Can a variable be used as 'observed' data in a PyMC3 model?...

How to find difference in mean using MCMCregress command?...

How do i sample the posterior distribution for the regression coefficients?...

R alternatives to JAGS/BUGS...

Stan Polynomial Regression Parameter Estimation Model Review...

Bayesian Time Series Analysis with MCMC using the Function bsts() in the bsts Package...

lapply instead of for loop for randomised hypothesis testing r...

effective sample size 2d array using arviz and pymc3 mcmc...

Gibbs sampler fails to converge...

ggplot equivalent of gelman.plot MCMC diagnostic in r...

why is my python implementation of metropolis algorithm (mcmc) so slow?...

Extracting posterior modes and credible intervals from glmmTMB output...

What is the differnce between simulation and estimation in bayesian statistics?...

Markov Chain Monte Carlo integration and infinite while loop...

Can't replicate RStan ESS code from Vehtari paper...

How to create a multivariate linear model with phylogenetic correction?...

Corner plot add another point...

How to define custom distributions in JAGS?...

MCMCglmm multinomial model in R...

Why does pymc3 run even when I don't include any observations?...

Extract posterior estimate and credible intervals for random effect for lme4 model in R...

Is there a way to use ggs_caterpillar to compare two models on the same facet, all parameters are sh...

How to batch a transformed (scaled and quantized) Beta distribution in tensorflow probability...

PyMC3: Giving a Different Result Every time...

How to include data measurement uncertainty in stan/pystan...

Matrix with simplex columns in stan...

coda gelman.diag(): "Error in chol.default(W) : the leading minor of order nn is not positive d...

How can re-train my logistic model using pymc3?...

How to sample from a custom distribution when parameters are known?...

Is it it possible to accelerate the training of the Bayesian structural time series model (BSTS) by ...