Simon Maskell

1. Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal
   2022/05/15 by Conor Rosato, John William Harris, Rosato, Conor +5 · 2 citations
   Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Statistical Methods and Bayesian Inference
2. The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler with a Near-Optimal L-Kernel
   2021/08/05 by Lee Devlin, Devlin, Lee, Paul Horridge +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods
3. A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler
   2019/05/24 by Alessandro Varsi, Varsi, Alessandro, Lykourgos Kekempanos +5 · 1 citation
   Computer Science · #Computation (stat.CO) #Distributed #FOS: Computer and information sciences #Neural Networks and Applications #Parallel #Target Tracking and Data Fusion in Sensor Networks #Time Series Analysis and Forecasting #and Cluster Computing (cs.DC)
4. Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers
   2025/04/03 by Andrew R. Millard, Joshua Murphy, Millard, Andrew +5 · 3 citations
   Decision Sciences · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Electrical engineering #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
5. Non-Myopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation
   2023/08/14 by Marcel L. Hernandez, Ángel F. García‐Fernández, Hernandez, Marcel +3 · 1 citation
   Computer Science · #Distributed Sensor Networks and Detection Algorithms #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Search Problems #Signal Processing (eess.SP) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering