I've tried to install pymc3 but the dependency issue still remained. C:\Users\sykan>conda install -c conda-forge pymc3 Channels: - conda-forge - defaults Platform: win-64 Collecting package me...

I am importing pymc3 and theano. Using jupyter notebook, python version 3.11.5.I have installed theano 1.0.5 and pymc3 3.11.4. However when I import theano and pymc3 as below: import numpy as np im...

As I understand it, context managers are used in Python for defining initializing and finalizing pieces of code (__enter__ and __exit__) for an object. However, in the tutorial for PyMC3 they show...

Recently, I upgraded macOS to macOS15 (Catalina) with the latest Anaconda Navigator (with Python 3.8). When I run pymc3, I encountered: INFO (theano.gof.compilelock): Waiting for existing lock by p...

I'm new to using pymc3, I've read Bayesian Methods for Hackers and done my best to work through existing survival analysis tutorials in pymc3. However, I don't understand how to write/interpret the...

I am struggling to implement a linear regression in pymc3 with a custom likelihood. I previously posted this question on CrossValidated & it was recommended to post here as the question is more...

I am trying to use pymc3 in an ipynb on Google Colab. Here is my code: regression_conjugate = pm.Model() with regression_conjugate: sigma2 = pm.InverseGamma("sigma2",alpha = 0.5*nu0,beta=0.5*lam...

I'm still learning the basics of working with PyMC3 so hopefully this isn't too painfully obvious in the documentation already. The basic idea is that I have put together my model, sampled it a bun...

I am new to working with pymc3 and I am having trouble generating an easy-to-read traceplot. I'm fitting a mixture of 4 multivariate gaussians to some (x, y) points in a dataset. The model runs fin...

I run into a common problem I'm wondering if someone can help with. I often would like to use pymc3 in two modes: training (i.e. actually running inference on parameters) and evaluation (i.e. using...

I'm attempting to write a custom Theano Op which numerically integrates a function between two values. The Op is a custom likelihood for PyMC3 which involves the numerical evaluation of some integr...

In pymc3 how does one configure a truncated normal prior? In pymc2 it's pretty straightforward (below), but in pymc3 it seems there is no longer a truncated normal distribution available. Pymc2: ...

I am using the following code to create a simple Model with PyMC3: import pymc3 as pm import theano.tensor as tt with pm.Model() as model: p = pm.Uniform("freq_cheating", 0, 1) p_skewed = pm.De...

I've been trying to implement Bayesian Linear Regression models using PyMC3 with REAL DATA (i.e. not from linear function + gaussian noise) from the datasets in sklearn.datasets. I chose the regres...

I am aware of the mathematical differences between ADVI/MCMC, but I am trying to understand the practical implications of using one or the other. I am running a very simple logistic regressione exa...

I am struggling with implementing a model where the concentration factor of the Dirichlet variable is dependent on another variable. The situation is the following: A system fails due to faulty c...

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 am learning PyMC3 for Bayesian modeling. You can create a model and sample with: import pandas as pd import pymc3 as pm # obs is a DataFrame with a single column, containing # the observed valu...

There are cases when I'm not actually interested in the full posterior of a Bayesian inference, but simply the maximum likelihood (or maximum a posterior for suitably chosen priors), and possibly i...

I'm still learning PYMC3, but I cannot find anything on the following problem in the docs. Consider the Bayesian Structure Time Series (BSTS) model from this question with no seasonality. This can ...

I'm relatively new to PYMC3 and I'm trying to implement a Bayesian Structure Time Series (BSTS) without regressors, for instance the model fit here in R. The model is as follows: I can implement...

I failed to fit a method belonging to an instance of a class, as a Deterministic function, with PyMc3. Can you show me how to do that ? For simplicity, my case is summarised below with a simple ex...

Is it possible to incrementally update a model in pyMC3. I can currently find no information on this. All documentation is always working with a priori known data. But in my understanding, a Bayes...

What are the returned values of find_MAP in pymc3 ? It seems that pymc3.Normal and pymc3.Uniform variables are not considered the same: for pymc3.Normal variables, find_MAP returns a value that lo...

I just finished the Bayesian Analysis in Python book by Osvaldo Martin (great book to understand bayesian concepts and some fancy numpy indexing). I really want to extend my understanding to bayes...