Now a days, power has become a primary consideration in hardware design, and is critical in computer systems especially for portable devices with high performance and more functio...
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
In this paper, we propose an approach to find the optimal position of an electrode, for assisting surgeons in planning Deep Brain Stimulation. We first show how we formalized the...