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Marco Bee
Marco Bee
Professore di statistica economica, Università di Trento
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Dental arch changes following rapid maxillary expansion
S Mutinelli, M Cozzani, M Manfredi, M Bee, G Siciliani
The European Journal of Orthodontics 30 (5), 469-476, 2008
752008
The size distribution of US cities: Not Pareto, even in the tail
M Bee, M Riccaboni, S Schiavo
Economics Letters 120 (2), 232-237, 2013
672013
Agricultural Survey Methods
R Benedetti, M Bee, G Espa, F Piersimoni
612010
ATXN1 intermediate-length polyglutamine expansions are associated with amyotrophic lateral sclerosis
S Lattante, MG Pomponi, A Conte, G Marangi, G Bisogni, AK Patanella, ...
Neurobiology of aging 64, 157. e1-157. e5, 2018
452018
Pareto versus lognormal: A maximum entropy test
M Bee, M Riccaboni, S Schiavo
Physical Review E 84 (2), 026104, 2011
442011
Realizing the extremes: Estimation of tail-risk measures from a high-frequency perspective
M Bee, DJ Dupuis, L Trapin
Journal of Empirical Finance 36, 86-99, 2016
432016
Where Gibrat meets Zipf: Scale and scope of French firms
M Bee, M Riccaboni, S Schiavo
Physica A: Statistical Mechanics and its Applications 481, 265-275, 2017
382017
A framework for cut-off sampling in business survey design
R Benedetti, M Bee, G Espa
Journal of Official Statistics 26 (4), 651-671, 2010
322010
Copula-based multivariate models with applications to risk management and insurance
M Bee
Available at SSRN 795964, 2005
302005
On maximum likelihood estimation of operational loss distributions
M Bee
University of Trento Department of Economics Working Paper, 2005
302005
Influence of anterior tooth alignment on peer perception in 8-to 10-year-old children
F Verdecchia, M Bee, L Lombardo, C Sgarbanti, A Gracco
The European Journal of Orthodontics 33 (2), 155-160, 2011
292011
Realized peaks over threshold: A time-varying extreme value approach with high-frequency-based measures
M Bee, DJ Dupuis, L Trapin
Journal of Financial Econometrics 17 (2), 254-283, 2019
282019
Powerless: gains from trade when firm productivity is not Pareto distributed
M Bee, S Schiavo
Review of World Economics 154, 15-45, 2018
282018
Estimation of the lognormal-Pareto distribution using probability weighted moments and maximum likelihood
M Bee
Communications in statistics-simulation and computation 44 (8), 2040-2060, 2015
232015
Characteristic function estimation of Ornstein–Uhlenbeck-based stochastic volatility models
E Taufer, N Leonenko, M Bee
Computational Statistics & Data Analysis 55 (8), 2525-2539, 2011
222011
Testing isotropy in spatial econometric models
G Arbia, M Bee, G Espa
Spatial Economic Analysis 8 (3), 228-240, 2013
212013
Estimating the parameters in the loss distribution approach: How can we deal with truncated data?
M Bee
The advanced measurement approach to operational risk, 123-144, 2006
212006
Estimating and simulating loss distributions with incomplete data
M Bee
OPRISK & COMPLIANCE 7 (7), 36-41, 2006
212006
On maximum likelihood estimation of a Pareto mixture
M Bee, R Benedetti, G Espa
Computational Statistics 28, 161-178, 2013
172013
Distribution of city size: Gibrat, pareto, zipf
M Bee, M Riccaboni, S Schiavo
The Mathematics of Urban Morphology, 77-91, 2019
162019
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Artículos 1–20