Is there an implementation of the Normal-Gamma distribution for Python? I have looked over the internet, including scipy, and could not find it.
In scikit-learn, the GaussianMixture object has the method bic(X) that implements the Bayesian Information Criterion to choose the number of components that bet
I am trying to fit simulated data to a hierarchical expected utility model, where the priors of the individual simulated subjects are informed by group level pr
I'm trying to replicate the three figures from the paper Bayesian statistics without tears: A sampling-resampling perspective, which can be fo
I am a new learner in PYMC3 and I installed the package recently and i tried to run a sample example from the pcmc3 avilbale examples which is this one: Binomia
Suppose you want to know how many people cheat on their taxes. If you ask them directly, it is likely that some of the cheaters will lie. You can get a more acc
How do I simulate a 6-side Dice roll using Pymc3? Also, what is I know that different sides of the dice have different distributions?
Two conceptually plausible methods of retrieving in-sample predictions (or "conditional expectations") of y[t] given y[t-1] from a bsts model yield different re
I am taking the plunge into Bayesian analysis for some new projects. I have some yes/no data, and three fixed effects and for the time being, I'm simply taking
My understanding of "an infinite mixture model with the Dirichlet Process as a prior distribution on the number of clusters" is that the number of clusters is d