Bayesian Nonparametric Estimation of the Probability of Discovering New Species

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On the stick-breaking representation of normalized inverse Gaussian priors (2012, methodology): “Bayesian nonparametric applications include mixtures (Ishwaran & James, 2001), linguistics (Teh, 2006), species sampling (Lijoi et al., 2007) and survival analysis (Jara et al., 2010).”
Bayesian non‐parametric inference for species variety with a two‐parameter Poisson–Dirichlet process prior (2009, background): “2000), previously analyzed in Mao and Lindsay (2002), Mao (2004) and Lijoi et al. (2007a); (b) two cDNA libraries of the amitochondriate protist Mastigamoeba balamuthi (Susko and Roger, 2004): the first is nonnormalized, whereas the second is normalized, i.”
Posterior Analysis for Normalized Random Measures with Independent Increments (2009, methodology): “Even though its proof is based on the result of the next theorem 1, it is worth introducing it in advance because of the key role played by this latent random variable Un for developing the posterior analysis of NRMIs.”
Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size. (2012, methodology): “A Bayesian nonparametric approach was proposed in Lijoi et al. (2007).”
The Ubiquitous Ewens Sampling Formula (2016, methodology): “Others [38, 65] have further contributed to the foundations of Bayesian nonparametrics laid down by Ishawaran & James.”