3 citations · 3 across the 2 of their papers we have counts for
6 papers
A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy
Angela Andreella, Antonietta Mira, Spyros Balafas +5
Italy, particularly the Lombardy region, was among the first countries outside of Asia to report cases of COVID-19. The emergency medical service called Regional Emergency Agency (…
A stochastic SIR model for the analysis of the COVID-19 Italian epidemic
Sara Pasquali, Antonio Pievatolo, Antonella Bodini +1
We propose a stochastic SIR model, specified as a system of stochastic differential equations, to analyse the data of the Italian COVID-19 epidemic, taking also into account the un…
Duality between Approximate Bayesian Methods and Prior Robustness
Chaitanya Joshi, Fabrizio Ruggeri
In this paper we show that there is a link between approximate Bayesian methods and prior robustness. We show that what is typically recognized as an approximation to the likelihoo…
Validation of a computer code for the energy consumption of a building, with application to optimal electric bill pricing
M. Keller, G. Damblin, A. Pasanisi +4
In this paper, we propose a practical Bayesian framework for the calibration and validation of a computer code, and apply it to a case study concerning the energy consumption forec…
Likelihood-free parameter estimation for dynamic queueing networks: case study of passenger flow in an international airport terminal
Anthony Ebert, Ritabrata Dutta, Kerrie Mengersen +3
Dynamic queueing networks (DQN) model queueing systems where demand varies strongly with time, such as airport terminals. With rapidly rising global air passenger traffic placing i…
Adversarial classification: An adversarial risk analysis approach
Roi Naveiro, Alberto Redondo, David Ríos Insua +1
Classification problems in security settings are usually contemplated as confrontations in which one or more adversaries try to fool a classifier to obtain a benefit. Most approach…