Frequently Asked Questions (10)
About the Questions category (1)
Getting the current sample variable value so it can be used to compute the observed inputs in a secondary model likelihood (6)
Reparametizing Gelman's rat tumour example (4)
Understanding the Predictive Covariance of Gaussian Processes (2)
Probability that a given constraint is observed (5)
Model definition inside of a function - not recognized (2)
Pymc3.model likelihood evaluation for given prior sample (3)
Adding constraint to the parameter (18)
Minibatch and NUTS (12)
Markov decision processes with PyMC3 (4)
pymc3.distributions.transforms.Ordered not found (4)
Using ADVI refine (6)
Hierarchical Regression Model with Multiple Predictors (2)
Truncated normal distribution with optimal truncation thresholds via DensityDist (9)
Memory Leak on AWS EC2 (1)
Bounding Output and Potential Values (5)
Dealing with imputation of left censored multivariate normal distribution (8)
Conditional multivariate sampling (6)
Dealing with Unbalanced Data with Minibatches (14)
GP.Marginal_likelihood without noise (3)
Estimate Ornstein-Uhlenbeck Parameters with Euler Maruyama (6)
Array index generated by Categorical Distribution (3)
Multiprocess sampling without using Pickle (3)
Save and reuse model with shared variables (3)
Trouble with Initilization and Posterior Sampling (14)
Metropolis sampler do not sample (traceplot gives flat plots) (12)
Highest Density Regions (HDR) misunderstanding (6)
How to model/deal with weighted binary outcomes (9)
Defining an array to store RV before they are introduced in the likelihood (5)