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20072026
most citedA note on Bayesian nonparametric priors derived from exponentially tilted Poisson-Kingman models

11 citations · 42 across the 16 of their papers we have counts for

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16 papers

math.PR2026

On two overlooked stick-breaking constructions of the normalized inverse Gaussian process

Annalisa Cerquetti

We shed light on two alternative stick-breaking constructions of the normalized inverse Gaussian (NIG) random discrete distribution which appear to have been overlooked so far in t…

math.ST2019

Exact Good-Turing characterization of the two-parameter Poisson-Dirichlet superpopulation model

Annalisa Cerquetti

Large sample size equivalence between the celebrated {\it approximated} Good-Turing estimator of the probability to discover a species already observed a certain number of times (G…

math.ST2014★ 3 cited

Bayesian nonparametric estimation of Tsallis diversity indices under Gnedin-Pitman priors

Annalisa Cerquetti

Tsallis entropy is a generalized diversity index first derived in Patil and Taillie (1982) and then rediscovered in community ecology by Keylock (2005). Bayesian nonparametric esti…

stat.ME2013★ 1 cited

Yet another application of marginals of multivariate Gibbs distributions

Annalisa Cerquetti

We give yet another example of the usefulness of working with marginals of multivariate Gibbs distributions (Cerquetti, 2013) in deriving Bayesian nonparametric estimators under Gi…

math.ST2013★ 1 cited

A note on a Bayesian nonparametric estimator of the discovery probability

Annalisa Cerquetti

Favaro, Lijoi, and Pruenster (2012, Biometrics, 68, 1188--1196) derive a novel Bayesian nonparametric estimator of the probability of detecting at the th observation a spe…

math.PR2012★ 7 cited

Marginals of multivariate Gibbs distributions with applications in Bayesian species sampling

Annalisa Cerquetti

Gibbs partition models are the largest class of infinite exchangeable partitions of the positive integers generalizing the product form of the probability function of the two-param…