I am trying to run an MCMC to find the posterior of parameters of my model using Turing. The setup I have currently is the model itself, and a randomly sampled dataset I run through the model to yield values from the model. I also have observations for the inputs and outputs with errors. I’m then us…

[image] astro-kevin: But I don’t quite know how I’d make it into a multivariate one because yobs has arbitrary length and because what xobs is varies. Take a subsample of your y and x values and pass that to your turing model. Within a given fit, the x and y data values are constant.

Parameter Fitting in Turing

Specific Domains Probabilistic Programming

dlakelan October 11, 2022, 5:39pm 14

Take a subsample of your y and x values and pass that to your turing model. Within a given fit, the x and y data values are constant.

Topic		Replies	Views
Turing Sampling specified parameters Probabilistic Programming question , turing , distributions	40	1014	November 28, 2022
Turing package(s) + parameter estimation for DiffEq models? New to Julia	38	1610	August 7, 2020
Some question about the structure of Turing models Probabilistic Programming question , turing	25	2899	November 6, 2020
Obtaining the posterior distribution of parameters in Turing using the MCMC method Probabilistic Programming turing	3	799	October 22, 2022
Speeding up MCMC for logistic regression with large datasets using Turing or some alternative Statistics question	2	710	March 12, 2020

Parameter Fitting in Turing

Related topics