Andrew Golightly

1. The Neural Moving Average Model for Scalable Variational Inference of State Space Models
   2019/10/02 by Tom Ryder, Ryder, Tom, Dennis Prangle +5 · 1 citation
   Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neural Networks and Applications
2. Adaptive, Delayed-Acceptance MCMC for Targets With Expensive Likelihoods
   2015/09/01 by Chris Sherlock, Andrew Golightly, Sherlock, Chris +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistics Theory (math.ST)
3. Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
   2024/05/22 by Sam A. Whitaker, Whitaker, Sam A., Andrew Golightly +5 · 1 citation
   Mathematics · Medicine · #Applications (stat.AP) #COVID-19 epidemiological studies #Computation (stat.CO) #FOS: Computer and information sciences #Influenza Virus Research Studies #Methodology (stat.ME)