38 citations · 94 across the 12 of their papers we have counts for
12 papers
A bivariate two-state Markov modulated Poisson process for failure modelling
Yoel G. Yera, Rosa E. Lillo, Bo F. Nielsen +2
Motivated by a real failure dataset in a two-dimensional context, this paper presents an extension of the Markov modulated Poisson process (MMPP) to two dimensions. The one-dimensi…
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 (…
Current Overview of Statistical Fiber Bundles Model and Its Application to Physics-based Reliability Analysis of Thin-film Dielectrics
James U. Gleaton, David Han, James D. Lynch +2
In this paper, we present a critical overview of statistical fiber bundles models. We discuss relevant aspects, like assumptions and consequences stemming from models in the litera…
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…
Computationally Efficient Simulation of Queues: The R Package queuecomputer
Anthony Ebert, Paul Wu, Kerrie Mengersen +1
Large networks of queueing systems model important real-world systems such as MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals. To model suc…
Modelling the Proliferation of Terrorism via Diffusion and Contagion
Gentry White, Fabrizio Ruggeri, Michael D. Porter
The proliferation of terrorism is a serious concern in national and international security, as its spread is seen as an existential threat to Western liberal democracies. Understan…
A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions
Fabrizio Ruggeri, Zaid Sawlan, Marco Scavino +1
In this work we develop a Bayesian setting to infer unknown parameters in initial-boundary value problems related to linear parabolic partial differential equations. We realistical…
Imprecise Dirichlet Process with application to the hypothesis test on the probability that X< Y
Alessio Benavoli, Francesca Mangili, Fabrizio Ruggeri +1
The Dirichlet process (DP) is one of the most popular Bayesian nonparametric models. An open problem with the DP is how to choose its infinite dimensional parameter (base measure)…