Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities
From MaRDI portal
Publication:1950920
DOI10.1214/12-EJS758zbMath1302.62099WikidataQ59396994 ScholiaQ59396994MaRDI QIDQ1950920
Luca Tardella, Alessio Farcomeni
Publication date: 28 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1357913090
identifiabilitycapture-recaptureconditional likelihoodbinomial mixtureunconditional likelihoodcomplete likelihood
Related Items (9)
Latent class recapture models with flexible behavioural response ⋮ Reference Bayesian methods for recapture models with heterogeneity ⋮ Nonparametric identifiability in species distribution and abundance models: why it matters and how to diagnose a lack of it using simulation ⋮ Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities ⋮ Heterogeneity and behavioral response in continuous time capture-recapture, with application to street cannabis use in Italy ⋮ A general class of recapture models based on the conditional capture probabilities ⋮ Flexible behavioral capture-recapture modeling ⋮ On the design of closed recapture experiments ⋮ Combining cluster sampling and link-tracing sampling to estimate the size of a hidden population: asymptotic properties of the estimators
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reference Bayesian methods for recapture models with heterogeneity
- An exponential partial prior for improving nonparametric maximum likelihood estimation in mixture models
- Estimating population sizes for capture-recapture sampling with binomial mixtures
- Estimation of binomial parameters when both \(n\), \(p\) are unknown
- Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities
- Stochastic monotonicity properties of Bayes estimation of the population size for capture-recapture data
- Bayesian capture-recapture methods for error detection and estimation of population size: Heterogeneity and dependence
- Estimating Population Size for Sparse Data in Capture-Recapture Experiments
- Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities
- On the Nonidentifiability of Population Sizes
- On identifiability of parametric statistical models
- On Comparison of Mixture Models for Closed Population Capture–Recapture Studies
- Estimation of the size of a closed population when capture probabilities vary among animals
- Nonparametric MLE under Two Closed Capture-Recapture Models with Heterogeneity
- A new Bayesian method for nonparametric capture-recapture models in presence of heterogeneity
- An examination of the effect of heterogeneity on the estimation of population size using capture-recapture data
- Bayesian Estimation of Mixing Distributions
- Estimating the Size of a Multinomial Population
- A note on the difficulties associated with the analysis of capture-recapture experiments with heterogeneous capture probabilities
This page was built for publication: Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities
