Data Skeptic HMMs for Behavior
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May 20, 2024 
Ecologist Théo Michelot discusses applying Hidden Markov Models to analyze time-series data in ecology. Topics include turning GPS observations into behavioral data, complexities of modern data sets, and challenges in modeling animal movements. The podcast delves into the importance of collaboration between ecologists and statisticians for successful research.
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Ecological Data
- Tracking data includes GPS locations and accelerometer readings from animals.
- These time series data require specialized time series models for analysis.
Movement Modeling
- Simple random walks are basic models for animal movement.
- More complex models, like HMMs, are needed to account for changing behaviors over longer periods.
Ant Colony Behavior
- A study used HMMs to analyze ant colony behavior based on filmed data.
- The goal was to identify high and low activity periods related to resource availability.