Discover New Methods for Dealing with High-Dimensional
A sparse statistical model has only a small number of nonzero
parameters or weights; therefore, it is much easier to estimate
and interpret than a dense model. Statistical Learning
with Sparsity: The Lasso and Generalizations presents
methods that exploit sparsity to help recover the underlying
signal in a set of data.
Top experts in this rapidly evolving field, the... more...