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Hello - I just had a quick question regarding whether FastSurfer segments the Anterior Commissure and Posterior Commissure. I know that as of 2020, Freesurfer does not, so I just wanted to check.
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In your posterior, you use the stochastic state of the prior. But in RSSM they only use the deterministic state, and observation embedding. Since the prior's stochastic state is just a function of the…
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BARN models currently only return a single ensemble from the posterior distribution (i.e. a single MCMC replicate). BART, however, allows returning an average over *multiple* MCMC iterations. Doing …
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rstan is currently required for testing convergence but we can remove this dependency if we instead use the functionality from the `posteriors` package.
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https://github.com/microsoft/VQ-Diffusion/blob/16dc744405e59ed1833513ebb1db87d6263d38be/image_synthesis/modeling/transformers/diffusion_transformer.py#L244
q_pred(log_x_start, t) is the forward comp…
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The latest cmdstanr supports using (random draws from) a previous fit as inits. This is especially useful when using pathfinder to initialize HMC. It would be useful to have it in brms as well, either…
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I'm trying to think of a clean solution for this one that isn't just "make the user write the distribution sampling function themselves".
Are custom likelihoods a niche enough feature that this lev…
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Hi Paul,
Thank you for your kind words about the use-case table I put together in an attempt to illustrate when one would want to use **posterior_epred()** versus **posterior_predict()** in the co…
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**Use case:**
In assisted history matching (iter-0, iter-1, ..., iter-3), the user would like to see parameters that has changed the "most" when matching observations. E.g. easily find the paramete…
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Hello! I've been investigating something that was initially flagged by Noah (@nweaverd), where the posterior reported by the importance sampler and polychord sampler slightly differ in some cases even…