Bayesian Methods for Capture-Recapture
A Review of Methods for Point and Interval Estimation of Population Size in Capture-Recapture Studies
... classical capture-recapture experiment are obtained by method of moments and maximum likelihood ...approximate methods. Bayesian methods of interval estimation are also ...the ...
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From distance sampling to spatial capture recapture
... Carlo methods implemented for Bayesian inference can be much more computationally ...efficient Bayesian method by King et al. (2016). Bayesian methods are more easily able to deal with ...
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Open population maximum likelihood spatial capture recapture
... population capture-recapture models are widely used to estimate population demographics and abundance over ...time. Bayesian methods exist to incorporate open population modeling with spatial ...
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Methods in spatially explicit capture recapture
... In order for a ML approach to infer which is more likely given the data at hand, it is thus necessary not only to integrate over the latent locations at which the two detected cues were produced—but additionally all ...
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Bayesian capture-recapture analysis allowing for heterogeneity between animals
... Throughout our paper, we emphasize a real-world example for which our proposed methodology is very useful. In Section 2, we present this example and develop a general Bayesian mixture methodology to examine this ...
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Catch Curve and Capture Recapture Models: A Bayesian Combined Approach
... 1 Bayesian Catch Curve Analysis Summary Catch curves have been used to estimate survival and instantaneous mortality for fish and wildlife populations for many ...a Bayesian approach to catch curve ...the ...
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Bayesian estimation of a cancer population by capture-recapture with individual capture heterogeneity and small sample
... several methods to estimate the completeness of cancer registration, among which log-linear models: according to both these au- thors, log-linear modelling does not always yield the best ...sential. Capture ...
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Population estimation in African elephants with hierarchical Bayesian spatial capture-recapture models
... photographic methods, where geographic coordinates for each observation are also recorded, can be combined with animal characteristics that provide individual recognition ...
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Bayesian inference in camera trapping studies for a class of spatial capture-recapture models
... The conventional approach to the analysis of density from these systems is to apply closed population models, and then attempt to convert those estimates to densities using a wide range of heuristically motivated but ...
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New methods for capture-recapture modelling with behavioural response and individual heterogeneity
... the capture- recapture ...discrete-time capture-recapture experiments, we will deal with the so called be- havioural ...individual capture history of each unit is represented as a row ...
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Semiparametric Regression in Capture-Recapture Modelling
... MCMC methods which provide powerful computer-intensive methods for making approximations ...with Bayesian graphical modeling, we will make use of Gibbs sampling (Casella and George, ...estimating ...
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Distance sampling methods for estimating the density and/or abundance capture recapture methods spatially explicit capture recapture
... Related Methods), where the object counted is an instantaneous cue such as a bird ...Point-transect methods are used to estimate the density of cues ...other methods for songbirds are considered in ...
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Counting with Combined Splitting and Capture-Recapture Methods
... L’Ecuyer, Tuffin & others 2006-present (efficiency analysis); Dean & Dupuis 2008 (subsolution; asymptotic optimality); Botev & Kroese 2008-present (generalized splitting meth[r] ...
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Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models
... Positive bias under similar conditions for M tb data sets occurred in Figure 2.2, although in that particular case the population sizes were five-hundred, and the average capture probability was high, which likely ...
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Analysis of multiple capture-recapture data using band-recovery methods
... ANALYSIS OF MULTIPLE CAPTURE-RECAPTURE DATA USING BAND-RECOVERY METHODS.. CAVELL BROWNIE and KENNETH H.[r] ...
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Recommendations for photo identification methods used in capture recapture models with cetaceans
... but if subtle features are used to identify individuals, then only very high quality images should be included.. 339.[r] ...
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Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data
... University of Kent and University of Oxford We present a Bayesian nonparametric approach for modelling wildlife migration patterns using capture-recapture (CR) data. Ar- rival times of individuals ...
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A Review of Methods for Point and Interval Estimation of Population Size in Capture-Recapture Studies
... Despite the many advantages associated with academic writing, there are, traditionally, limited opportunities to develop academic writing at undergraduate level within STEM subjects such as mathematics. Thus, it has ...
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A Review of Methods for Point and Interval Estimation of Population Size in Capture-Recapture Studies
... In the present study principal component analysis approach has been adopted to classify the districts of Odisha according to different levels of agricultural development on[r] ...
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A Review of Methods for Point and Interval Estimation of Population Size in Capture-Recapture Studies
... Indeed, Nicholson, Road and Darnton (2003), Pecky and Gould (2005); Cazorla (2006); Contreras, Batanero, Diaz and Fernandez (2011) all argue that teachers from mathematics graduate courses, sometimes have some basic ...
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