Antonio Pievatolo

Research Director

Degree in Statistical Sciences and PhD in Statistics from Padua University. I have been with IMATI CNR since 1997

Research Activity

My main body of research belongs broadly to industrial statistics. In particular, I like to address problems in engineering and technology using stochastic modelling tools, with a preference for Markov and point processes. My main contributions can be found in the application of stochastic modelling to reliability and to electrical power systems. As far as statistical inference is concerned, I have often followed the Bayesian approach, but I also like the frequentist approach, depending on which one is more effective for the problem at hand.

Follow this link for the institutional repository of my publications.


Projects


Publications

2026, Journal article
Spatio-temporal jump model for urban thermal comfort monitoring
Cortese, Federico P.; Pievatolo, Antonio

CNR@IRIS | DOI: 10.1007/s00477-026-03221-2
2025, Journal article
Short to long term space-time prediction of rain-induced landslides under uncertainty
Mondini, Alessandro C.; Guzzetti, Fausto; Melillo, Massimo; Pievatolo, Antonio

CNR@IRIS | DOI: 10.1016/j.scitotenv.2025.179453
2025, Journal article
Statistical jump model for mixed-type data with missing data imputation
Cortese, F. P.; Pievatolo, A.

CNR@IRIS | DOI: 10.1007/s11634-025-00631-y
2024, Journal article
A Review of Degradation Models and Remaining Useful Life Prediction for Testing Design and Predictive Maintenance of Lithium-Ion Batteries
Patrizi, Gabriele; Martiri, Luca; Pievatolo, Antonio; Magrini, Alessandro; Meccariello, Giovanni; Cristaldi, Loredana; Nikiforova, Nedka Dechkova

CNR@IRIS | DOI: 10.3390/s24113382
2024, Journal article
Bayesian Assessment of Corrosion-Related Failures in Steel Pipelines
Ruggeri, Fabrizio; Cagno, Enrico; Caron, Franco; Mancini, Mauro; Pievatolo, Antonio

CNR@IRIS | DOI: 10.3390/e26121111
2022, Journal article
Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic
A. Bodini, S. Pasquali, A. Pievatolo, and F. Ruggeri

CNR@IRIS | DOI: 10.1007/s00477-021-02081-2
2021, Journal article
Decisions in risk and reliability: An explanatory perspective
A. Pievatolo, F. Ruggeri, R. Soyer, and S. Wilson

CNR@IRIS | DOI: 10.3390/stats4020017
2020, Journal article
A Bayesian approach for site-specific wind rose prediction
A. Lepore, B. Palumbo, and A. Pievatolo

CNR@IRIS | DOI: 10.1016/j.renene.2019.12.137
2020, Editorial in journal
Foreword
Antonio Pievatolo and Bart De Ketelaere

CNR@IRIS | DOI: 10.1002/qre.2801
2019, Journal article
A comminution model with homogeneity and multiplication assumptions for the Waste Electrical and Electronic Equipment recycling industry
M. Diani, A. Pievatolo, M. Colledani, and E. Lanzarone

CNR@IRIS | DOI: 10.1016/j.jclepro.2018.11.084
2019, Editorial in journal
Special issue of ASMBI for GDDR 2017 FOREWORD
A. Pievatolo, D. Rios Insua, and S. Wilson

CNR@IRIS | DOI: 10.1002/asmb.2461
2018, Journal article
The uncertainty declaration of building acoustics measurements: How to select the uncertainty of reproducibility from inter-laboratory tests
C. Scrosati, A. Pievatolo, and M. Garai

CNR@IRIS | DOI: 10.3813/AAA.919172
2018, Journal article
Time and magnitude monitoring based on the renewal reward process
S. Ali and A. Pievatolo

CNR@IRIS | DOI: 10.1016/j.ress.2018.01.004
2017, Journal article
Defect minimization and feature control in electrospinning through design of experiments
M. Borrotti, E. Lanzarone, F. Manganini, S. Ortelli, A. Pievatolo, and C. Tonetti

CNR@IRIS | DOI: 10.1002/app.44740
2016, Journal article
A computer-aided methodology for the optimization of electrostatic separation processes in recycling
M. Borrotti, A. Pievatolo, I. Critelli, A. Degiorgi, and M. Colledani

CNR@IRIS | DOI: 10.1002/asmb.2128
2016, Journal article
An overview of control charts for high-quality processes
S. Ali, A. Pievatolo, and R. Goeb

CNR@IRIS | DOI: 10.1002/qre.1957
2016, Journal article
High quality process monitoring using a class of inter-arrival time distributions of the renewal process
S. Ali and A. Pievatolo

CNR@IRIS | DOI: 10.1016/j.cie.2016.01.012
2016, Journal article
How can SMEs benefit from big data? Challenges and a path forward
S. Coleman, R. Gob, G. Manco, A. Pievatolo, X. Tort-Martorell, and M.S. Reis

CNR@IRIS | DOI: 10.1002/qre.2008
2016, Journal article
Optimal storage scheduling using Markov decision processes
S. Grillo, A. Pievatolo, and E. Tironi

CNR@IRIS | DOI: 10.1109/TSTE.2015.2497718
2015, Journal article
More accurate prediction intervals for exponential smoothing with covariates with applications in electrical load forecasting and sales forecasting
R. Göb, K. Lurz, and A. Pievatolo

CNR@IRIS | DOI: 10.1002/qre.1625
2015, Journal article
Multilevel functional principal component analysis of façade sound insulation data
R. Argiento, P. G. Bissiri, A. Pievatolo, and C. Scrosati

CNR@IRIS | DOI: 10.1002/qre.1843
2014, Journal article
Bayesian estimation for a parametric Markov renewal model applied to seismic data
I. Epifani, L. Ladelli, and A. Pievatolo

CNR@IRIS | DOI: 10.1214/14-EJS952
2014, Journal article
Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
R. Argiento, A. Guglielmi, and A. Pievatolo

CNR@IRIS | DOI: 10.1007/s00362-013-0528-8
2013, Journal article
Electrical load forecasting by exponential smoothing with covariates
R. Göb, K. Lurz, and A. Pievatolo

CNR@IRIS | DOI: 10.1002/asmb.2008
2013, Journal article
Rejoinder to the discussions of the paper on 'Electrical load forecasting by exponential smoothing with covariates'
R. Göb, K. Lurz, and A. Pievatolo

CNR@IRIS | DOI: 10.1002/asmb.2007
2012, Journal article
A Bayesian hidden Markov model for imperfect debugging
A. Pievatolo, F. Ruggeri, and R. Soyer

CNR@IRIS | DOI: 10.1016/j.ress.2012.03.003
2012, Journal article
Distributed Interruptible Load Shedding and Micro-Generator Dispatching to Benefit System Operations
R. Argiento, R. Faranda, A. Pievatolo, and E. Tironi

CNR@IRIS | DOI: 10.1109/TPWRS.2011.2173217
2011, Journal article
A statistical approach to electrical storage sizing with application to the recovery of braking energy
V. Musolino, A. Pievatolo, and E. Tironi

CNR@IRIS | DOI: 10.1016/j.energy.2011.07.037
2011, Journal article
Statistical rehabilitation of improper correlation matrices
A. Frigessi, A. Løland, A. M. Pievatolo, and F. Ruggeri

CNR@IRIS | DOI: 10.1080/14697680903390118
2010, Journal article
An L-banded approximation to the inverse of symmetric Toeplitz matrices
R. Benassi, A. Pievatolo, and R. Göb

CNR@IRIS | DOI: 10.1515/eqc.2010.002
2010, Journal article
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
R. Argiento, A. Guglielmi, and A. Pievatolo

CNR@IRIS | DOI: 10.1016/j.csda.2009.11.002
2009, Journal article
A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression
R. Argiento, A. Guglielmi, and A. Pievatolo

CNR@IRIS
2008, Journal article
Statistical identification of seismicity phases
A. Pievatolo and R. Rotondi

CNR@IRIS | DOI: 10.1111/j.1365-246X.2008.03773.x
2007, Journal article
Load Shedding: A New Proposal
R. Faranda, A. Pievatolo, and E. Tironi

CNR@IRIS
2007, Journal article
Special issue: Bayesian inference for stochastic processes ? Preface
Pievatolo A., Roberts G.O., Sansò B.

CNR@IRIS
2007, Journal article
The downtime distribution after a failure of a system with multistate independent components
Pievatolo A.

CNR@IRIS
2006, Journal article
Variable Sampling Interval in Shewhart Charts Based on Stochastic Failure Time Modelling
Goeb R., Ramalhoto M., Pievatolo A.

CNR@IRIS
2004, Journal article
Bayesian Reliability Analysis of Complex Repairable Systems
Pievatolo A., Ruggeri F.

CNR@IRIS
2004, Journal article
Semi-Markov Processes for Power System Reliability Assessment with Application to Uninterruptible Power Supply
Pievatolo A., Tironi E., Valadè I.

CNR@IRIS
2003, Journal article
UPS reliability analysis with non-exponential duration distribution
Pievatolo, A., Valadè, I.

CNR@IRIS
2000, Journal article
Analysing the interevent time distribution to identify seismicity phases: a Bayesian nonparametric approach to the multiple-changepoint problem
A. Pievatolo and R. Rotondi

CNR@IRIS | DOI: 10.1111/1467-9876.00211
2000, Journal article
The analysis of ruptures in metropolitan gas pipelines
V. Fa-Si-Oen and A. Pievatolo

CNR@IRIS | DOI: 10.1002/(SICI)1099-1638(200001/02)16:1<17::AID-QRE279>3.0.CO;2-Z
1998, Journal article
Boundary detection through dynamic polygons
A. Pievatolo and P.J. Green

CNR@IRIS | DOI: 10.1111/1467-9868.00143
2019, Essay or book chapter
Integrated Technological Solutions for Zero Waste Recycling of Printed Circuit Boards (PCBs)
Giacomo Copani, Marcello Colledani, Alessandro Brusaferri, Antonio Pievatolo, Eugenio Amendola, Maurizio Avella and Monica Fabrizio

CNR@IRIS | DOI: 10.1007/978-3-319-94358-9_7
2014, Essay or book chapter
INTEGRATE: INnovazioni TEcnologiche per una Gestione RAzionale del Tessuto Edilizio
I. Meroni, A. Bellazzi, F. Passaretti, F. Salerno, A. Pievatolo, and R. Zoboli

CNR@IRIS
2010, Essay or book chapter
Bayesian modelling of train door reliability
A. M. Pievatolo, and F. Ruggeri

CNR@IRIS | Link
2010, Essay or book chapter
Mixed-effects modelling of Kevlar fibre failure times through Bayesian nonparametrics
R. Argiento, A. Guglielmi, and A. Pievatolo

CNR@IRIS | DOI: 10.1007/978-88-470-1386-5_2
2007, Voice in repertoire
System downtime distributions
Pievatolo A.

CNR@IRIS
2006, Essay or book chapter
On Bayesian models incorporating covariates in reliability analysis of repairable systems
Masini, L., Pievatolo, A., Ruggeri, F. and Saccuman, E.

CNR@IRIS
2022, Textbook
Probability, statistics and simulation
A. Rotondi, P. Pedroni, and A. Pievatolo

CNR@IRIS | DOI: 10.1007/978-3-031-09429-3
2021, Textbook
Probabilita, Statistica e Simulazione: Programmi applicativi scritti in R
A. Rotondi, P. Pedroni, and A. Pievatolo

CNR@IRIS | DOI: 10.1007/978-88-470-4010-6
2012, Book
Probabilità, Statistica e Simulazione : Programmi applicativi scritti con Scilab. Terza edizione.
A. Rotondi, P. Pedroni, and A. Pievatolo

CNR@IRIS | DOI: 10.1007/978-88-470-2364-2
2007, Curatorship of books
Journal of Statistical Planning and Inference/Special Issue: Bayesian Inference for Stochastic Processes
Pievatolo A., Roberts G.O. , Sansó B., eds.

CNR@IRIS
2025, Conference proceedings
Fuzzy Jump Model for Asteroids Co-orbital Regimes Identification
Cortese, Federico P.; Pievatolo, Antonio; Alessi, Elisa Maria

CNR@IRIS | DOI: 10.1007/978-3-031-96303-2_81
2023, Conference proceedings
Experimental design and maintenance, towards a decision-making approach driven by degradation models, with application to lithium-ion batteries
Pievatolo, A; Magrini, A; Meccariello, G; Cristaldi, L; Patrizi, G; Nikiforova, Nd

CNR@IRIS | DOI: 10.1109/MetroXRAINE58569.2023.10405766
2018, Conference proceedings
On the uncertainty of sound reduction index measurements from inter-laboratory tests
M. Garai, C. Scrosati, and A. Pievatolo

CNR@IRIS
2016, Conference proceedings
A multi-objective Bayesian sequential design based on Pareto optimality
M. Borrotti and A. Pievatolo

CNR@IRIS | DOI: 10.1007/978-3-319-31266-8_6
2016, Conference communications
Applications of Bayesian analysis of stochastic processes
A. Pievatolo

CNR@IRIS | Link
2014, Conference communications
Multilevel Functional Principal Component Analysis of Façade Sound Insulation Data
R. Argiento, P. G. Bissiri, A. Pievatolo, and C. Scrosati

CNR@IRIS | Link
2010, Meeting abstracts
A Bayesian hidden Markov model for software failures
A. M. Pievatolo, F. Ruggeri, and R. Soyer

CNR@IRIS
2010, Conference proceedings
Dimensionamento, su basi statistiche, di sistemi di accumulo in azionamenti con frenatura a recupero
V. Musolino, A. Pievatolo, and E. Tironi

CNR@IRIS
2009, Meeting abstracts
A semiparametric Bayesian mixed-effects model for failure time data
Argiento R., Guglielmi A., Pievatolo A.

CNR@IRIS
2009, Meeting abstracts
A semiparametric Bayesian mixed-effects model for failure time data
Argiento R., Guglielmi A., Pievatolo A.

CNR@IRIS
2009, Conference posters
A simulation-based approach to full Bayesian inference for mixture densities under the normalized generalized gamma prior
Argiento, R., Guglielmi, A., Pievatolo, A.

CNR@IRIS
2008, Conference communications
Nonparametric Bayesian mixture modelling for failure time data
Argiento R., Guglielmi A. , Pievatolo A.

CNR@IRIS
2007, Conference proceedings
Bayesian semiparametric inference for the AFT model, using N-IGmixture priors
Argiento R., Guglielmi A., Pievatolo A.

CNR@IRIS
2007, Conference proceedings
Load Shedding: A New Proposal
Faranda R., Pievatolo A.,Tironi E.

CNR@IRIS
2007, Conference communications
Semiparametric inference for survival time models using hierarchical mixture modeling with generalized gamma processes
Argiento R., Guglielmi A., Pievatolo A.

CNR@IRIS
2007, Conference proceedings
The downtime distribution after a failure of a system with multistate independent components
Pievatolo A.

CNR@IRIS
2006, Conference proceedings
Analisi del numero delle righe estratte dai Digesta di Scevola.
Betrò B. e Pievatolo A.

CNR@IRIS
2006, Conference proceedings
Bayesian semiparametric inference for the accelerated failure time model using hierarchical mixture modeling with N-IG priors
R. Argiento, A. Guglielmi, A. Pievatolo, and F. Ruggeri

CNR@IRIS
2006, Conference proceedings
Two-stage modelling in electrical load forecasting, with application to customer management by power distribution utilities
Amberti D., Pievatolo A., Ruggeri F.

CNR@IRIS
2003, Conference proceedings
A scheme for industry-academia interaction to enhance research and development issues
Ramalhoto M.F., Goeb R., Pievatolo A., Evandt O., Salmikuukka J.

CNR@IRIS
2003, Conference proceedings
Bayesian assessment of corrosion-related failures in steel pipelines
Cagno E., Caron F., Mancini M., Pievatolo A., Ruggeri F.

CNR@IRIS
2003, Conference communications
Industry academia interaction - examples and ways of improvement
Ramalhoto M.F., McCollin C., Goeb R., Pievatolo A., Evandt O., Stewardson D.

CNR@IRIS
2003, Conference proceedings
On a Bayesian model for failures prediction in underground trains
Ruggeri F., Pievatolo A., Argiento R.

CNR@IRIS
2003, Conference communications
Statistical evaluation of the the density of a compressed polyurethane item
Pievatolo A.

CNR@IRIS
2015, Project report
D11.1 - Project report detailing the control model and its validation against experimental data. Demonstration activities, Progetto Zero Waste PCBs (Protocollo ITIA n. 141 del 18/01/2013; Protocollo ITIA n. 165 del 31/01/2014.).
Colledani, M., Picone, N., Degiorgi, A., Critelli, I., Pievatolo, A., Lanzarone, E., Ruggeri, F., Brambilla, C., Borrotti, M.

CNR@IRIS
2015, Project report
D8.1- Management Report
Giacomo Copani (ITIA), Golboo Pourabdollahian (ITIA), MarcelloColledani (ITIA), Alessandro Brusaferri (ITIA), Antonio Pievatolo (IMATI),Eugenio Amendola (IMCB), Maurizio Avella (ICTP), Monica Fabrizio (IENI),Stefania Fiameni (IENI)

CNR@IRIS
2014, Technical report
Multilevel Functional Principal Component Analysis of Façade Sound Insulation Data
R. Argiento, P. G. Bissiri, A. Pievatolo, and C. Scrosati

CNR@IRIS | Link
2014, Research report
ZeroWaste PCBs project D1.1: Management report (first year)
Giacomo Copani (ITIA), Marcello Colledani (ITIA), AlessandroBrusaferri (ITIA), Antonio Pievatolo (IMATI), Eugenio Amendola (IMCB),Maurizio Avella (ICTP), Monica Fabrizio (IENI), Stefania Fiameni (IENI)

CNR@IRIS
2013, Research report
ZeroWaste PCBs project D3.1: Report on shredding process modeling and simulation
A. Pievatolo, M. Colledani, S. Costa, E. Lanzarone, L. Martin Fernandez, F. Ruggeri, C. Brambilla, and G. Copani

CNR@IRIS
2007, Technical report
A comparison of nonparametric priors in hierarchical mixture modelling of lifetime data
Argiento R., Guglielmi A., Pievatolo A.

CNR@IRIS