1 citations · 1 across the 6 of their papers we have counts for
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stat.CO2023★ 1 cited
Parallel Approaches to Accelerate Bayesian Decision Trees
Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell
Markov Chain Monte Carlo (MCMC) is a well-established family of algorithms primarily used in Bayesian statistics to sample from a target distribution when direct sampling is challe…
stat.CO2016
Langevin Incremental Mixture Importance Sampling
Matteo Fasiolo, Flávio Eler de Melo, Simon Maskell
This work proposes a novel method through which local information about the target density can be used to construct an efficient importance sampler. The backbone of the proposed me…