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Skip to Search Results- 4Auger-Méthé, Marie
- 4Derocher, Andrew E.
- 3DeMars, Craig A.
- 1Albertsen, Christopher M.
- 1Field, Chris
- 1Jonsen, Ian D.
- 4Biological Sciences, Department of
- 3Biological Sciences, Department of/Research Data and Materials (Biological Sciences)
- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
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- 1Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
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Caribou Data Set
2016-06-10
DeMars, Craig A., Derocher, Andrew E., Auger-Méthé, Marie
This the data associated with the manuscript: Auger-Méthé, M, AE Derocher, DA DeMars, MJ Plank, EA Codling, MA Lewis. Evaluating random search strategies in three mammals from distinct feeding guilds. Journal of Animal Ecology. In Press. The data is the step lengths and turning angles measured...
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Grizzly Bear Data Set
2016-06-10
DeMars, Craig A., Auger-Méthé, Marie, Derocher, Andrew E.
This the data associated with the manuscript: Auger-Méthé, M, AE Derocher, DA DeMars, MJ Plank, EA Codling, MA Lewis. Evaluating random search strategies in three mammals from distinct feeding guilds. Journal of Animal Ecology. In Press. The data is the step lengths and turning angles measured...
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Polar Bear Data Set
2016-06-10
Derocher, Andrew E., Auger-Méthé, Marie, DeMars, Craig A.
This the data associated with the manuscript: Auger-Méthé, M, AE Derocher, DA DeMars, MJ Plank, EA Codling, MA Lewis. Evaluating random search strategies in three mammals from distinct feeding guilds. Journal of Animal Ecology. In Press. The data is the step lengths and turning angles measured...
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State-space models' dirty little secrets: Even simple linear Gaussian models can have parameter and state estimation problems
Download2016-01-01
Auger-Méthé, Marie, Field, Chris, Albertsen, Christopher M., Derocher, Andrew E., Lewis, Mark A., Jonsen, Ian D., Mills Flemming, Joanna
State-space models (SSMs) are increasingly used in ecology to model time-series such as animal movement paths and population dynamics. This type of hierarchical model is often structured to account for two levels of variability: biological stochasticity and measurement error. SSMs are flexible....