Consider a finite sample from an unknown distribution over a countable alphabet. The
occupancy probability (OP) refers to the total probability of symbols that appear exactly k …

Given an observed sample from a population of individuals belonging to species," species-
sampling" problems (SSPs) call for estimating some features of the unknown species …

Consider a finite sample from an unknown distribution over a countable alphabet. The
missing mass refers to the probability of symbols that do not appear in the sample …

Consider a finite sample from an unknown distribution over a countable alphabet.
Unobserved events are alphabet symbols which do not appear in the sample. Estimating the …

We study the problem of estimating the stationary mass---also called the unigram mass---
that is missing from a single trajectory of a discrete-time, ergodic Markov chain. This problem …

We introduce a dependent Bayesian nonparametric model for the probabilistic modeling of
membership of subgroups in a community based on partially replicated data. The focus here …

Given a sample of size n from a population of individuals belonging to different species with
unknown proportions, a problem of practical interest consists in making inference on the …

We study the problem of estimating the stationary mass—also called the unigram mass—
that is missing from a single trajectory of a discrete-time, ergodic Markov chain. This problem …

Turing's formula allows one to estimate the total probability associated with letters from an
alphabet, which are not observed in a random sample. In this paper we give conditions for …

We introduce and study a unified Bayesian framework for extended feature allocations
which flexibly captures interactions--such as repulsion or attraction--among features and …