文章名稱引用次數

• Constrained Bayesian Optimization with Noisy Experiments13
• Bayesian Inference and Testing of Group Differences in Brain Networks10
• Locally Adaptive Smoothing with Markov Random Fields and Shrinkage Priors7
• Sampling Errors in Nested Sampling Parameter Estimation6
• A New Regression Model for Bounded Responses5
• Power-Expected-Posterior Priors for Generalized Linear Models4
• Low Information Omnibus (LIO) Priors for Dirichlet Process Mixture Models4
• Bayesian Zero-Inflated Negative Binomial Regression Based on Polya-Gamma Mixtures3
• Modeling Skewed Spatial Data Using a Convolution of Gaussian and Log-Gaussian Processes3
• Improving the Efficiency of Fully Bayesian Optimal Design of Experiments Using Randomised Quasi-Monte Carlo3