In an observational study, one is given disjoint samples of treatment units and control (untreated) units, the goal to compare outcomes between two in order estimate a effect. A complication that often differ on important pre-treatment attributes, these differences, referred as covariate imbalance, can bias estimate. One method correct for imbalance select subset sample has minimum with respect...

Glottal flows and sound pressure waveforms of four different fundamental frequencies were generated using a computational model of vocal fold vibration and acoustic wave propagation in order to evaluate the performance of an inverse filtering method. Four time-based parameters of the glottal flow were used in order to assess the accuracy of the inverse filtering technique. The results show that...

In the analysis of speech production, glottal inverse filtering has proved to be an effective yet non-invasive method for obtaining information about the voice source. One of the main challenges of the existing methods is blind estimation of the contribution of the lip radiation, which must often be manually determined. To obtain a fully automatic system, we propose an automatic method for dete...

These notes have quite uneven levels of depth. They were prepared for a course to talented undergraduates at the Nangyang University of Technology for May 2006. The idea is that several different courses could be made from the notes. For example, the flow material could be covered quickly, only pointing at the main ideas, such as max-flow/min cut and applications, for really advanced students. ...

Given an instance of the minimum cost flow problem, a version of the corresponding inverse problem, called the capacity inverse problem, is to modify the upper and lower bounds on arc flows as little as possible so that a given feasible flow becomes optimal to the modified minimum cost flow problem. The modifications can be measured by different distances. In this article, we consider the capac...

In this paper, we study inverse optimization problems defined as follows: Let S denote the set of feasible solutions of an optimization problem P, let c be a specified cost vector, and x0 be a given feasible solution. The solution x0 may or may not be an optimal solution of P with respect to the cost vector c. The inverse optimization problem is to perturb the cost vector c to d so that x0 is a...