | Jul 1985 | 41,763 |
| 3 | Latent dirichlet allocation David M. Blei, Andrew Y. Ng, Michael I. Jordan · Journal of Machine Learning Research | Mar 2003 | 27,026 |
| 4 | Distribution of the Estimators for Autoregressive Time Series with a Unit Root David Alan Dickey, Wayne Arthur Fuller · Journal of the American Statistical Association | Jun 1979 | 23,250 |
| 5 | A tutorial on hidden Markov models and selected applications in speech recognition L. R. Rabiner · Proceedings of the IEEE | 1989 | 22,958 |
| 6 | MRBAYES: Bayesian inference of phylogenetic trees John P. Huelsenbeck, Fredrik Ronquist · Bioinformatics | Aug 2001 | 22,339 |
| 7 | Auto-Encoding Variational Bayes Diederik P. Kingma, Max Welling · UvA-DARE (University of Amsterdam) | 20 Dec 2013 | 15,541 |
| 8 | Monte Carlo sampling methods using Markov chains and their applications W. Keith Hastings · Biometrika | Apr 1970 | 15,456 |
| 9 | Hierarchical Linear Models: Applications and Data Analysis Methods Marie Davidian · Journal of the American Statistical Association | Sep 2003 | 13,916 |
| 10 | Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde Gelfand, A. E., Trevisani, M. · ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) | 2002 | 12,900 |
| 11 | A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking M.S. Arulampalam, Simon R. Maskell, Neil Gordon et al. · IEEE Transactions on Signal Processing | 2002 | 11,594 |
| 12 | Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study Karen Nylund‐Gibson, Tihomir Asparouhov, Bengt Muthén · Structural Equation Modeling A Multidisciplinary Journal | 23 Oct 2007 | 11,377 |
| 13 | Missing data: Our view of the state of the art. Joseph L. Schafer, J. A. Graham · Psychological Methods | 2002 | 11,073 |
| 14 | Data clustering: 50 years beyond K-means Anil Kumar Jain · Pattern Recognition Letters | 10 Sep 2009 | 9,458 |
| 15 | Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences Freda Kemp · Journal of the Royal Statistical Society Series D (The Statistician) | 21 Nov 2003 | 9,378 |
| 16 | Comparing partitions Lawrence J. Hubert, Phipps Arabie · Journal of Classification | Dec 1985 | 8,084 |
| 17 | Algorithms for Clustering Data Warren S. Sarle, Anil K. Jain, Richard C. Dubes · Technometrics | May 1990 | 7,829 |
| 18 | Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm Yuntang Zhang, Michael Brady, Stephen M. Smith · IEEE Transactions on Medical Imaging | 2001 | 7,426 |
| 19 | Generalized Linear Models John Ashworth Nelder, R. W. M. Wedderburn · Journal of the Royal Statistical Society Series A (General) | 1972 | 7,300 |
| 20 | Applied Missing Data Analysis Craig K. Enders | 23 Apr 2010 | 6,889 |
| 21 | Sampling-Based Approaches to Calculating Marginal Densities Alan E. Gelfand, A. F. M. Smith · Journal of the American Statistical Association | Jun 1990 | 6,716 |
| 22 | Permutation tests for joinpoint regression with applications to cancer rates Hyune-Ju Kim, Michael P. Fay, Eric J. Feuer et al. · Statistics in Medicine | 15 Feb 2000 | 6,278 |
| 23 | Objective Criteria for the Evaluation of Clustering Methods William M. Rand · Journal of the American Statistical Association | Dec 1971 | 6,021 |
| 24 | Reversible jump Markov chain Monte Carlo computation and Bayesian model determination Peter J. Green · Biometrika | 1995 | 5,963 |
| 25 | Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations Håvard Rue, Sara Martino, Nicolas Chopin · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Apr 2009 | 5,508 |
| 26 | Discriminant analysis of principal components: a new method for the analysis of genetically structured populations Thibaut Jombart, Sébastien Devillard, François Balloux · BMC Genetics | 2010 | 5,232 |
| 27 | Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Trisha L. Bailey, Charles Elkan · PubMed | 1994 | 5,115 |
| 28 | Clustering by fast search and find of density peaks Alex C. Rodriguez, Alessandro Laio · Science | 26 Jun 2014 | 5,064 |
| 29 | Testing the number of components in a normal mixture Yungtai Lo · Biometrika | Oct 2001 | 4,649 |
| 30 | On sequential Monte Carlo sampling methods for Bayesian filtering Arnaud Doucet, Simon Godsill, Christophe Andrieu · Statistics and Computing | Jul 2000 | 4,472 |
| 31 | Model-Based Clustering, Discriminant Analysis, and Density Estimation Chris Fraley, Adrian E. Raftery · Journal of the American Statistical Association | Jun 2002 | 4,370 |
| 32 | Missing value estimation methods for DNA microarrays Olga G. Troyanskaya, Michael N Cantor, Gavin J. Sherlock et al. · Bioinformatics | Jun 2001 | 4,354 |
| 33 | phangorn: phylogenetic analysis in R Klaus Peter Schliep · Bioinformatics | 17 Dec 2010 | 4,160 |
| 34 | A spatial scan statistic Martin Kulldorff · Communication in Statistics- Theory and Methods | 1997 | 4,062 |
| 35 | Flexible paleoclimate age-depth models using an autoregressive gamma process Maarten Blaauw, J. Andrés Christen · Bayesian Analysis | Sep 2011 | 3,925 |
| 36 | An Examination of Procedures for Determining the Number of Clusters in a Data Set Glenn W. Milligan, Martha C. Cooper · Psychometrika | Jun 1985 | 3,910 |
| 37 | Variational Inference: A Review for Statisticians David M. Blei, Alp Kucukelbir, Jon D. McAuliffe · Journal of the American Statistical Association | 27 Feb 2017 | 3,893 |
| 38 | Permutation inference for the general linear model Anderson M. Winkler, Gerard R. Ridgway, Matthew Webster et al. · NeuroImage | 11 Feb 2014 | 3,891 |
| 39 | An Introduction to Variational Methods for Graphical Models Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola et al. · Machine Learning | Nov 1999 | 3,812 |
| 40 | The Calculation of Posterior Distributions by Data Augmentation Martin A. Tanner, Wing Hung Wong · Journal of the American Statistical Association | Jun 1987 | 3,801 |
| 41 | Understanding the Metropolis-Hastings Algorithm Siddhartha Chib, Edward Greenberg · The American Statistician | Nov 1995 | 3,756 |
| 42 | Multiple imputation by chained equations: what is it and how does it work? Melissa J. Azur, Elizabeth A. Stuart, Constantine Frangakis et al. · International Journal of Methods in Psychiatric Research | 24 Feb 2011 | 3,633 |
| 43 | Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus Tihomir Asparouhov, Bengt Muthén · Structural Equation Modeling A Multidisciplinary Journal | 9 Jun 2014 | 3,544 |
| 44 | The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo Matthew D. Homan, Andrew Gelman · arXiv (Cornell University) | 2014 | 3,272 |
| 45 | Ensemble samplers with affine invariance Jonathan B. Goodman, Jonathan Weare · Communications in Applied Mathematics and Computational Science | 31 Jan 2010 | 3,183 |
| 46 | Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible Paul J. McMurdie, Susan Holmes · PLoS Computational Biology | 3 Apr 2014 | 3,165 |
| 47 | Bayesian Analysis of Binary and Polychotomous Response Data James H. Albert, Siddhartha Chib · Journal of the American Statistical Association | Jun 1993 | 3,137 |
| 48 | Approximate Bayesian Computation in Population Genetics Mark Beaumont, Wenyang Zhang, David J. Balding · Genetics | Dec 2002 | 3,126 |
| 49 | Statistical Analysis with Missing Data Subir Ghosh, Roderick J. A. Little, Donald B. Rubin · Technometrics | Nov 1988 | 3,124 |
| 50 | A maximum entropy approach to natural language processing Adam L. Berger, Vincent J. Della Pietra, Stephen A. Della Pietra | Mar 1996 | 3,116 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.