Carlos Traynor

The implementation of survreg shouldn't be difficult as you say the full data likelihood is concave, not a problem. What it's for sure more tricky is the coxph , which...

Hi @avehtari , well, I agree I have not yet read any paper that uses a Cox Bayesian model. However, there is an excellent work made by @jburos that goes...

Hi, I would like to say sorry for my previous comment in this thread: it was a while ago and I really did not undertand at the time what this...

Ok, after re-reading your paper I think I understand the bit of maximising the log-posterior-likelihood, am I correct? Would then be a good start to plug in the log-likelihood for...

Hello, I have been looking into this more recently. First, for most common parametric models i.e. Weibull, exponential, Gomeprtz, computing pseudo-observations is an easy task as one can rely on...

Hi Aki @avehtari I moved my question to Discourse as I though maybe it fits more. https://discourse.mc-stan.org/t/using-projpred-for-survival-and-bespoke-models/13655

Hi, I wanted to add to this thread and to the discussion we had in the forums a while ago, that finally, I have checked out the idea of projecting...

Edit to my previous post: Small caveats are that I am preparing it only for a user case of an stan_surv object fitted with rstanarm. So the methods are subject...

Hi @AlejandroCatalina thanks for the good work on the alpha release. I am happy to collaborate. I am doing comparisons of varsel for survival as part of my thesis. In...

> I'm opening this issue so there is a forum in which to discuss progress on getting survival models into **rstanarm**. > > I've started a new survival branch [here](https://github.com/stan-dev/rstanarm/tree/survival)....