Hello, PyMC community! First of all, thanks a lot for CausalPy and including so many designs to it. I’ve got a couple of questions about Interrupted Time Series design and the Intervals it’s providing and would appreciate your help understanding a couple of points. 1. Please suggest theory on why …

[image] aabugaev: Can you please say whether such concepts exist in Bayesian framework and which concept is closer to what is being used in Interrupted time series? I realise I didn’t answer this question. At the moment we just calculate the posterior predictive distributions and make all the…

CausalPy - Evaluating uncertainty for Interrupted time series

Questions version agnostic

aabugaev March 2, 2024, 11:47am 10

Hey, @drbenvincent ! No worries!
Thanks a lot for the feedback and your previous answers. I am inspired to see where CausalPy goes!

1 Like

Topic		Replies	Views
CausalPy - Intuition behind calculation of causal impact and treatment time inputs version agnostic time_series , modeling , causalpy	8	211	July 29, 2025
Computing Credible Intervals for Predictions Questions	0	1595	August 12, 2021
Computing Prediction Intervals without sampling Questions	4	1053	May 16, 2018
The 95% interval of PyMC3 trace doesn't cove the real values Questions	8	1863	July 21, 2017
Prediction Interval Questions	3	490	March 13, 2020

CausalPy - Evaluating uncertainty for Interrupted time series

Related topics