Episode

HMMs for Behavior

Podcast
Data Skeptic
Published
May 20, 2024
Duration seconds
2711
Processing state
failed
Canonical source
https://dataskeptic.com/blog/episodes/2024/hmm-for-behavior
Audio
https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/hmm-for-behavior.mp3?dest-id=201630
JSON
/v1/public/podcasts/data-skeptic/episodes/hmms-for-behavior
Markdown
/podcast/data-skeptic/hmms-for-behavior.md

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Summary

Théo Michelot has made a career out of tackling tough ecological questions using time-series data. How do scientists turn a series of GPS location observations over time into useful behavioral data? GPS tech has improved to the point that modern data sets are large and complex. In this episode, Théo takes us through his research and the application of Hidden Markov Models to complex time series data. If you have ever wondered what biologists do with data from those GPS collars you have seen on TV, this is the episode for you!