| # | Title | Journal | Year | Citations |
|---|
| 1 | A tutorial on support vector regression | Statistics and Computing | 2004 | 8,373 |
| 2 | A tutorial on spectral clustering | Statistics and Computing | 2007 | 6,927 |
| 3 | WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility | Statistics and Computing | 2000 | 4,470 |
| 4 | On sequential Monte Carlo sampling methods for Bayesian filtering | Statistics and Computing | 2000 | 3,335 |
| 5 | A genetic algorithm tutorial | Statistics and Computing | 1994 | 3,018 |
| 6 | Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC | Statistics and Computing | 2017 | 2,776 |
| 7 | ADE-4: a multivariate analysis and graphical display software | Statistics and Computing | 1997 | 1,339 |
| 8 | Understanding predictive information criteria for Bayesian models | Statistics and Computing | 2014 | 1,337 |
| 9 | DRAM: Efficient adaptive MCMC | Statistics and Computing | 2006 | 1,198 |
| 10 | Genetic programming as a means for programming computers by natural selection | Statistics and Computing | 1994 | 877 |
| 11 | Estimation of prediction error by using K-fold cross-validation | Statistics and Computing | 2011 | 778 |
| 12 | Robust mixture modelling using the t distribution | Statistics and Computing | 2000 | 682 |
| 13 | A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces | Statistics and Computing | 2006 | 682 |
| 14 | Annealed importance sampling | Statistics and Computing | 2001 | 612 |
| 15 | A tutorial on adaptive MCMC | Statistics and Computing | 2008 | 570 |
| 16 | Correlation and variable importance in random forests | Statistics and Computing | 2017 | 498 |
| 17 | Approximating the Shapiro-Wilk W-test for non-normality | Statistics and Computing | 1992 | 481 |
| 18 | Approximate Bayesian computational methods | Statistics and Computing | 2012 | 464 |
| 19 | Bump hunting in high-dimensional data | Statistics and Computing | 1999 | 433 |
| 20 | Differential Evolution Markov Chain with snooker updater and fewer chains | Statistics and Computing | 2008 | 402 |
| 21 | Bayesian parameter estimation via variational methods | Statistics and Computing | 2000 | 383 |
| 22 | Simulation of truncated normal variables | Statistics and Computing | 1995 | 382 |
| 23 | Metropolized independent sampling with comparisons to rejection sampling and importance sampling | Statistics and Computing | 1996 | 381 |
| 24 | Unconstrained parametrizations for variance-covariance matrices | Statistics and Computing | 1996 | 368 |
| 25 | Simple boundary correction for kernel density estimation | Statistics and Computing | 1993 | 366 |
| 26 | Convergence assessment techniques for Markov chain Monte Carlo | Statistics and Computing | 1998 | 364 |
| 27 | ANOVA for unbalanced data: Use Type II instead of Type III sums of squares | Statistics and Computing | 2003 | 348 |
| 28 | Non-linear regression models for Approximate Bayesian Computation | Statistics and Computing | 2010 | 331 |
| 29 | Joint covariate selection and joint subspace selection for multiple classification problems | Statistics and Computing | 2010 | 325 |
| 30 | An adaptive sequential Monte Carlo method for approximate Bayesian computation | Statistics and Computing | 2012 | 315 |
| 31 | Exact and efficient Bayesian inference for multiple changepoint problems | Statistics and Computing | 2006 | 313 |
| 32 | Learning classification trees | Statistics and Computing | 1992 | 307 |
| 33 | A mixture model for random graphs | Statistics and Computing | 2008 | 303 |
| 34 | On Bayesian model and variable selection using MCMC | Statistics and Computing | 2002 | 298 |
| 35 | Computational methods for local regression | Statistics and Computing | 1991 | 268 |
| 36 | Design of computer experiments: space filling and beyond | Statistics and Computing | 2012 | 256 |
| 37 | Parsimonious Gaussian mixture models | Statistics and Computing | 2008 | 243 |
| 38 | Slice sampling mixture models | Statistics and Computing | 2011 | 224 |
| 39 | Series evaluation of Tweedie exponential dispersion model densities | Statistics and Computing | 2005 | 220 |
| 40 | Sampling from the posterior distribution in generalized linear mixed models | Statistics and Computing | 1997 | 217 |
| 41 | Sequential design of computer experiments for the estimation of a probability of failure | Statistics and Computing | 2012 | 206 |
| 42 | Model selection for probabilistic clustering using cross-validated likelihood | Statistics and Computing | 2000 | 204 |
| 43 | Applications of a general propagation algorithm for probabilistic expert systems | Statistics and Computing | 1992 | 202 |
| 44 | Numerical computation of rectangular bivariate and trivariate normal and t probabilities | Statistics and Computing | 2004 | 202 |
| 45 | Linear quantile mixed models | Statistics and Computing | 2014 | 202 |
| 46 | Sampling from multimodal distributions using tempered transitions | Statistics and Computing | 1996 | 200 |
| 47 | Robust mixture modeling using multivariate skew t distributions | Statistics and Computing | 2010 | 193 |
| 48 | Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors | Statistics and Computing | 2015 | 191 |
| 49 | Cases for the nugget in modeling computer experiments | Statistics and Computing | 2012 | 184 |
| 50 | Accelerating Monte Carlo Markov chain convergence for cumulative-link generalized linear models | Statistics and Computing | 1996 | 183 |
