Predicting the Conditional Probability of Discovering a New Class

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Bayesian non‐parametric inference for species variety with a two‐parameter Poisson–Dirichlet process prior (2009, methodology): “…of distinct species that are detectable in a sample of size n + m. Recently there has been renewed interest in the area due to its importance in genomics as witnessed by the recent contributions of, for example, Mao and Lindsay (2002), Mao (2004), Susko and Roger (2004) and Wang and Lindsay (2005).”
Bayesian Nonparametric Estimation of the Probability of Discovering New Species (2007, methodology): “Recently, Mao (2004) has shown that the Good–Toulmin estimator can be seen as a nonparametric empirical Bayes estimator of the expected value of the discovery probability and can also be obtained as a moment-based estimator.”
ESTIMATION OF SPECIES RICHNESS: MIXTURE MODELS, THE ROLE OF RARE SPECIES, AND INFERENTIAL CHALLENGES (2005, methodology): “…recipe is less known and less used in ecology, although several estimation procedures have been proposed (Burnham 1972, Efron and Thisted 1976, Ord and Whitmore 1986, Mingoti and Meeden 1992, Norris and Pollock 1996, 1998, Pledger 2000, Dorazio and Royle 2003, Mao 2004a, b, Mao et al., in press).”