A tutorial on spectral clustering | 2007/08/22 | English | 3,971 |
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC | 2016/08/30 | English | 2,343 |
Understanding predictive information criteria for Bayesian models | 2013/08/20 | English | 1,144 |
DRAM: Efficient adaptive MCMC | 2006/12/01 | English | 978 |
Estimation of prediction error by using K-fold cross-validation | 2009/10/10 | English | 622 |
A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces | 2006/09/01 | English | 570 |
A tutorial on adaptive MCMC | 2008/12/01 | English | 448 |
Correlation and variable importance in random forests | 2016/03/23 | English | 439 |
Approximate Bayesian computational methods | 2011/10/21 | English | 362 |
Differential Evolution Markov Chain with snooker updater and fewer chains | 2008/10/21 | English | 343 |
Non-linear regression models for Approximate Bayesian Computation | 2009/03/14 | English | 246 |
An adaptive sequential Monte Carlo method for approximate Bayesian computation | 2011/08/03 | English | 242 |
A mixture model for random graphs | 2007/12/11 | English | 231 |
Exact and efficient Bayesian inference for multiple changepoint problems | 2006/06/01 | English | 228 |
Design of computer experiments: space filling and beyond | 2011/04/01 | English | 201 |
Series evaluation of Tweedie exponential dispersion model densities | 2005/10/01 | English | 197 |
Slice sampling mixture models | 2009/09/19 | English | 196 |
Joint covariate selection and joint subspace selection for multiple classification problems | 2009/01/14 | English | 189 |
Parsimonious Gaussian mixture models | 2008/04/19 | English | 188 |
Linear quantile mixed models | 2013/02/20 | English | 179 |
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors | 2013/11/05 | English | 169 |
Sequential design of computer experiments for the estimation of a probability of failure | 2011/04/21 | English | 158 |
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation | 2018/12/03 | English | 156 |
Comparison of Bayesian predictive methods for model selection | 2016/04/07 | English | 153 |
Cases for the nugget in modeling computer experiments | 2010/12/30 | English | 152 |
A tutorial on support vector regression | 2004/08/01 | English | 151 |
Shape constrained additive models | 2014/02/25 | English | 146 |
Robust adaptive Metropolis algorithm with coerced acceptance rate | 2011/08/04 | English | 143 |
Adaptive importance sampling in general mixture classes | 2008/04/25 | English | 142 |
Robust mixture modeling using multivariate skew t distributions | 2009/05/05 | English | 141 |