no code implementations • 7 Jan 2021 • Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker
The basis graphical lasso writes a univariate Gaussian process as a linear combination of basis functions weighted with entries of a Gaussian graphical vector whose graph is estimated from optimizing an $\ell_1$ penalized likelihood.
