PhD student at Karolinska Institutet, NRU Rigshospitalet, and DIKU UCPH
If I'm not mistaken, if we take \hat{x_i} as the mean, we get for E[\delta_{x_i}^2] = E[(xi-\hat{x_i})^2] = Var(X).
If I'm not mistaken, if we take \hat{x_i} as the mean, we get for E[\delta_{x_i}^2] = E[(xi-\hat{x_i})^2] = Var(X).
Or, to be more correct, the story of Imaging Neuroscience reminds me very much of JMLR :D
I think that's the right way to go. Are there any other journals with similar stories that I'm not aware of?
Or, to be more correct, the story of Imaging Neuroscience reminds me very much of JMLR :D
I think that's the right way to go. Are there any other journals with similar stories that I'm not aware of?