From Pytorch-Pyro's website: We’re excited to announce the release of NumPyro, a NumPy-backed Pyro using JAX for automatic differentiation and JIT compilation, with over 100x speedup for HMC and...

I used 'Anglican' which is based on Clojure, and I think that is not good for me. Bad documents and a too small community to find help. Also, I still can't get familiar with the Scheme-based langua...

I am trying to wrap my head around the concept of probabilistic programming but the more I read, the more I feel confused. My understanding at this point in time is that probabilistic programming ...

I am trying to run the following model, but it fails during compilation: import numpy as np import pymc3 as pm def sample_data(G=1, K=2): # mean proportion ([0,1]) for each g p_g = np.random.b...

I'm trying to adapt the text message example from Cameron Davidson-Pilon's Bayesian Methods for Hackers, Chapter 1, "Introducing our first hammer: PyMC" to handle multiple observations. The solutio...

How can one use pymc to parameterize a probabilistic graphical model? Suppose I have a PGM with two nodes X and Y. Lets say X->Y is the graph. And X takes two values {0,1}, and Y also takes tw...

I am trying to fit some data with a Gaussian (and more complex) function(s). I have created a small example below. My first question is, am I doing it right? My second question is, how do I add...

I have a list of n observations, each of which is the sum of two Weibull-distributed variables: x[i] = t1[i] + t2[i] t1[i] ~ Weibull(shape1, scale1) t2[i] ~ Weibull(shape2, scale2) My goal is: ...