Publications

Consider sequential packing of unit volume balls in a large cube, in any dimension and with Poisson input.

This paper is concerned with Bayesian optimal filtering and smoothing of non-linear continuous-discrete state space models, where the state dynamics are modeled with non-linear Ito-type stochastic

The purpose of this monograph is to introduce both classic and recent capacity theorems for the the two-user Gaussian interference channel including both the single-antenna case and the multiple-an

We analyze the dynamics of the Learning-Without-Recall model with Gaussian priors in a dynamic social network.

Nearest neighbor cells in R(d), d is an element of N, are used to define coefficients of divergence (phi-divergences) between continuous multivariate samples.

We establish Gaussian limits for general measures induced by binomial and Poisson point processes in d-dimensional space.

The knowledge of the target speech presence probability in a mixture of signals captured by a speech communication system is of paramount importance in several applications including reliable noise

This paper presents an application of the firefly algorithm (FA) to Gaussian Process (GP)-based localization.

Previously, we have described a general theoretical procedure referred to as Gaussian-3 (G3) theory for the quantum chemical computation of total energies of molecules at their equilibrium geometri

In a previous paper, we described a general procedure referred to as Gaussian-3 (G3) theory for the quantum chemical computation of total energies of molecules at their equilibrium geometries.