Summary: weekly mtg 20160330 (Byron, Steve, Matt, me) - mobeets/nullSpaceControl GitHub Wiki
External
- talk to Doug (Byron: it could work, but how?)
- email alan about BCY
Covariance Error
- Why is cov error big for single kinematics? (spiky, not smooth)
- understand coverror units
- understand coverror itself
Other error metrics
- can we get a single number?
- timepoint by timepoint, still binned by kinematics
- find new error floor, say samping from the same observed but randomly
- shuffling actuals to get null distribution
- any method of comparing two distributions
- matt's method
- candidate points: simplex points
- any distance metric, like KL-divergence
- could it be non-parametric? or parametric
Learning and behavior
- compare behavior by kinematics to errors by kinematics, in single plot
Conditional hypothesis
- isn't just the same as fitting conditional gaussian distribution of (YN1,...YN8 | YR)
- just fit 10-d gaussian, then find conditional distributions
- is this is the same?