This paper investigates the efficient solution of penalized quadratic
re...
Analysis of networks that evolve dynamically requires the joint modellin...
Datasets containing both categorical and continuous variables are freque...
Estimation of the precision matrix (or inverse covariance matrix) is of ...
Recent technological advances have made it possible to collect
high-dime...
We propose a first-order autoregressive model for dynamic network proces...
Quadratic regression goes beyond the linear model by simultaneously incl...
The estimation of high dimensional precision matrices has been a central...
Quadratic discriminant analysis (QDA) is a standard tool for classificat...