We have a new preprint on covariate-driven #HMMs!
doi.org/10.48550/arX...
@olemole.bsky.social, @rolandlangrock.bsky.social
• commonly used hypothetical stationary distribution can be biased⚠️
• we propose 2 approaches allowing unbiased inference
• simulations and case study on Galápagos tortoises🐢🗺️

Periodically stationary distribution (probability that the fly is active) as a function of the time of day. True stationary distribution is compared to biased approximation, and we see a substantial difference.

Our paper on #HMMs with periodically ⏰ varying transition probabilities is published! 🎉 @carlinafeldmann.bsky.social, Sina Mews, @rmichels.bsky.social @rolandlangrock.bsky.social

doi.org/10.1214/25-AOAS2107

We derive the periodically #stationary distribution and the implied dwell-time distribution

Want to learn how to build and calibrate #HMMs, run & parse #HMMER3 programs & output efficiently on the #Linux command line using #AWK, #Bash, and #R code/idioms? This detailed hands-on tutorial may help you 👉 rb.gy/tz8tsl #bioinformatics #alignments #profileHMM #LCG-UNAM #UNAM 💻🤓👩‍💻🧑‍💻 👇