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Mar 13, 2021 · This isn't an answer, but I often find that methods I construct using JAGS have good Frequentist characteristics for the things I care about, and that the marginal distributions of the things I care about match what I get in STAN but are much faster to obtain. The mixing on things I don't care about might be very bad in these situations. I know from personal experience that (some on) the STAN ...
Feb 14, 2019 · I am a newcomer to Stan but quite a Stan enthusiast by now. Currently I am working on a Stan application involving a somewhat complex computation with a bunch of intermediate variables of which I would like to see one in the Stan output -- while trying to avoid adding too many of them to the output.
I'm trying to create a multilevel ordinal logistic regression model in Stan and the following code would seem to work, in the sense that Stan seems to convergence to sensible answers: stanmodel &...
Feb 11, 2021 · I fitted a stan_lmer model and tried to extract predicted (predict () function) but R suggested me to use posterior_predict () but cannot at this point plot the predicted vs observed plot, as I have a huge object that differ in lenght from the observed values
4. Given that xtrue [i]'s are constrained, Stan requires that these constraints are included in the variable declaration. To my knowledge, these constraints must be scalar quantities. Below, I worked around this requirement by considering auxillary parameters, xraw [i], which have a truncated normal distribution. m <- ".
Aug 13, 2017 · According to the Stan User Manual, the multinomial distribution figures out what N, the total count, is by calculating the sum of y. In your case, it will know that there were 7 subjects in the first row by calculating 0 + 1 + 6. Stan can't do this for the binomial distribution, since the data there is just the number of successes and not the ...
Stan究竟表达的是什么意思？《Stan》这首歌表达的意思是EMINEM希望他的歌迷们不要像STAN那样，要好好地活着。《Stan》是美国说唱歌手埃米纳姆（Eminem）与英国女歌手蒂朵（Dido）演唱的一首说唱歌曲，由埃米纳姆、蒂
May 30, 2018 · I was going through the Stan documentation which can be downloaded from here. I was particularly interested in their implementation of the Gelman-Rubin diagnostic. The original paper Gelman & R...
5. If you're an applied researcher who wants to learn more Bayes by using it for applications, I'd recommend starting with JAGS or Stan and then moving to writing your own MCMC if you find you 'need' to. Bear in mind that JAGS and Stan have slightly different strengths and limitations. – conjugateprior. Sep 14, 2016 at 12:38.
From the Stan reference v1.0.2 (pg 6, footnote 1) If no prior were specified in the model block, the constraints on theta ensure it falls between 0 and 1, providing theta an implicit uniform prior. For parameters with no prior specified and unbounded support, the result is an improper prior. Stan accepts improper priors, but posteriors must be ...
