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# Bayesian Linear Regression: What does letter "e" mean in my BF10 value?

edited March 2020

Hello, i have two questions regarding my linear regression results

1. My BF10 for one of the models is 2.12e+11.What does "e" and "+11" mean? Can i transform it into total value? I know how to interpret BF only as a total value.
2. Can you recommend any sources regarding how to report bayesian linear regression?

• I believe i understand it now. Does that mean that my BF is 2.12 + 11 times zero?

What does P(M), P(M|data) and BFm stand for? In below example, in normal linear regression predictor 2 is non-significant. If i understand correctly, those results suggest that model with 1 predictor is the best?

• Sorry about the delay! The "e" is scientific notation (https://en.wikipedia.org/wiki/Scientific_notation, see E-notation) for large numbers. So 2.12e+11 means 2.12 and then move the period 11 positions to the right, so it is 212000000000. In other words, a lot.

With respect to what the table means, here are two relevant papers:

and

Cheers,

E.J.