The estimation of spatial processes from sparse sensing nodes is fundamental for many
applications, including environmental monitoring and crowd-sourcing. In this paper, we …

Since stochastic approximation (SA) based algorithms are easy to implement and need less
memory, they are very popular in distributed stochastic optimization problems. Many works …

This paper addresses the distributed computation of exact, nonasymptotic confidence
regions for the parameter estimation of a linear model from observations at different nodes of …

Getting confidence regions for parameter estimates obtained from data collected by a
wireless sensor network (WSN) is very important to assess the performance of the estimator …

Questa tesie centrata sugli aspetti di efficienza energetica nelle reti wireless, sia per quanto
riguarda la trasmissione, sia per quanto concerne la diffusione dell'informazione in reti …

In the near future, a world of smart cities is envisioned in which many devices equipped with
sensors and communication interfaces can be used to collect and share data in order to …

This paper considers the distributed computation of confidence regions tethered to
multidimensional parameter estimation under linear measurement models. In particular, the …