Bayesian Methods for Data Analysis

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Detection of a transit of the super-Earth 55 Cancri e with warm Spitzer (2011, methodology): “Using the Bayesian Information Criterion (BIC; e.g. Carlin & Louis 2008) to estimate the marginal likelihood of both models, and assuming that these models have the same prior probability, we obtained an odds ratio of ∼ 1016 in favor of the P = 0.74 day model, indicating a decisive strength of…”
The TRAPPIST survey of southern transiting planets. I. Thirty eclipses of the ultra-short period planet WASP-43 b (2012, methodology): “To summarize, MCMC is a Bayesian stochastic simulation algorithm designed to deduce the posterior Probability Distribution Fuctions (PDFs) for the parameters of a given model (e.g. Gregory 2005, Carlin & Louis 2008).”
Multiple Imputation by Fully Conditional Specification for Dealing with Missing Data in a Large Epidemiologic Study (2015, background): “where is the imputed value for the variable j at the tth iteration [24].”