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Volume 100 of @jstatsoft: Software for Bayesian Statistics

Guest editors: @micameletti & @precariobecario

20 contributions on a wide range of methods #rstats #python #bayesian #inla @mcmc_stan #nimble #brms #rjags

URL: jstatsoft.org/v100 Editorial for the special volume 100 in the Journal of Stati
Van Niekerk, Bakka, Rue, Schenk:

New Frontiers in Bayesian Modeling Using the INLA Package in R

#rstats #inla #bayesian

doi.org/10.18637/jss.v…
Michaud, De Valpine, Turek, Paciorek, Nguyen:

Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages

#rstats #bayesian #nimble

doi.org/10.18637/jss.v…
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1/n
Someone asked me recently what resources I’d recommend for furthering one’s introduction to Bayesian statistics after going through @rlmcelreath's text (xcelab.net/rm/statistical…) and my accompanying project (bookdown.org/connect/#/apps…).

Here are my thoughts:
2/n
It probably goes without saying, but just in case you missed it, make sure you check out McElreath’s lectures on his text, too youtube.com/channel/UCNJK6…. He has three semester’s worth and they’re overall really great.
3/n
And plus, I also like his sand-alone lecture on “Bayesian Statistics without Frequentist Language” . It’s more conceptual than applied, but we could all probably do with a little more philosophy of statistics in our lives.
Read 18 tweets

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