Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What are Populations and Communities?00:30

What are Populations and Communities?

36.9K
Overview
36.9K
Conservation of Declining Populations02:07

Conservation of Declining Populations

12.5K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
12.5K
Conservation of Small Populations02:04

Conservation of Small Populations

16.5K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
16.5K
Censoring Survival Data01:09

Censoring Survival Data

481
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
481
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

630
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
630
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

216
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
216

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Latent multinomial models for extended batch-mark data.

Biometrics·2022
Same author

A flexible and efficient Bayesian implementation of point process models for spatial capture-recapture data.

Ecology·2022
Same author

Understanding the impact of correlation within pair-bonds on Cormack-Jolly-Seber models.

Ecology and evolution·2021
Same author

Effects of snake fungal disease on short-term survival, behavior, and movement in free-ranging snakes.

Ecological applications : a publication of the Ecological Society of America·2020
Same author

Fast likelihood-based inference for latent count models using the saddlepoint approximation.

Biometrics·2019
Same author

Selectivity underlies the dissociation between seasonal prey availability and prey consumption in a generalist predator.

Molecular ecology·2018

Related Experiment Video

Updated: Jan 2, 2026

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

5.8K

On continuous-time capture-recapture in closed populations.

Wei Zhang1, Simon J Bonner1,2

  • 1Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada.

Biometrics
|December 12, 2019
PubMed
Summary

Continuous-time capture-recapture models benefit from using a Poisson model, not just continuous data. Discretizing data with a Poisson model avoids information loss in population size estimation, matching continuous-time methods.

Keywords:
Poisson modelS-ancillaritycapture-recapturecontinuous-timedata discretizationlikelihood factorization

More Related Videos

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.2K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

3.0K

Related Experiment Videos

Last Updated: Jan 2, 2026

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

5.8K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

13.2K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

3.0K

Area of Science:

  • Ecology
  • Biometrics
  • Statistical Modeling

Background:

  • Continuous-time capture-recapture models are crucial for population size estimation.
  • Discretizing continuous data for traditional models can lead to information loss.
  • Previous work by Schofield et al. (2018) introduced Poisson process-based models.

Purpose of the Study:

  • To clarify the importance of the Poisson model in Schofield et al.'s approach.
  • To demonstrate that data discretization with a Poisson model is effective.
  • To compare discrete-time Poisson models with continuous-time methods.

Main Methods:

  • Applying Poisson models to capture counts for individuals.
  • Utilizing data discretization techniques for capture-recapture data.
  • Comparing population size estimates from different modeling approaches.

Main Results:

  • The core of Schofield et al.'s method is the Poisson assumption, not continuous time.
  • Discretizing data and applying a Poisson model yields results comparable to continuous-time methods.
  • Using a Bernoulli model on discretized data leads to information loss.

Conclusions:

  • Poisson models are key for accurate capture-recapture analysis, regardless of time scale.
  • Discretization is a viable strategy when combined with appropriate Poisson modeling.
  • Avoid traditional Bernoulli models on discretized data for robust population estimates.