2 citations · 2 across the 3 of their papers we have counts for
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Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator
Martin Metodiev, Nicholas J. Irons, Marie Perrot-Dockès +2
We present a new version of the truncated harmonic mean estimator (THAMES) for univariate or multivariate mixture models. The estimator computes the marginal likelihood from Markov…
Causally Sound Priors for Binary Experiments
Nicholas J. Irons, Carlos Cinelli
We introduce the BREASE framework for the Bayesian analysis of randomized controlled trials with a binary treatment and a binary outcome. Approaching the problem from a causal infe…
Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator
Martin Metodiev, Marie Perrot-Dockès, Sarah Ouadah +2
We propose an easily computed estimator of marginal likelihoods from posterior simulation output, via reciprocal importance sampling, combining earlier proposals of DiCiccio et al…