Mathieu Fourment

[Matt Macaulay @mattapow]

So glad to share this work on Bayesian phylogenetics in hyperbolic space! Hyperbolic embeddings change trees from discrete objects into continuous parameters, giving “nearby” trees. https://t.co/wp4bI6YaLB

[Mathieu Fourment @m4ment]

Great opportunity to do a PhD on a relevant issue. 2 PhD scholarships available to develop realtime outbreak surveillance methods. Join @koadman and myself @ithreeinst. https://t.co/ozhibqrOut and https://t.co/5IXiMWO1Zo

[phyloseminar.org @phyloseminar]

Tomorrow Cheng Zhang
(Peking University) will be describing his work on
variational Bayesian phylogenetic inference. Tuesday, November 12, 4:00 PM PST
https://t.co/EKgJFyPkQm

[Mathieu Fourment @m4ment]

@avehtari @koadman @mcmc_stan Good eye. We don't mention it in the preprint but the relative tolerance we used was 0.001. As you said, the default value (0.01) was definitely too high.

[Mathieu Fourment @m4ment]

Today, most Bayesian phylogenetics uses MCMC. But there are other, potentially much faster ways to do Bayesian inference. In a new manuscript @koadman and I explore variational inference in the Stan language as an alternative https://t.co/KUsWAcdxaP