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Nathalie Peyrard
Statistical Approaches for Hidden Variables in Ecology
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Страница 7
Страница 8
Страница 9
Introduction
I.1. Hidden variables in ecology
I.2. Hidden variables in statistical modeling
I.3. Statistical methods
I.4. Approach and structure of our work
I.5. Directions for further perspectives
I.6. References
Страница 17
1
Trajectory Reconstruction and Behavior Identification Using Geolocation Data
1.1. Introduction
1.1.1.
Reconstructing a real trajectory from imperfect observations
1.1.2.
Identifying different behaviors in movement
1.2. Hierarchical models of movement 1.2.1.
Trajectory reconstruction model
1.2.1.1.
Overview
1.2.1.2.
Inference
1.2.1.3.
Filtering and smoothing a trajectory
1.2.2.
Activity reconstruction model
1.2.2.1.
Overview
1.2.2.2.
Choice of observation metric
1.2.2.3.
Covariates inclusion
1.2.2.4.
Example: a three-state HMM with Gaussian emission
1.2.2.5.
Inference
1.2.2.6.
Reconstruction of hidden states
1.2.2.7.
Choosing the number of activities
1.3. Case study: masked booby,
Sula dactylatra
(originals)
1.3.1.
Data
1.3.2.
Projection
1.3.3.
Data smoothing
1.3.4.
Identification of different activities through movement
1.3.4.1.
Definition of metrics
1.3.4.2.
Defining the starting point of the algorithm
1.3.5.
Results
1.3.5.1.
Characterization of hidden states
1.3.5.2.
State uncertainty
1.3.5.3.
Inclusion of the nest distance covariate
1.3.5.4.
Choosing a number of states
1.4. References
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