Pymc Regression Tutorial -

: Tools like ArviZ allow you to plot posterior distributions or trace plots to check for convergence.

: You assign probability distributions to unknown parameters like the intercept ( ), slope ( ), and error ( ). Common choices include: pm.Normal for regression coefficients. pm.HalfNormal or pm.HalfCauchy for the standard deviation ( ) to ensure it remains positive. pymc regression tutorial

: This is the core formula, typically defined as mu = intercept + slope * x . : Tools like ArviZ allow you to plot