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James Boyko

@jboyko.bsky.social
609 followers 620 following 4 posts
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James Boyko @jboyko.bsky.social · 17/01/2026
When @omearabrian.bsky.social saw the manuscript, he described it as: ‘What if this figure could be an entire paper?’ I choose to interpret that as high praise. Now accepted at AmNat: The geometry of macroevolution (with Dan Rabosky). www.journals.uchicago.edu/doi/10.1086/...
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James Boyko @jboyko.bsky.social · 18/11/2024
I wrote this about finding the optimal discrete character model structure. I hope this will be useful for empiricists. The main point is that relying only on the package default models is bad and can have nasty consequences or parameter estimates and ASR. www.biorxiv.org/content/10.1...
a potential nasty consequence. these are profile likelihoods for a default model (b/d) and a more model (a/c). (b/d) is what you'd get fitting a standard Pagel model with ARD. You get these horrible likelihood ridges for parameter estimates (e.g., b. theta4). But for the same dataset, there is a slightly non-standard model (non-standard in the sense of it's not ER/SYM/ARD) that has really nice statistical behavior
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