1 citations · 1 across the 2 of their papers we have counts for
3 papers
Covariate Dependent Mixture of Bayesian Networks
Roman Marchant, Dario Draca, Gilad Francis +4
Learning the structure of Bayesian networks from data provides insights into underlying processes and the causal relationships that generate the data, but its usefulness depends on…
Optimal Particle-based Approximation of Discrete Distributions (OPAD)
Hadi Mohasel Afshar, Gilad Francis, Sally Cripps
Particle-based methods include a variety of techniques, such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC), for approximating a probabilistic target distribut…
Bayesian Adaptive Trials for Social Policy
Sally Cripps, Anna Lopatnikova, Hadi Mohasel Afshar +5
This paper proposes Bayesian Adaptive Trials (BAT) as both an efficient method to conduct trials and a unifying framework for evaluation social policy interventions, addressing lim…