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.

Zero Waste PCBs-IMATI

I-ZEB

FIDEAS

INTEGRATE

Zero Waste

NETT Lombardia


Publications

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
We propose a way to model the underdetection of infected and removed individuals in a compartmental model for estimating the COVID-19 epidemic. The proposed approach is demonstrated on a stochastic SI...

CNR@People | 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
The paper discusses issues that surround decisions in risk and reliability, with a major emphasis on quantitative methods. We start with a brief history of quantitative methods in risk and reliability...

CNR@People | DOI: 10.3390/stats4020017
2020, Journal article
A Bayesian approach for site-specific wind rose prediction
A. Lepore, B. Palumbo, and A. Pievatolo
Feasibility of wind-farm projects emphasizes the need for a timely evaluation of the site-specific wind potential (i.e., the electrical power production from wind sources) because, unfortunately, it i...

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

CNR@People | 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
Sustainable circular economy is introducing new industrial challenges, including recycling, to move from the cradle-to-grave paradigm to the innovative cradle-to-cradle concept. The core of several re...

CNR@People | 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
N/A

CNR@People | 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
This paper deals with the standard deviation of reproducibility obtained from multiple Inter-Laboratory Tests (ILTs), whose average values were standardized in ISO 12999-1. The reproducibility obtaine...

CNR@People | DOI: 10.3813/AAA.919172
2018, Journal article
Time and magnitude monitoring based on the renewal reward process
S. Ali and A. Pievatolo
Time between event (TBE) charts are SPC tools for monitoring the occurrence of unwanted events, such as the appearance of a defective item or a failure of a piece of equipment. In some cases, a magnit...

CNR@People | 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
Electrospinning is affected by high variability, and an accurate setting of process parameters is fundamental for producing high quality nanofibers. This work aims at determining the optimal values of...

CNR@People | 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
The rapid growth of technological products has led to an increasing volume of waste electrical and electronic equipments (WEEE), which could represent a valuable source of critical raw materials. Howe...

CNR@People | DOI: 10.1002/asmb.2128
2016, Journal article
An overview of control charts for high-quality processes
S. Ali, A. Pievatolo, and R. Goeb
Major difficulties in the study of high-quality processes with traditional process monitoring techniques are a high false alarm rate and a negative lower control limit. The purpose of time-between-eve...

CNR@People | 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
For high-quality processes where the defect rate is very low, e.g., parts per million (ppm), time-between-events (TBE) control charts have several advantages over the ordinary control charts. Most exi...

CNR@People | 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
Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this ...

CNR@People | DOI: 10.1002/qre.2008
2016, Journal article
Optimal storage scheduling using Markov decision processes
S. Grillo, A. Pievatolo, and E. Tironi
The paper presents a method based on Markov decision processes to optimally schedule energy storage devices in power distribution networks with renewable generation. The time series of renewable gener...

CNR@People | 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
The most widely used prediction intervals in empirical time series analysis are of plug-in type; that is, the empirical estimates of model parameters are inserted into formulae for prediction interval...

CNR@People | 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
This work analyzes data from an experimental study on façade sound insulation, consisting of independent repeated measurements executed by different laboratories on the same residential buildin...

CNR@People | 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
This paper presents a complete methodology for Bayesian inference on a semi-Markov process, from the elicitation of the prior distribution, to the computation of posterior summaries, including a guida...

CNR@People | 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
We propose a class of Bayesian semiparametric mixed-effects models; its distinctive feature is the randomness of the grouping of observations, which can be inferred from the data. The model can be vie...

CNR@People | 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
In the past, studies in short-term electrical load forecasting have been rather sceptical on the use of meteorological covariates like temperature for short-term forecasting purposes. The main reasons...

CNR@People | 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
Reply to the discussion by R. Weron & J. Taylor.We thank Rafa? Weron and James Taylor (WT, from now on) for their extensive discussion and the recommendations for further research. In further text, we...

CNR@People | DOI: 10.1002/asmb.2007
2012, Journal article
A Bayesian hidden Markov model for imperfect debugging
A. Pievatolo, F. Ruggeri, and R. Soyer
n this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to t...

CNR@People | 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
A blackout is the worst end result of a significant differencebetween generation and absorption of power. Therefore,distribution network operators (DNO) need to know and controlthe load and generation...

CNR@People | 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
In the context of efficient energy use, electrical energy in electric drives plays a fundamental role. High efficiency energy storage systems permit energy recovery, peak shaving and power quality fun...

CNR@People | 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
The simplest way to describe the dependence for a set of financial assets is their correlation matrix. This correlation matrix can be improper when it is specified element-wise. We describe a new meth...

CNR@People | 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
We apply the banded matrix inversion theorem given by Kavcic and Moura [IEEE Trans. Inf. Theory 46: 1495-1509, 2000] to symmetric Toeplitz matrices. If the inverse is banded with bandwidth smaller tha...

CNR@People | 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
A class of nonparametric hierarchical mixtures is considered for Bayesian density estimation. This class, namely mixtures of parametric densities on the positive reals with a normalized generalized ga...

CNR@People | 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
We will pursue a Bayesian nonparametric approach in the hierarchical mixture modelling of lifetime data in two situations: density estimation, when the distribution is a mixture of parametric densitie...

CNR@People
2008, Journal article
Statistical identification of seismicity phases
A. Pievatolo and R. Rotondi
We propose a statistical methodology to detect and quantify different seismicity phases on the basis of variations in certain characteristic features of seismic phenomenon, taking as examples two of t...

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

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

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

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

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

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

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

CNR@People
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
In the study of earthquakes, several aspects of the underlying physical process, such as the time non-stationarity of the process, are not yet well understood, because we lack clear indications about ...

CNR@People | DOI: 10.1111/1467-9876.00211
2000, Journal article
The analysis of ruptures in metropolitan gas pipelines
V. Fa-Si-Oen and A. Pievatolo
We model the yearly counts of occurred ruptures in a metropolitan gas distribution network using both a homogeneous Poisson process and a power law process. Covariates such as depth, diameter and site...

CNR@People | 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
A method for the Bayesian restoration of noisy binary images portraying an object with constant grey level on a background is presented. The restoration, performed by fitting a polygon with any number...

CNR@People | DOI: 10.1111/1467-9868.00143
2022, Textbook
Probability, statistics and simulation
A. Rotondi, P. Pedroni, and A. Pievatolo
This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, me...

CNR@People | 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
Il libro contiene in forma compatta il programma svolto negli insegnamenti introduttivi di Statistica e tratta alcuni argomenti indispensabili per l'attività di ricerca, come le tecniche di sim...

CNR@People | 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
Il volume contiene in forma compatta il programma svolto negli insegnamenti introduttivi di statistica e tratta alcuni argomenti indispensabili per l'attività di ricerca, come ad esempio i meto...

CNR@People | DOI: 10.1007/978-88-470-2364-2
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
The demand for key metals for the production of high-tech products is constantly growing in Europe, leading to relevant problems both in terms of supply risks and costs. Waste from Electric and Electr...

CNR@People | 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
N/A

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

CNR@People | Link
2010, Essay or book chapter
Mixed-effects modelling of Kevlar fibre failure times through Bayesian nonparametrics
R. Argiento, A. Guglielmi, and A. Pievatolo
We examine the accelerated failure time model for univariate data with right censoring, with application to failure times of Kevlar fibres grouped by spool, subject to different stress levels. We prop...

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

CNR@People
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.
N/A

CNR@People
2023, Conference proceedings
Experimental design and maintenance, towards a decision-making approach driven by degradation models, with application to lithium-ion batteries
A. Pievatolo, A. Magrini, G. Meccariello, L. Cristaldi, G. Patrizi, and N.D. Nikiforova
We discuss an innovative decision-making framework for accelerated degradation tests and predictive maintenance, when information about the state of the system, represented by prior knowledge and expe...

CNR@People | Link
2018, Conference proceedings
On the uncertainty of sound reduction index measurements from inter-laboratory tests
M. Garai, C. Scrosati, and A. Pievatolo
Test reports of building acoustics measurements cannot be considered complete without declaring the associated uncertainty. Two dominant methods exist for calculating the uncertainty, i.e. the empiric...

CNR@People
2016, Conference proceedings
A multi-objective Bayesian sequential design based on Pareto optimality
M. Borrotti and A. Pievatolo
Complexity arises in different fields of application. The increasing number of variables and system responses used to describe an experimental problem limits the applicability of classical approaches ...

CNR@People | DOI: 10.1007/978-3-319-31266-8_6
2016, Conference communications
Applications of Bayesian analysis of stochastic processes
A. Pievatolo
Bayesian methods provide a natural framework for the analysis of data that become sequentially available, either for descriptive, predictive or prescriptive purposes. We discuss two applications that ...

CNR@People | Link
2014, Conference communications
Multilevel Functional Principal Component Analysis of Façade Sound Insulation Data
R. Argiento, P. G. Bissiri, A. Pievatolo, and C. Scrosati
In this work we analize data from a sound insulation of façades study, the experiment consisting of independent measurements executed several times by different operators on the same residentia...

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

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

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

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

CNR@People
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.
N/A

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

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

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

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

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

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

CNR@People
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
N/A

CNR@People
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.
N/A

CNR@People
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.
N/A

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

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

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

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

CNR@People
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.
Nel report sono descritte le attività di sviluppo di un modello di controllo per l'ottimizzazione dei parametri di funzionamento di un separatore elettrostatico (e.g. tensione dell'elettrodo, v...

CNR@People
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)
This deliverable reports the management activities carried out by the consortium during the second year ofthe Zero Waste PCBs project in terms of meetings and project coordination, deviations from the...

CNR@People
2014, Technical report
Multilevel Functional Principal Component Analysis of Façade Sound Insulation Data
R. Argiento, P. G. Bissiri, A. Pievatolo, and C. Scrosati
This work analyses the data from an experimental study on façade sound insulation, consisting of independent repeated measurements executed by different laboratories on the same residential bui...

CNR@People | 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)
This deliverable reports on the management activity carried out by the consortium in terms of meetings, deviations from the plan, corrective actions, and risk management procedures. In addition, it ad...

CNR@People
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
In this report, we describe the current state of progress of WP3 (shredding process modelling and simulation)at the end of the first project year and its associated deliverable: An optimized stochasti...

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

CNR@People
2021, Other product
A stochastic SIR model for the analysis of the COVID-19 Italian epidemic
S. Pasquali, A. Pievatolo, A. Bodini, and F. Ruggeri
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 under-detection of inf...

CNR@People | Link