Individual based population inference using tagging data

Publication: ResearchReport – Annual report year: 2010

Standard

Individual based population inference using tagging data. / Pedersen, Martin Wæver; Thygesen, Uffe Høgsbro; Baktoft, Henrik; Madsen, Henrik.

Kgs. Lyngby : Technical University of Denmark, DTU Informatics, Building 321, 2010. (IMM-Technical Report-2010-11).

Publication: ResearchReport – Annual report year: 2010

Harvard

Pedersen, MW, Thygesen, UH, Baktoft, H & Madsen, H 2010, Individual based population inference using tagging data. Technical University of Denmark, DTU Informatics, Building 321, Kgs. Lyngby. IMM-Technical Report-2010-11

APA

Pedersen, M. W., Thygesen, U. H., Baktoft, H., & Madsen, H. (2010). Individual based population inference using tagging data. Kgs. Lyngby: Technical University of Denmark, DTU Informatics, Building 321. (IMM-Technical Report-2010-11).

CBE

Pedersen MW, Thygesen UH, Baktoft H, Madsen H 2010. Individual based population inference using tagging data. Kgs. Lyngby: Technical University of Denmark, DTU Informatics, Building 321. (IMM-Technical Report-2010-11).

MLA

Pedersen, Martin Wæver et al. Individual based population inference using tagging data Kgs. Lyngby: Technical University of Denmark, DTU Informatics, Building 321. 2010. (IMM-Technical Report-2010-11).

Vancouver

Pedersen MW, Thygesen UH, Baktoft H, Madsen H. Individual based population inference using tagging data. Kgs. Lyngby: Technical University of Denmark, DTU Informatics, Building 321, 2010. (IMM-Technical Report-2010-11).

Author

Pedersen, Martin Wæver; Thygesen, Uffe Høgsbro; Baktoft, Henrik; Madsen, Henrik / Individual based population inference using tagging data.

Kgs. Lyngby : Technical University of Denmark, DTU Informatics, Building 321, 2010. (IMM-Technical Report-2010-11).

Publication: ResearchReport – Annual report year: 2010

Bibtex

@book{f4c9622ab07c40e5968dae297ec77110,
title = "Individual based population inference using tagging data",
publisher = "Technical University of Denmark, DTU Informatics, Building 321",
author = "Pedersen, {Martin Wæver} and Thygesen, {Uffe Høgsbro} and Henrik Baktoft and Henrik Madsen",
year = "2010",
series = "IMM-Technical Report-2010-11",

}

RIS

TY - RPRT

T1 - Individual based population inference using tagging data

A1 - Pedersen,Martin Wæver

A1 - Thygesen,Uffe Høgsbro

A1 - Baktoft,Henrik

A1 - Madsen,Henrik

AU - Pedersen,Martin Wæver

AU - Thygesen,Uffe Høgsbro

AU - Baktoft,Henrik

AU - Madsen,Henrik

PB - Technical University of Denmark, DTU Informatics, Building 321

PY - 2010

Y1 - 2010

N2 - A hierarchical framework for simultaneous analysis of multiple related individual datasets is presented. The approach is very similar to mixed effects modelling as known from statistical theory. The model used at the individual level is, in principle, irrelevant as long as a maximum likelihood estimate and its uncertainty (Hessian) can be computed. The individual model used in this text is a hidden Markov model. A simulation study concerning a two-dimensional biased random walk is examined to verify the consistency of the hierarchical estimation framework. In addition, a study based on acoustic telemetry data from pike illustrates how the framework can identify individuals that deviate from the remaining population.

AB - A hierarchical framework for simultaneous analysis of multiple related individual datasets is presented. The approach is very similar to mixed effects modelling as known from statistical theory. The model used at the individual level is, in principle, irrelevant as long as a maximum likelihood estimate and its uncertainty (Hessian) can be computed. The individual model used in this text is a hidden Markov model. A simulation study concerning a two-dimensional biased random walk is examined to verify the consistency of the hierarchical estimation framework. In addition, a study based on acoustic telemetry data from pike illustrates how the framework can identify individuals that deviate from the remaining population.

BT - Individual based population inference using tagging data

T3 - IMM-Technical Report-2010-11

T3 - en_GB

ER -