Add to ORKGThe use of mixture models for estimating the size of an elusive population when capture rates vary among individuals has received strong attention from researchers. In this paper we propose a Bayesian semi-parametric approach by considering a truncated infinite dimensional Poisson mixture model for capture recapture count data. An application in official statistics regarding the estimate of the size of criminal populations is used to illustrate the proposed methodology
We review some recent approaches that have been used to address the difficult problem of estimating ...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
We revisit the heterogeneous closed population multiple recapture problem, modeling individual-level...
The use of mixture models for estimating the size of an elusive population when capture rates vary a...
The contribution investigates the problem of estimating the size of a population, also known as the ...
The contribution investigates the problem of estimating the size of a population, also known as the ...
Estimation of a population size by means of capture-recapture techniques is an important problem occ...
We introduce a new Bayesian non-parametric method based on Dirichlet process mixtures for estimating...
Estimation of a population size by means of capture-recapture techniques is an important problem occ...
Estimation of a population size by means of capture-recapture techniques is an important problem occ...
We propose a mixture of binomial and beta-binomial distributions for estimating the size of closed p...
Methodology is presented that allows to estimate the size of population from a single register, such...
Methodology is presented that allows to estimate the size of population from a single register, such...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
We review some recent approaches that have been used to address the difficult problem of estimating ...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
We revisit the heterogeneous closed population multiple recapture problem, modeling individual-level...
The use of mixture models for estimating the size of an elusive population when capture rates vary a...
The contribution investigates the problem of estimating the size of a population, also known as the ...
The contribution investigates the problem of estimating the size of a population, also known as the ...
Estimation of a population size by means of capture-recapture techniques is an important problem occ...
We introduce a new Bayesian non-parametric method based on Dirichlet process mixtures for estimating...
Estimation of a population size by means of capture-recapture techniques is an important problem occ...
Estimation of a population size by means of capture-recapture techniques is an important problem occ...
We propose a mixture of binomial and beta-binomial distributions for estimating the size of closed p...
Methodology is presented that allows to estimate the size of population from a single register, such...
Methodology is presented that allows to estimate the size of population from a single register, such...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
We review some recent approaches that have been used to address the difficult problem of estimating ...
Population size estimation with discrete or nonparametric mixture models is considered, and reliable...
We revisit the heterogeneous closed population multiple recapture problem, modeling individual-level...