TY - RPRT
T1 - Likelihood-based inference for clustered line transect data
AU - Waagepetersen, Rasmus Plenge
AU - Schweder, Tore
PY - 2004
Y1 - 2004
N2 - The uncertainty in estimation of spatial animal density from line transect surveys depends on the degree of spatial clustering in the animal population. To quantify the clustering we model line transect data as independent thinnings of spatial shot-noise Cox processes. Likelihood-based inference is implemented using Markov Chain Monte Carlo methods to obtain efficient estimates of spatial
clustering parameters. Uncertainty is addressed using parametric bootstrap or by consideration of posterior distributions in a Bayesian setting. Maximum likelihood estimation and Bayesian inference is compared in an example
concerning minke whales in the North Atlantic. Our modelling and computational approach is flexible but demanding in terms of computing time.
AB - The uncertainty in estimation of spatial animal density from line transect surveys depends on the degree of spatial clustering in the animal population. To quantify the clustering we model line transect data as independent thinnings of spatial shot-noise Cox processes. Likelihood-based inference is implemented using Markov Chain Monte Carlo methods to obtain efficient estimates of spatial
clustering parameters. Uncertainty is addressed using parametric bootstrap or by consideration of posterior distributions in a Bayesian setting. Maximum likelihood estimation and Bayesian inference is compared in an example
concerning minke whales in the North Atlantic. Our modelling and computational approach is flexible but demanding in terms of computing time.
KW - shot-noise Cox processes
KW - thinning
KW - simulation-based inference
KW - spatial point processes
KW - shot-noise Cox processes
KW - thinning
KW - simulation-based inference
KW - spatial point processes
M3 - Report
T3 - Research Report Series
BT - Likelihood-based inference for clustered line transect data
PB - Department of Mathematical Sciences, Aalborg University
CY - Aalborg
ER -