I’m trying to recreate the model from chapter 5.1 to estimate correlation from the book Bayesian Cognitive Modeling: A Practical Course using Turing. However, I keep running into an issue with MvNormal where it does not like the covariance matrix because it says that it is not positive semi-definite…

I think I am one step closer to a solution and @jkbest2 has the right idea. For Gamma distributions, I believe Distributions.jl parameterizes the Gamma distribution with shape \alpha and scale \theta while WinBUGS uses shape \alpha and mean parameter \mu = \alpha\theta. So the Gamma(0.001, 0.001) in…

Issue with MvNormal and Turing

Specific Domains Probabilistic programming

mohamed82008 February 3, 2021, 3:17pm 2

1 Like

Topic		Replies	Views
Bivariate normal in Turing Probabilistic programming	5	996	May 18, 2022
Turing: no method matching MvNormal(::Matrix{Float64}, ::Float64) Statistics question	4	760	October 5, 2021
Sampling predictive with MvNormal in Turing Probabilistic programming turing	2	150	June 7, 2024
Multivariate (multiple response) regression using matrixnormal in Turing General Usage	0	446	October 30, 2020
Specify a separate MvNormal for each observation of a variable in Turing Probabilistic programming turing	2	830	November 13, 2020

Issue with MvNormal and Turing

Related topics