Heterogeneous Capture-Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations

Biometrics ◽  
2011 ◽  
Vol 67 (4) ◽  
pp. 1659-1665 ◽  
Author(s):  
Jakub Stoklosa ◽  
Wen-Han Hwang ◽  
Sheng-Hai Wu ◽  
Richard Huggins
Keyword(s):  
Partial Likelihood ◽  
Capture Recapture ◽  
Likelihood Approach ◽  
Closed Populations

On continuous‐time capture‐recapture in closed populations

Biometrics ◽  
2019 ◽  
Vol 76 (3) ◽  
pp. 1028-1033 ◽  
Author(s):  
Wei Zhang ◽  
Simon J. Bonner
Keyword(s):  
Continuous Time ◽  
Capture Recapture ◽  
Closed Populations

scholarly journals Event history analysis of dynamic networks

Biometrika ◽  
2020 ◽  
Author(s):  
T Sit ◽  
Z Ying ◽  
Y Yu
Keyword(s):  
Event History Analysis ◽  
Dynamic Networks ◽  
Partial Likelihood ◽  
Event History ◽  
Dependence Structure ◽  
Counting Processes ◽  
Asymptotic Results ◽  
History Analysis ◽  
History Of ◽  
Likelihood Approach

Summary Statistical analysis on networks has received growing attention due to demand from various emerging applications. In dynamic networks, one of the key interests is to model the event history of time-stamped interactions among nodes. We model dynamic directed networks via multivariate counting processes. A pseudo partial likelihood approach is exploited to capture the network dependence structure. Asymptotic results are established. Numerical experiments are performed to demonstrate the effectiveness of our proposal.

Capture-Recapture and Removal Methods for Sampling Closed Populations.

1984 ◽  
Vol 33 (3) ◽  
pp. 326
Author(s):  
S. M. Taylor ◽  
G. C. White ◽  
D. R. Anderson ◽  
K. P. Burnham ◽  
D. L. Otis
Keyword(s):  
Capture Recapture ◽  
Closed Populations

Quantitative Methods for Estimating the Size of a Drug-Using Population

1993 ◽  
Vol 23 (2) ◽  
pp. 185-216 ◽  
Author(s):  
Thomas D. Wickens
Keyword(s):  
Drug Use ◽  
System Dynamics ◽  
Quantitative Methods ◽  
Linear Models ◽  
Markov Models ◽  
Partially Observed ◽  
Capture Recapture ◽  
Closed Populations ◽  
Log Linear ◽  
Dynamics Models

The author describes several of the most important quantitative procedures for estimating the size of an unobserved or partially observed population, with specific application to the estimation of the prevalence of drug use. The methods discussed include synthetic estimation, truncated Poisson estimates, multiple-capture surveys in both closed populations (the capture-recapture model and log-linear models) and open populations (the Jolly-Seber model and Markov models), and, more briefly, system dynamics models.

Capture-Recapture and Removal Methods for Sampling Closed Populations

1984 ◽  
Vol 48 (1) ◽  
pp. 304
Author(s):  
Estelle Russek ◽  
G. C. White ◽  
D. R. Anderson ◽  
K. P. Burnham ◽  
D. L. Otis
Keyword(s):  
Capture Recapture ◽  
Closed Populations
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