Hi,
I was wondering if someone could help me understand what "conditional=True" does in predict for MarkovAutoregression. The docs say it makes predictions conditional on the current regime if it True. Usually the output from predict() is an array with a shape like (4939,)
When you add conditional=True and using 2 regimes and an order of 1, it outputs a shape like this
(2, 4939)
What is the second array?
I also noticed when you make conditional=3, it outputs a shape like this
(2, 2, 4939)
What's is the extra data?
Thanks,
Brian