| A note on using the F-measure for evaluating record linkage algorithms |
19 |
| Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation |
13 |
| Bayesian Additive Regression Trees using Bayesian model averaging |
11 |
| Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation |
9 |
| An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions |
9 |
| Likelihood-free inference via classification |
9 |
| Control variates for stochastic gradient MCMC |
8 |
| Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates |
7 |
| Gaussian variational approximation with sparse precision matrices |
6 |
| Large-scale kernel methods for independence testing |
6 |
| GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model |
6 |
| Bayesian nonparametric spectral density estimation using B-spline priors |
6 |
| Robust finite mixture modeling of multivariate unrestricted skew-normal generalized hyperbolic distributions |
6 |
| Fast covariance estimation for sparse functional data |
6 |
| An elliptically symmetric angular Gaussian distribution |
6 |
| Resample-smoothing of Voronoi intensity estimators |
5 |
| Ensemble preconditioning for Markov chain Monte Carlo simulation |
5 |
| A reweighting approach to robust clustering |
5 |
| Clustering time series by linear dependency |
5 |
| On coupling particle filter trajectories |
5 |
| Decision-making under uncertainty: using MLMC for efficient estimation of EVPPI |
5 |
| Bootstrap methods for stationary functional time series |
5 |
| Nested Kriging predictions for datasets with a large number of observations |
5 |
| Bayesian nonparametric clustering for large data sets |
5 |
| A modern retrospective on probabilistic numerics |
5 |
| Variational Bayes with synthetic likelihood |
5 |
| Conditional vs marginal estimation of the predictive loss of hierarchical models using WAIC and cross-validation |
4 |
| The stochastic topic block model for the clustering of vertices in networks with textual edges |
4 |
| Multilevel particle filters: normalizing constant estimation |
4 |
| Fast computation of spatially adaptive kernel estimates |
4 |
| Deep Gaussian mixture models |
4 |
| Penalized estimation of directed acyclic graphs from discrete data |
4 |
| Robust clustering tools based on optimal transportation |
4 |
| Modelling the role of variables in model-based cluster analysis |
3 |
| Accurate and efficient numerical calculation of stable densities via optimized quadrature and asymptotics |
3 |
| Automatic specification of piecewise linear additive models: application to forecasting natural gas demand |
3 |
| A probabilistic model for the numerical solution of initial value problems |
3 |
| Density estimation with distribution element trees |
3 |
| Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation |
3 |
| A rare event approach to high-dimensional approximate Bayesian computation |
3 |
| Strong convergence rates of probabilistic integrators for ordinary differential equations |
3 |
| On the exact maximum likelihood inference of Fisher-Bingham distributions using an adjusted holonomic gradient method |
3 |
| Reliable error estimation for Sobol' indices |
3 |
| Markov chain Monte Carlo with the Integrated Nested Laplace Approximation |
3 |
| Bootstrap bias corrections for ensemble methods |
3 |
| Optimal Bayesian estimators for latent variable cluster models |
3 |
| Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models |
3 |
| Anisotropy of Holder Gaussian random fields: characterization, estimation, and application to image textures |
2 |
| Conditional density estimation using the local Gaussian correlation |
2 |
| Long memory and changepoint models: a spectral classification procedure |
2 |
