Selected Publications
Main publications since 2010
2023
Candio P., F. P. Mujica, E. Frew (2023). “Socio-economic
accounting of inequalities in excess weight: A population-based
analysis”.
BMC Public Health, 23(721). DOI: 10.1186/s12889-023-15592-0.
Jones D. A., P. Candio, R. Shakir, J. Ramroth, J. Wolstenholme, A. M.
Gray, D. J. Cutter, G. Ntentas (2023). “Individualised estimation of
quality-adjusted survival benefit and cost-effectiveness of proton beam
therapy in intermediate-stage Hodgkin lymphoma”.
Clinical Oncology, 35(5), 301-310. DOI: 10.1016/j.clon.2023.01.007.
Candio P., E. Frew (2023). “How much behaviour change is required for
the investment in cycling infrastructure to be sustainable? A break-even
analysis”.
PLoS ONE, 18(4), e0284634. DOI: 10.1371/journal.pone.0284634.
Candio P., M. Violato, P. M. Clarke, R. Duch, S. L. J. Roope (2023).
“Prevalence, predictors and reasons for COVID-19 vaccine hesitancy:
Results of a global online survey”.
Health Policy, 137, 104895. DOI: 10.1016/j.healthpol.2023.104895.
Bee M., J. Hambuckers, L. Trapin (2021) “Estimating large losses in
insurance analytics and operational risk using the g-and-h distribution”,
Quantitative Finance, 21, 1207-1221.
Bee M. (2023) “Unsupervised Mixture Estimation via Approximate Maximum
Likelihood based on the Cramér-von Mises distance”, Computational
Statistics & Data Analysis, 185, 107764.
Giuliani D., D. Toffoli, M. M. Dickson, A. Mazzitelli, G. Espa (2023)
“Assessing the role of spatial externalities in the survival of Italian innovative startups”,
Regional Science Policy & Practice, 1–13. DOI: 10.1111/rsp3.12653.
Espa G., P. Feraco, M. Donelli, , I. Dal Chiele (2023)
“A Fast and Efficient Semi-Unsupervised Segmentation and Feature-Extraction Methodology for Artificial Intelligence and Radiomics Applications: A Preliminary Study Applied to Glioblastoma”,
Electronics 2023, 12, 1230. DOI: 10.3390/electronics12051230.
Dickson, M. M. (2023)
“Book review: Multiple Imputation of Missing data in Practice, Basic Theory and Analysis Strategies”,
The Survey Statistician, 87, 35–36.
2022
Bee M. (2022) “The truncated g-and-h distribution: estimation and
application to loss modeling”, Computational Statistics, 37, 1771-1794.
Bee M., J. Hambuckers (2022) “Modeling multivariate operational losses
via copula-based distributions with g-and-h marginals”,
Journal of Operational Risk, 17(1), 81-111.
Bee M. (2022) “On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach”,
Advances in Data Analysis and Classification, forthcoming. DOI: 10.1007/s11634-022-00497-4.
Bee M., A. R. Soltani, L. Tafakori (2022) “Some analytical results on
bivariate stable distributions with an application in operational risk”,
Quantitative Finance, 22, 1355-1369.
Hussin Adam Khatir A. A., M. Bee (2022) “Machine Learning Models and
Data-Balancing Techniques for Credit Scoring: What Is the Best
Combination?”, Risks, 10, 169.
Travaini G., P. Caruso, M. M. Dickson, G. Espa, I. Merzagora (2022)
“Is obedience still a virtue? An Italian research during COVID-19 pandemic”,
Rassegna Italiana di Criminologia, XVI, 4, 283–289. DOI: 10.7347/RIC-042022-p283.
Savadori L., M. M. Dickson, R. Micciolo, G. Espa (2022)
“The polarizing impact of numeracy, economic literacy, and science literacy on the perception of immigration”,
PLOS ONE, 17 (10). DOI: 10.1371/journal.pone.0274680.
Giuliani D., M. M. Dickson, F. Santi, G. Espa (2022)
“An empirical tool to classify industries by regional concentration and
spatial polarization”, in A. Balzanella, M. Bini, C. Cavicchia, R. Verde
(editors) 51st Scientific Meeting of the Italian Statistical Society – Book of the Short Papers, Pearson. ISBN: 9788891932310.
Santi F., M. M. Dickson, G. Espa, D. Giuliani (2022)
“plot3logit: Ternary Plots for Interpreting Trinomial Regression Models”,
Journal of Statistical Software, Code Snippets, 103 (1), 1–27. DOI: 10.18637/jss.v103.c01.
Donelli M., G. Espa, P. Feraco (2022)
“A Semi-Unsupervised Segmentation Methodology Based on Texture Recognition
for Radiomics: A Preliminary Study on Brain Tumours”,
Electronics, 11 (1573). DOI: 10.3390/electronics11101573.
Dickson M. M., G. Espa, L. Fattorini, F. Santi (2022)
“Double-calibration estimators accounting for under-coverage and
nonresponse in socio-economic surveys”,
Statistical Methods & Applications. DOI: 10.1007/s10260-022-00630-9.
Dickson M. M., G. Espa, D. Giuliani, R. Micciolo (2022) “Did
COVID-19 restrictions in higher education affect students’ performances?
Evidence from an Italian university”,
Statistica Applicata – Italian Journal of Applied Statistics, 33 (2).
DOI: 10.26398/IJAS.0033-007.
2021
Donelli M., G. Espa, P. Feraco, M. Manekiya (2021) “Wearable
non-invasive blood glucose monitor system based on galvanic skin resistance
measurement”,
Electronics Letters. DOI: 10.1049/ell2.12315.
Taufer E., F. Santi, G. Espa, M. M. Dickson (2021)
“Graphical representations and associated goodness-of-fit tests for Pareto
and log-normal distributions based on inequality curves”,
Journal of Nonparametric Statistics.
DOI: 10.1080/10485252.2021.1977300.
Donelli M., G. Espa, G. Marchi, M. Manekiya, C. Pascucci (2021) “A
Reconfigurable Stepped Frequency Continuous Wave Radar Prototype for
Smuggling Contrast, preliminary assessment”,
Advances in Science, Technology and Engineering Systems Journal (ASTESJ),
6 (4), 13–20. DOI: 10.25046/aj060402.
Dickson M. M., G. Espa, R. Gabriele, A. Mazzitelli (2021) “Small
businesses and the effects on the growth of formal collaboration
agreements: additional insights and policy implications”,
Applied Economics. DOI: 10.1080/00036846.2021.1922595.
Benedetti R., M. M. Dickson, G. Espa, F. Pantalone, F. Piersimoni
(2021) “A simulated annealing-based algorithm for selecting balanced
samples”,
Computational Statistics. DOI: 10.1007/s00180-021-01113-3.
Micciolo R., L. Canal, G. Espa (2021) Probabilità e modelli – Teoria
e pratica con R,
Apogeo Education, Maggioli Editore, Milano. ISBN: 978-88-916-4935-5.
Piacentino D., G. Arbia, G. Espa (2021) “Advances in spatial economic
data analysis: methods and applications” (editorial),
Spatial Economic Analysis, 16 (2), 121–125. DOI: 10.1080/17421772.2021.1883102.
Donelli M., G. Espa (2021) “A Crowd Monitoring Methodology based on the
Analysis of the Electromagnetic Spectrum”, Global Journal of Researches in
Engineering — Section F: Electrical and Electronics Engineering, 21 (1),
1–10.
Dickson M. M., G. Espa, D. Giuliani, F. Santi
(2021) “Assessing Spatial Patterns of Firms Using Micro-Level Data”,
Scienze Regionali, 1–24. DOI: 10.14650/100115.
Arbia G., G. Espa, D. Giuliani (2021) Spatial Microeconometrics,
Routledge, Taylor & Francis Group, Abingdon. ISBN: 978-1-138-83375-3.
Santi F., M. M. Dickson, D. Giuliani, G. Arbia, G. Espa
(2021) “Reduced-bias estimation of spatial autoregressive models with
incompletely geocoded data”,
Computational Statistics, 1–28. DOI: 10.1007/s00180-021-01090-7.
Di Cosmo L., D. Giuliani, M. M. Dickson, P. Gasparini (2021) “An
individual-tree linear mixed-effects model for predicting the basal area
increment of major forest species in Southern Europe”,
Forest Systems, 29 (3), e019. DOI: 10.5424/fs/2020293-15500.
Bee M., J. Hambuckers, F. Santi, L. Trapin (2021) “Testing a
parameter restriction on the boundary for the g-and-h distribution: a
simulated approach”,
Computational Statistics. DOI: 10.1007/s00180-021-01078-3.
Cracolici M. F., G. Espa, D. Giuliani, D. Piacentino (2021) Firm
Demography in the Accommodation Industry. Evidence from Italian Insular
Regions.
In: M. Ferrante, O. Fritz, Ö. Öner (eds) “Regional Science Perspectives on
Tourism and Hospitality”. Advances in Spatial Science (The Regional Science
Series). Springer, Cham. DOI: 10.1007/978-3-030-61274-0_4.
Arbia G., M. M. Dickson, R. Gabriele, D. Giuliani, F. Santi
(2021) “On the Spatial Determinants of Firm Growth: A Microlevel Analysis of
the Italian SMEs”, in S. Colombo (ed.) Spatial Economics Volume II,
Palgrave Macmillan, Cham. ISBN: 978-3-030-40093-4.
2020
Serio R. G., M. M. Dickson, D. Giuliani, G. Espa (2020) “Green
Production as a Factor of Survival for Innovative Startups: Evidence from
Italy”, Sustainability, 12 (9464), 1–12. DOI: 10.3390/su12229464.
Bee M., J. Hambuckers, L. Trapin (2020) “Estimating large losses in
insurance analytics and operational risk using the g-and-h distribution”,
Quantitative Finance, forthcoming. DOI: 10.1080/14697688.2020.1849778.
Taufer E., F. Santi, P. L. Novi Inverardi, G. Espa,
M. M. Dickson (2020) “Extreme Value Index Estimation by Means of an
Inequality Curve”, Mathematics, 8 (1834), 1–17. DOI: 10.3390/math8101834.
Dickson M. M., F. Santi, E. Taufer, G. Espa (2020)
“A mixed sampling strategy for partially geo-referenced finite populations”,
Spatial Statistics. DOI: 10.1016/j.spasta.2020.100477.
Giuliani D., M. M. Dickson, G. Espa, F. Santi (2020)
“Modelling and predicting the spatio-temporal spread of COVID-19 in Italy”,
BMC Infectious Diseases, 20 (700), 1–10.
DOI: 10.1186/s12879-020-05415-7.
Bee M. (2020) “Estimating the wrapped stable distribution via indirect
inference”, Communications in Statistics – Simulation and Computation,
DOI: 10.1080/03610918.2020.1801732.
Dickson M. M., G. Espa, D. Giuliani, F. Santi, L. Savadori
(2020) “Assessing the effect of containment measures on the spatio-temporal
dynamic of COVID-19 in Italy”, Nonlinear Dynamics,
DOI: 10.1007/s11071-020-05853-7.
Santi F., M. M. Dickson, G. Espa, E. Taufer, A. Mazzitelli
(2020) “Handling spatial dependence under unknown unit locations”, Spatial
Economic Analysis, DOI: 10.1080/17421772.2020.1769171.
Tillé, Y., M. M. Dickson, G. Espa (2020)
Elementi di campionamento e stima da popolazioni finite, Pearson.
ISBN: 9788891916105.
2019
Bee M., M. Riccaboni, S. Schiavo (2019) “Distribution of city size:
Zipf, Gibrat, Pareto Law”, in The Mathematics of Urban Morphology (ed. L.
D’Acci), 77–91, Birkhäuser Basel, Springer Nature.
Bee M., J. Hambuckers, L. Trapin (2019) “Estimating Value-at-Risk for
the g-and-h distribution: an indirect inference approach”, Quantitative
Finance, 19, 1255–1266.
Bee M., D. J. Dupuis, L. Trapin (2019) “Realized Peaks over Threshold:
a Time-Varying Extreme Value Approach with High-Frequency based Measures”,
Journal of Financial Econometrics, 17, 254–283.
Bison I., M. M. Dickson, G. Espa, F. Santi (2019) “Educational
Qualifications Yields as Employment Risk: an Empirical Analysis of the
Horizontal Inequality”, Statistica Applicata – Italian Journal of
Applied Statistics, 31 (1), 67–96.
Dickson M. M., A. Grafström, D. Giuliani, G. Espa (2019)
“Efficiency and feasibility of sampling schemes in establishment surveys”,
Mathematical Population Studies, DOI: 08898480.2018.1553411.
Filipponi D., F. Piersimoni, R. Benedetti, M. M. Dickson, G. Espa,
D. Giuliani (2019) “Sampling design and analysis using geo-referenced
data”, Analysis of Integrated Data, Editors: R. Chambers and L.-C. Zhang,
CRC Press, ISBN: 9781498727983.
Santi F., M. M. Dickson, G. Espa (2019) “A graphical tool for
interpreting regression coefficients of trinomial logit models”, The
American Statistician, 73 (2), pp. 200–207.
DOI: 10.1080/00031305.2018.1442368.
2018
Fronza G., D. Giuliani, G. Espa, S. Calzolari (2018) “Il Disturbo
della Comprensione del Testo (DCT). Il profilo intellettivo aiuta a
capire?”, Psicologia Clinica dello Sviluppo, XII, 3, 483–498.
Jammalamadka S. R., E. Taufer (2018). “Semi-parametric estimation
of the auto-regression parameter in non-gaussian
Ornstein-Uhlenbeck-processes”, Communications in Statistics - Simulation
and Computation. DOI: 10.1080/03610918.2018.1468456.
Andreaus M., E. Costa, C. Pesci, E. Taufer (2018). “Empathy, closeness,
and distance in non-profit accountability”, Accounting, Auditing &
Accountability Journal. DOI: 10.1108/AAAJ-03-2014-1635
Jia M., E. Taufer, M. M. Dickson (2018) “Semi-parametric regression
estimation of the tail index”. Electronic Journal of Statistics 12,
224–248.
Lattante S., M. G. Pomponi, A. Conte, G. Marangi, G. Bisogni, A. K.
Patanella, E. Meleo, C. Lunetta, N. Riva, L. Mosca, P. Carrera, M. Bee,
M. Zollino, M. Sabatelli (2018) “ATXN1 intermediate-length polyQ expansions
are associated with Amyotrophic Lateral Sclerosis”, Neurobiology of Aging,
DOI: 10.1016/j.neurobiolaging.2017.11.011.
Bee M., L. Trapin (2018) “A characteristic function-based approach to
Approximate Maximum Likelihood Estimation”, Communications in Statistics -
Theory and Methods, DOI: 10.1080/03610926.20.
Arbia G., M. Bee, G. Espa, F. Santi (2018) “Fitting spatial
regressions to large datasets using unilateral approximations”,
Communications in Statistics - Theory and Methods, 47, 1, 222–238.
Bee M., S. Schiavo (2018) “Powerless: Gains from Trade when Firm
Productivity is not Pareto Distributed”, Review of World Economics,
DOI: 10.1007/s10290-017-0295-z.
Bee M., D. J. Dupuis, L. Trapin (2018) “Realized Extreme Quantile: A
Joint Model for Conditional Quantiles and Measures of Volatility with EVT
Refinements”, Journal of Applied Econometrics, DOI: 10.1002/jae.2615.
2017
Dickson M. M., D. Giuliani, G. Espa, M. Bee, E. Taufer,
F. Santi (2017) “Design-based estimation in environmental surveys with
positional errors”, Environmental and Ecological Statistics,
DOI: 10.1007/s10651-017-0381-3.
Espa G., D. Giuliani, F. Santi, E. Taufer (2017)
“Model-based variance estimation in two-dimensional systematic sampling”,
Metron, 75, 3, 265–275.
Bee M., G. Espa, D. Giuliani, F. Santi (2017) “A
Cross-Entropy Approach to the Estimation of Generalised Linear Multilevel
Models”, Journal of Computational and Graphical Statistics, 26, 695–708.
Benedetti R., G. Espa, E. Taufer (2017) “Model-based variance
estimation in non-measurable spatial designs”, Journal of Statistical
Planning and Inference, 2017, 181, 52–61.
Bee M., R. Benedetti, G. Espa (2017) “Approximate maximum likelihood
estimation of the Bingham distribution”, Computational Statistics & Data
Analysis, 2017, 108, 84–96.
Arbia G., G. Espa, D. Giuliani, M. M. Dickson (2017) “Effects of
missing data and locational errors on spatial concentration measures based
on Ripley’s K-function”, Spatial Economic Analysis, 12, 2-3, 326–346.
Piacentino D., G. Espa, D. Filipponi, D. Giuliani (2017) “Firm
Demography and Regional Development: Evidence from Italy”, Growth and
Change, 48, 3, 359–389.
Dickson M. M., G. Espa, D. Giuliani (2017) “Incomplete geocoding
and spatial sampling: The effects of locational errors on population total
estimation”, Computers, Environment and Urban Systems, 62, 1–6.
Arbia G., G. Espa, D. Giuliani, R. Micciolo (2017) “A spatial
analysis of health and pharmaceutical firm survival”, Journal of Applied
Statistics, 44, 9, 1560–1575.
Bee M., M. M. Dickson, F. Santi (2017) “Likelihood-based Risk
Estimation for Variance-Gamma Models”, Statistical Methods & Applications,
DOI: 10.1007/s10260-017-0393-z.
Santi F., G. Arbia, M. Bee, G. Espa (2017) “A frequency domain
test for isotropy in spatial data models”, Spatial Statistics, 21,
262-278. DOI: 10.1016/j.spasta.2017.05.002.
Opsomer J. D., M. G. Ranalli, M. M. Dickson (2017) Foreword to the
special issue on “Advances in Survey Statistics”, Metron, 75 (3),
245–247.
Bee M. (2017) “Density Approximations and VaR Computation for Compound
Poisson-Lognormal Distributions”, Communications in Statistics - Simulation
and Computation, 46, 1825–1841.
Bee M., M. Riccaboni, S. Schiavo (2017) “Where Gibrat meets Zipf: Scale
and Scope of French Firms”, Physica A, 481, 265–275.
Bee M., M. Riccaboni, L. Trapin (2017) “An Extreme Value Analysis of the
Last Century Crises across Industries in the U.S. Economy”, Journal of
Economic Dynamics and Control, 81, 65–78.
2016
Taufer E. (2016) “Estimation of marginal parameters of Sup-OU processes
with long range dependence”, International Journal of Advanced Statistics
and Probability 4, 102–108.
Arbia G., G. Espa, D. Giuliani (2016) “Dirty spatial Econometrics”,
The Annals of Regional Science, 56, 1, 177–189.
Dickson M. M., Y. Tillé (2016) “Oredered spatial sampling by means of
the traveling salesman problem”, Computational Statistics, 31,
1359–1372.
Mariotti F., M. M. Dickson, K. Mumford, Y. Pena-Boquete (2016) “Job
Insecurity Within the Household: Are Australian Householders Caring When it
Comes to Risk Sharing?”, Australian Journal of Labour Economics, 19,
77–90.
Andreaus M., M. M. Dickson, L. De Poli, G. Espa (2016)
“Administrative Burdens evaluation: a smart perspective in the Province of
Trento”, IEEE Conference Publications, DOI: 10.1109/ISC2.2016.7580742.
Bee M., D. J. Dupuis, L. Trapin (2016) “Realizing the Extremes:
Estimation of Tail-risk Measures from a High-frequency Perspective”,
Journal of Empirical Finance, 36, 86–99.
Taufer E. (2016) “Comments: A review of testing procedures based on the
empirical characteristic function”, South African Statistical Journal 50,
29–30.
Bee M., D. J. Dupuis, L. Trapin (2016) “U.S. Stock Returns: Are there
Seasons of Excesses?”, Quantitative Finance, 16, 1453–1464.
Bee M., L. Trapin (2016), “A Simple Approach to the Estimation of
Tukey’s gh Distribution”, Journal of Statistical Computation and
Simulation, 86, 3287–3302.
2015
Arbia G., G. Espa, D. Giuliani (2015) “Measurement Errors Arising
When Using Distances in Microeconometric Modelling and the Individuals’
Position Is Geo-Masked for Confidentiality”, Econometrics, 3, 709–718.
Meintanis S. G., J. Ngatchou-Wandji, E. Taufer (2015) “Goodness-of-fit
tests for multivariate stable distributions based on the empirical
characteristic function”, Journal of multivariate Analysis 140, 171–192.
Bee M., G. Espa, D. Giuliani (2015) “Approximate Maximum
Likelihood Estimation of the Autologistic Model”, Computational Statistics
& Data Analysis, 2015, 84, 14–26.
Giuliani D., M. M. Dickson, G. Espa (2015) “Teaching statistics
in the context of social foresight. An applied approach based on the use of
an open-source software”, On the Horizon, 23, 2, 140–148.
Arbia G., G. Espa, P. Cella, D. Giuliani (2015) “A micro spatial
analysis of firm demography: the case of food stores in the area of Trento
(Italy)”, Empirical Economics, 48, 3, 923–937.
Taufer E. (2015) “On the empirical process of strongly dependent stable
random variables: asymptotic properties, simulation and applications”,
Statistics and Probability Letters 106, 262–271.
Arbia G., G. Espa, D. Giuliani (2015) “Analysis of spatial
concentration and dispersion”, in C. Karlsson, M. Andersson, T. Norman
(eds.), Handbook of Research Methods and Applications in Economic
Geography, Edward Elgar Publishing Limited, Cheltenham, UK, 135–157.
Bee M. (2015) “Statistical analysis of the Lognormal-Pareto distribution
using Probability Weighted Moments and Maximum Likelihood”, Communications
in Statistics - Simulation and Computation, 44, 2040–2060.
Meintanis S., E. Taufer (2012) “Inference procedures for stable-Paretian
stochastic volatility models”, Mathematical and Computer Modelling 55,
1199–1212.
2014
Giuliani D., G. Arbia, G. Espa (2014) “Weighting Ripley’s K-function
to account for the firm dimension in the analysis of spatial concentration”,
International Regional Science Review, 37, 3, 251–272.
Espa G., D. Filipponi, D. Giuliani, D. Piacentino (2014)
“Decomposing regional business change at plant level in Italy: A novel
spatial shift-share approach”, Papers in Regional Science, 93, 1,
113–135.
Arbia G., G. Espa, D. Giuliani, M. M. Dickson (2014)
“Spatio-temporal clustering in the pharmaceutical and medical device
manufacturing industry: a geographical micro-level analysis”, Regional
Science and Urban Economics, 49, 298–304.
Dickson M. M., R. Benedetti, D. Giuliani, G. Espa (2014) “The
Use of Spatial Sampling Designs in Business Surveys”, Open Journal of
Statistics, 4, 345–354.
2013
Leonenko N., S. Petherick, E. Taufer (2013) “Multi-fractal models via
products of geometric Ornstein-Uhlenbeck processes: Review and
applications”, Physica A 392, 7–16.
Bee M., R. Benedetti, G. Espa (2013) “On Maximum Likelihood
Estimation of a Pareto mixture”, Computational Statistics, 28, 1,
161–178.
Espa G., G. Arbia, D. Giuliani (2013) “Conditional versus
unconditional industrial agglomeration: disentangling spatial dependence and
spatial heterogeneity in the analysis of ICT firms’ distribution in Milan”,
Journal of Geographical Systems, 15, 1, 31–50.
Briatore E., F. Ferrari, G. Pomero, A. Boghi, L. Gozzoli, R. Micciolo, G.
Espa, P. Gancia, S. Calzolari (2013) “EEG findings in cooled asphyxiated
newborns and correlation with site and severity of brain damage”, Brain &
Development, 35, 420–426.
Arbia G., M. Bee, G. Espa (2013) “Testing isotropy in spatial
econometric models”, Spatial Economic Analysis, 8, 3, 228–240.
Bee M., R. Benedetti, G. Espa, F. Piersimoni (2013) “Is it
acceptable not to cover the smallest businesses in a business survey? How
should such a cutoff be chosen?”, The Survey Statistician, 67, 14–18.
Leonenko N., E. Taufer (2013) “Disaggregation of spatial autoregressive
processes”, Spatial Statistics 3, 1–20.
Bee M. (2013) “A Maximum Entropy Approach to Loss Distribution
Analysis”, Entropy, 15, 1100–1117.
Bee M., M. Riccaboni, S. Schiavo (2013) “The Size Distribution of US
Cities: not Pareto, even in the Tail”, Economics Letters, 120, 232–237.
2012
Beccaria E., M. Martino, E. Briatore, B. Podestà, G. Pomero, R. Micciolo,
G. Espa, S. Calzolari (2012) “Poor repertoire General Movements predict
some aspects of development outcome at 2 years in very preterm infants”,
Early Human Development, 88, 6, 393–396.
Bee M. (2012) “Dynamic VaR Models and the Peaks over Threshold Method
for Market Risk Measurement: an Empirical Investigation during a Financial
Crisis”, Journal of Risk Model Validation, 6, 3–45.
Meintanis S., E. Taufer (2012) “Inference procedures for stable-Paretian
stochastic volatility models”, Mathematical and Computer Modelling 55,
1199–1212.
2011
Corsino M., G. Espa, R. Micciolo (2011) “R&D, Firm Size, and Incremental
Product Innovation”, Economics of Innovation and New Technology, 20, 5,
423-443.
Arbia G., M. Bee, G. Espa (2011) “Aggregation of regional economic
time series with different spatial correlation structures”, Geographical
Analysis, 43, 78–103.
Arbia G., G. Espa, D. Giuliani, A. Mazzitelli (2011) “Clusters of
firms on an inhomogeneous space: the high-tech industries in Milan”,
Economic Modelling, 2012, 29, 3–11.
Degasperi L., R. Micciolo, G. Espa, S. Calzolari (2011) “Phonemic not
syllabic awareness is linked to literacy in Italian children with Down
syndrome”, Journal of Pediatric Neurology, 9, 325–332.
Bee M., G. Espa, R. Gabriele (2011) “The impact of e-inclusion in
Europe: a scenario analysis”, in P. Guerrieri and S. Bentivegna (eds.) The
Economic Impact of Digital Technologies - Measuring Inclusion and Diffusion
in Europe, Edward Elgar, Cheltenham, UK, Chapter 7, 162–187.
Bee M. (2011) “Adaptive Importance Sampling for Simulating Copula-based
Distributions”, Insurance: Mathematics & Economics, 48 (2), 237–245.
Verdecchia F., M. Bee, L. Lombardo, C. Sgarbanti, A. Gracco (2011)
“Influence of Anterior Teeth Alignment on Peer Perception in a Population of
8 to 10-year-olds”, European Journal of Orthodontics, 33 (2), 155–160.
Taufer E., N. Leonenko, M. Bee (2011) “Characteristic Function
Estimation of Ornstein-Uhlenbeck-based Stochastic Volatility Models”,
Computational Statistics and Data Analysis, 55 (8), 2525–2539.
Bee M., M. Riccaboni, S. Schiavo (2011) “Pareto versus Lognormal: a
Maximum Entropy Test”, Physical Review E, 84, 026104.
2010
Arbia G., G. Espa, D. Giuliani, A. Mazzitelli (2010) “Detecting the
existence of space-time clustering of firms”, Regional Science & Urban
Economics, 40, 311–323.
Bee M., R. Benedetti, G. Espa (2010) “A framework for Cut-off
Sampling in Business Survey Design”, Journal of Official Statistics, 26,
4, 651–671.
Benedetti R., M. Bee, G. Espa, F. Piersimoni (eds.) (2010)
Agricultural Survey Methods, J. Wiley & Sons, New York.
Anh V. V., N. Leonenko, N. R. Shieh, E. Taufer (2010) “Simulation of
Multifractal Ornstein-Uhlenbeck processes”, Nonlinearity 23, 823–843