Simon Lyddon

1. General Bayesian Updating and the Loss-Likelihood Bootstrap
   2017/09/22 by Simon Lyddon, Lyddon, Simon, Chris Holmes +3 · 5 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
2. Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
   2019/02/08 by Edwin Fong, Fong, Edwin, Simon Lyddon +3 · 3 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
3. Nonparametric learning from Bayesian models with randomized objective functions
   2018/06/29 by Simon Lyddon, Stephen G. Walker, Lyddon, S. P. +3 · 1 citation
   Computer Science · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms