In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
In this paper, we tackle the problem of interference mitigation in ad hoc networks. In such context, the multiple access interference (MAI) is known to be of an impulsive nature. ...
Nouha Jaoua, Emmanuel Duflos, Philippe Vanheeghe, ...
— This paper proposes a low-complexity model for vertical antenna radiation patterns, e.g. for inclusion in systemlevel simulations. They can be seen as extensions to the horizon...
Fredrik Gunnarsson, Martin N. Johansson, Anders Fu...
In this paper, we focus on the design of Markov Chain Monte Carlo techniques in a statistical registration framework based on finite element basis (FE). Due to the use of FE basis...
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...