I am working through a question for a class taught in R and I am trying to recreate the class examples in Julia. Now that we have started doing bayesian regression I have hit a bit of a learning curve, because I am doing things using the Turing package, while the class is using rstanarm. Here is the…

Hi, a few notes. First, rstanarm (and brms, bambi, etc) do a lot of convenient transformations/rescaling automatically to improve sampling efficiency that you will need to do yourself if you write the model in Turing (or Stan, etc). I highly recommend reading Prior Distributions for rstanarm Models…

Best practices for weak and uninformative priors in Turing

Specific Domains Statistics

charperflow April 19, 2022, 5:29pm 6

UPDATE: I applied the same scaling used by rstanarm and things improved dramatically Thank you !

3 Likes

Topic		Replies	Views
Simple multi-parameter bayesian linear regression returning un-expected results! Statistics statistics , turing , bayesian-inference	14	969	August 9, 2022
Converting a BUGS model to Turing, simple linear regression Probabilistic Programming	5	916	August 31, 2021
Turing.jl: fix some parameters to prior distribution Probabilistic Programming	14	2190	June 10, 2020
Learning Bayesian data analysis using Julia Statistics	22	11646	October 16, 2018
New Bayesian Statistics tutorials with Turing Probabilistic Programming turing	25	4728	July 15, 2022

Best practices for weak and uninformative priors in Turing

Related topics