4.7 Article

Bayesian methods for analyzing movements in heterogeneous landscapes from mark-recapture data

Related references

Note: Only part of the references are listed.
Article Computer Science, Theory & Methods

DRAM: Efficient adaptive MCMC

Heikki Haario et al.

STATISTICS AND COMPUTING (2006)

Article Environmental Sciences

A general model for analyzing data from mark-recapture experiments with an application to the pacific halibut

Ding-Geng Chen et al.

ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2006)

Article Environmental Sciences

On the estimation of dispersal kernels from individual mark-recapture data

Masami Fujiwara et al.

ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2006)

Article Ecology

Dispersal-related life-history trade-offs in a butterfly metapopulation

I Hanski et al.

JOURNAL OF ANIMAL ECOLOGY (2006)

Article Entomology

Dispersal and influences on movement for Anoplophora glabripennis calculated from individual mark-recapture

JS Bancroft et al.

ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA (2005)

Article Multidisciplinary Sciences

Effects of landscape corridors on seed dispersal by birds

DJ Levey et al.

SCIENCE (2005)

Article Ecology

Dispersal behaviour in fragmented landscapes: Routine or special movements?

H Van Dyck et al.

BASIC AND APPLIED ECOLOGY (2005)

Article Ornithology

On the estimation of dispersal and movement of birds

WL Kendall et al.

CONDOR (2004)

Article Statistics & Probability

Biased movement at a boundary and conditional occupancy times for diffusion processes

O Ovaskainen et al.

JOURNAL OF APPLIED PROBABILITY (2003)

Article Ecology

Use of forest corridors by boreal Xestia moths

G Varkonyi et al.

OECOLOGIA (2003)

Article Statistics & Probability

Multistate recapture models: modelling incomplete individual histories

JD Lebreton et al.

JOURNAL OF APPLIED STATISTICS (2002)

Article Ecology

The matrix matters: Effective isolation in fragmented landscapes

TH Ricketts

AMERICAN NATURALIST (2001)

Article Statistics & Probability

An adaptive Metropolis algorithm

H Haario et al.

BERNOULLI (2001)