: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...
Group-Lasso estimators, useful in many applications, suffer from lack of meaningful variance estimates for regression coefficients. To overcome such problems, we propose a full Ba...
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edga...
The fair bandwidth allocations can isolate flows and protect well-behaved flows from ill-behaved ones. CSFQ (Core Stateless Fair Queueing) achieves the approximate fairness by d...
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
—We present a detection scheme for multiple-symbol DPSK for use in a statistically unknown time-varying channel. The scheme relies on a parametric representation of the timevaryi...