Weitzman (1998) showed that when future interest rates are uncertain, using the expected net present value implies a term structure of discount rates that is decreasing to the smallest possible interest rate. On the contrary, using the expected net future value criteria implies an increasing term structure of discount rates up to the largest possible interest rate. We reconcile the two approach...

Weitzman (1998) showed that when future interest rates are uncertain, using the expected net present value implies a term structure of discount rates that is decreasing to the smallest possible interest rate. On the contrary, using the expected net future value criteria implies an increasing term structure of discount rates up to the largest possible interest rate. We reconcile the two approach...

Expectation Maximization (EM) [4, 3, 6] is a numerical algorithm for the maximization of functions of several variables. There are several tutorial introductions to EM, including [8, 5, 2, 7]. These are excellent references for greater generality about EM, several good intuitions, and useful explanations. The purpose of this document is to explain in a more self-contained way how EM can solve a...

Security is a critical issue in full duplex (FD) communication systems due to the broadcast nature of wireless channels. In this paper, joint design of information and artificial noise beamforming vectors is proposed for the FD simultaneous wireless information and power transferring (FD-SWIPT) systems with loopback self-interference cancellation. To guarantee high security and energy harvestin...

The area under the ROC curve (AUC) is a measure of interest in various machine learning and data mining applications. It has been widely used to evaluate classification performance on heavily imbalanced data. The kernelized AUC maximization machines have established a superior generalization ability compared to linear AUC machines because of their capability in modeling the complex nonlinear st...

A theoretical model of social empathic emotion is derived based on the principles of survival by extending the maximization of self-gains to include others as an extended-self. This extended-self model of optimization for survival provides the computational mechanisms in the optimization process to maximize self-gains without minimizing the gains (or maximizing losses) for the other individuals...