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相关论文: Estimation of population size based on capture rec…

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We contribute a general and flexible framework to estimate the size of a closed population in the presence of $K$ capture-recapture lists and heterogeneous capture probabilities. Our novel identifying strategy leverages the fact that it is…

统计方法学 · 统计学 2024-07-08 Mateo Dulce Rubio , Edward Kennedy

Capture-recapture methods aim to estimate the size of a closed population on the basis of multiple incomplete enumerations of individuals. In many applications, the individual probability of being recorded is heterogeneous in the…

统计方法学 · 统计学 2016-06-08 James E. Johndrow , Kristian Lum , Daniel Manrique-Vallier

Population size estimation based on capture-recapture experiment under triple record system is an interesting problem in various fields including epidemiology, population studies, etc. In many real life scenarios, there exists inherent…

统计方法学 · 统计学 2022-01-04 Kiranmoy Chatterjee , Prajamitra Bhuyan

Population size estimation based on two sample capture-recapture type experiment is an interesting problem in various fields including epidemiology, pubic health, population studies, etc. The Lincoln-Petersen estimate is popularly used…

统计方法学 · 统计学 2019-01-21 Kiranmoy Chatterjee , Prajamitra Bhuyan

Capture-recapture (CRC) surveys are used to estimate the size of a population whose members cannot be enumerated directly. CRC surveys have been used to estimate the number of Covid-19 infections, people who use drugs, sex workers, conflict…

统计方法学 · 统计学 2022-10-17 Jinghao Sun , Luk Van Baelen , Els Plettinckx , Forrest W. Crawford

Population size estimation based on the capture-recapture experiment is an interesting problem in various fields including epidemiology, criminology, demography, etc. In many real-life scenarios, there exists inherent heterogeneity among…

统计方法学 · 统计学 2023-08-01 Kiranmoy Chatterjee , Prajamitra Bhuyan

While non-invasive sampling is more and more commonly used in capture-recapture (CR) experiments, it carries a higher risk of misidentifications than direct observations. As a consequence, one must screen the data to retain only the…

定量方法 · 定量生物学 2023-04-04 Rémi Fraysse , Rémi Choquet , Carlo Costantini , Roger Pradel

Population size estimates for hidden and hard-to-reach populations are particularly important when members are known to suffer from disproportion health issues or to pose health risks to the larger ambient population in which they are…

社会与信息网络 · 计算机科学 2018-07-04 Bilal Khan , Hsuan-Wei Lee , Ian Fellows , Kirk Dombrowski

Estimation of population size using incomplete lists (also called the capture-recapture problem) has a long history across many biological and social sciences. For example, human rights and other groups often construct partial and…

统计方法学 · 统计学 2021-08-03 Manjari Das , Edward H. Kennedy , Nicholas P. Jewell

The problem of estimating the size of a population based on a subset of individuals observed across multiple data sources is often referred to as capture-recapture or multiple-systems estimation. This is fundamentally a missing data…

统计方法学 · 统计学 2022-06-22 Serge Aleshin-Guendel , Mauricio Sadinle , Jon Wakefield

Estimates of population size for hidden and hard-to-reach individuals are of particular interest to health officials when health problems are concentrated in such populations. Efforts to derive these estimates are often frustrated by a…

社会与信息网络 · 计算机科学 2017-02-01 Bilal Khan , Hsuan-Wei Lee , Kirk Dombrowski

The paper describes a new class of capture-recapture models for closed populations when individual covariates are available. The novelty consists in combining a latent class model for the distribution of the capture history, where the class…

统计方法学 · 统计学 2021-11-08 Antonio Forcina , Francesco Bartolucci

We develop a multi-state model to estimate the size of a closed population from ecological capture-recapture studies. We consider the case where capture-recapture data are not of a simple binary form, but where the state of an individual is…

应用统计 · 统计学 2017-08-02 Hannah Worthington , Rachel S. McCrea , Ruth King , Richard A. Griffiths

This work is concerned with the estimation of hard-to-reach population sizes using a single respondent-driven sampling (RDS) survey, a variant of chain-referral sampling that leverages social relationships to reach members of a hidden…

This paper deals with the estimation of population sizes for respondent-driven sampling (RDS), a variant of link-tracing sampling that leverages social networks over a number of waves to recruit individuals from hidden populations. The RDS…

统计方法学 · 统计学 2023-07-24 Mamadou Yauck

Log-linear models are often used to estimate the size of a closed population using capture-recapture data. When capture probabilities are related to auxiliary covariates, one may select a separate model based on each of several post-strata.…

统计方法学 · 统计学 2014-06-11 Zachary T. Kurtz

We propose a family of metrics to assess language generation derived from population estimation methods widely used in ecology. More specifically, we use mark-recapture and maximum-likelihood methods that have been applied over the past…

计算与语言 · 计算机科学 2020-10-12 Gonçalo Mordido , Christoph Meinel

Motivated by various applications, we consider the problem of homogeneous human population size (N) estimation from Dual-record system (DRS) (equivalently, two-sample capture-recapture experiment). The likelihood estimate from the…

统计方法学 · 统计学 2015-04-07 Kiranmoy Chatterjee , Diganta Mukherjee

Estimating the size of an elusive target population is of prominent interest in many areas in the life and social sciences. Our aim is to provide an efficient and workable method to estimate the unknown population size, given the frequency…

应用统计 · 统计学 2011-07-28 Irene Rocchetti , John Bunge , Dankmar Böhning

Capture-recapture methods for estimating the total size of elusive populations are widely-used, however, due to the choice of estimator impacting upon the results and conclusions made, the question of performance of each estimator is…

统计方法学 · 统计学 2023-12-15 Layna Charlie Dennett , Dankmar Böhning
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