文章名稱引用次數

• A note on using the F-measure for evaluating record linkage algorithms19
• Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation13
• Bayesian Additive Regression Trees using Bayesian model averaging11
• Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation9
• An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions9
• Likelihood-free inference via classification9
• Control variates for stochastic gradient MCMC8
• Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates7
• Gaussian variational approximation with sparse precision matrices6
• Large-scale kernel methods for independence testing6