Results 121 to 130 of about 824 (154)

Open Capture‐Recapture Models with Heterogeneity: I. Cormack‐Jolly‐Seber Model

Biometrics, 2003
Summary.  In open population capture‐recapture studies, it is usually assumed that similar animals (e.g., of the same sex and age group) have similar survival rates and capture probabilities. These assumptions are generally perceived to be an oversimplification, and they can lead to incorrect model selection and biased parameter estimates. Allowing for
Pledger, Shirley, Pollock, Kenneth H., Norris, James L.   +2 more
exaly   +3 more sources

Modeling Individual Effects in the Cormack–Jolly–Seber Model: A State–Space Formulation

Biometrics, 2008
Summary In population and evolutionary biology, there exists considerable interest in individual heterogeneity in parameters of demographic models for open populations. However, flexible and practical solutions to the development of such models have proven to be elusive.
J Andrew Royle
exaly   +3 more sources

Mark-Recapture Jolly-Seber Abundance Estimation with Classification Uncertainty

2009
Wildlife managers and ecologists are often interested in estimating abundance of animals belonging to a certain fixed group (e.g. sex), but in some cases group membership cannot always be ascertained. Group assignment uncertainties can occur either through the inability to assign group membership because of a lack of group-specific characteristics (e.g.
Carl J Schwarz
exaly   +2 more sources

Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach

Journal of Statistical Computation and Simulation, 2013
When there are frequent capture occasions, both semiparametric and nonparametric estimators for the size of an open population have been proposed using kernel smoothing methods. While kernel smoothing methods are mathematically tractable, fitting them to data is computationally intensive.
Richard Huggins, Jakub Stoklosa
exaly   +2 more sources

Efficient implementation of the Metropolis-Hastings algorithm, with application to the Cormack–Jolly–Seber model

Environmental and Ecological Statistics, 2007
Judicious choice of candidate generating distributions improves efficiency of the Metropolis-Hastings algorithm. In Bayesian applications, it is sometimes possible to identify an approximation to the target posterior distribution; this approximate posterior distribution is a good choice for candidate generation.
William Link, Richard Barker, Barker Richard J   +2 more
exaly   +2 more sources

A Modified Analysis of the Jolly-Seber Capture-Recapture Model

Biometrics, 1980
exaly   +2 more sources

Cormack–Jolly–Seber model with environmental covariates: A P‐spline approach

Biometrical Journal, 2012
In capture–recapture models, survival and capture probabilities can be modelled as functions of time‐varying covariates, such as temperature or rainfall. The Cormack–Jolly–Seber (CJS) model allows for flexible modelling of these covariates; however, the functional relationship may not be linear.
Stoklosa, Jakub, Huggins, Richard M.
openaire   +3 more sources

Open Capture–Recapture Models with Heterogeneity: II. Jolly–Seber Model

Biometrics, 2009
Summary Estimation of abundance is important in both open and closed population capture–recapture analysis, but unmodeled heterogeneity of capture probability leads to negative bias in abundance estimates. This article defines and develops a suite of open population capture–recapture models using finite mixtures to model heterogeneity of capture and ...
Pledger, Shirley, Pollock, Kenneth H., Norris, James L.   +2 more
openaire   +3 more sources

Objective prior distributions for Jolly‐Seber models of zero‐augmented data

Biometrics, 2020
AbstractStatistical models of capture‐recapture data that are used to estimate the dynamics of a population are known collectively as Jolly‐Seber (JS) models. State‐space versions of these models have been developed for the analysis of zero‐augmented data that include the capture histories of the observed individuals and an arbitrarily large number of ...
openaire   +3 more sources

Basic Program for Calculating Jolly-Seber Population Parameters

Bulletin of the Entomological Society of America, 1986
A Basic program to compute the population parameters of the Jolly-Seber stochastic model for capture/recapture data is presented with an example. The program calculates the proportions and numbers of marked animals, the population size, the probability of survival, and the number of new animals entering the population as well as the standard errors for
M. S. Ibrahim, M. Trpis
openaire   +1 more source