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Bayesian Modeling and Probabilistic Programming in Python
## Description of your problem Can't initialize the Empirical approximation ```python with pm.Model() as model: v = pm.Normal("a") trace = pm.sample() emp = pm.Empirical(trace) ``` **Please provide the full traceback.**...
I am trying to use AutomatedRecommendationTool - A machine learning Automated Recommendation Tool for guiding synthetic biology. It uses pymc3. But there are some issues regarding the compiler. Following is...
## Description of your problem **Please provide a minimal, self-contained, and reproducible example.** On Linux, ```bash conda create -y --name pymc4-5875 -c conda-forge python=3.9 conda activate pymc4-5875 conda install -y...
## Description of your problem **Running the example: SMC-ABC_Lotka-Volterra_example.** exactly as is. Getting the error down below. Thanks! ```python with pm.Model() as example: a = pm.Normal("a", mu=0, sigma=5) b =...
## Description of your problem **Please provide a minimal, self-contained, and reproducible example.** We are unable to run pymc3 tests on our CI with version 3.11.5 with a weird error...
We need to update https://github.com/pymc-devs/pymc/blob/main/GOVERNANCE.md#institutional-partners-and-funding to reflect the reality. Here is what it currenly says: ``` Tier 1 = an institution with at least one Institutional Council Member Acknowledged on...
When I am doing the Stochastic Volatility Model example, I had a bug as follows:  It was at the step of executing the code of building the stochastic volatility...
This question came up during office hours: __Which sampler stat should be used to answer how often a model was evaluated during MCMC?__ @junpenglao @ColCarroll For example, these variables are...
I am migrating this discussion from [Discourse](https://discourse.pymc.io/t/marginal-student-t-process-and-misleading-parameters/867): > ... It seems like `cov_func` and `cov` are misleading parameter names, since they aren’t actually the covariances of the distributions. Rather, they...
## Description of your problem I have a model that compiles correctly when the priors are represented as numpy arrays, but that gets a shape error when those numpy arrays...
