# HMMs for Behavior

Page: https://stenobird.com/podcast/data-skeptic/hmms-for-behavior
Text version: https://stenobird.com/podcast/data-skeptic/hmms-for-behavior.md
Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic)
Published: 2024-05-20T13:00:00+00:00
Episode link: https://dataskeptic.com/blog/episodes/2024/hmm-for-behavior
Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/hmm-for-behavior.mp3?dest-id=201630
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/hmms-for-behavior
Duration seconds: 2711

## Resource

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!

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## Transcript

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