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相关论文: On the Estimation of Population Size from a Depend…

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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

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 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

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

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

We propose a modern method to estimate population size based on capture-recapture designs of K samples. The observed data is formulated as a sample of n i.i.d. K-dimensional vectors of binary indicators, where the k-th component of each…

For Dual-record system, in the context of human population, the popular Chandrasekar-Deming model incorporates only the time variation effect on capture probabilities. How-ever, in practice population may undergo behavioral change after…

统计方法学 · 统计学 2015-04-30 Kiranmoy Chatterjee , Diganta Mukherjee

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

Plant-capture is a variant of classical capture-recapture methods used to estimate the size of a population. In this method, decoys referred to as "plants" are introduced into the population in order to estimate the capture probability. The…

统计方法学 · 统计学 2025-06-25 Yiran Wang , Martin Lysy , Audrey Béliveau

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

Dual-record system (DRS) (equivalently two sample Capture-recapture experiment) model with time and behavioral response variation, has attracted much attention specifically in the domain of Official Statistics and Epidemiology. The relevant…

统计方法学 · 统计学 2019-08-09 Kiranmoy Chatterjee , Diganta Mukherjee

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

Efficient estimation of population size from dependent dual-record system (DRS) remains a statistical challenge in capture-recapture type experiment. Owing to the nonidentifiability of the suitable Time-Behavioral Response Variation model…

统计方法学 · 统计学 2020-08-10 Kiranmoy Chatterjee , Diganta Mukherjee

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

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

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

Capture-recapture data are often collected when abundance estimation is of interest. In the presence of unobserved individual heterogeneity, specified on a continuous scale for the capture probabilities, the likelihood is not generally…

统计方法学 · 统计学 2017-10-13 Ruth King , Brett T. McClintock , Darren Kidney , David Borchers

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

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

Multiple systems estimation uses samples that each cover part of a population to obtain a total population size estimate. Ideally, all the available samples are used, but if some samples are available (much) later, one may use only the…

统计方法学 · 统计学 2024-10-25 Daan B. Zult , Peter G. M. van der Heijden , Bart F. M. Bakker
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