| 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 | 77 | 2008 |
| 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 | 66 | 2013 |
| Agricultural Survey Methods R Benedetti, M Bee, G Espa, F Piersimoni | 61 | 2010 |
| 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 | 50 | 2018 |
| 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 | 46 | 2016 |
| Pareto versus lognormal: A maximum entropy test M Bee, M Riccaboni, S Schiavo Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (2 …, 2011 | 46 | 2011 |
| 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 | 39 | 2017 |
| 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 | 31 | 2010 |
| Copula-based multivariate models with applications to risk management and insurance M Bee Available at SSRN 795964, 2005 | 30 | 2005 |
| On maximum likelihood estimation of operational loss distributions M Bee University of Trento Department of Economics Working Paper, 2005 | 30 | 2005 |
| 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 | 29 | 2011 |
| Powerless: gains from trade when firm productivity is not Pareto distributed M Bee, S Schiavo Review of World Economics 154, 15-45, 2018 | 28 | 2018 |
| 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 | 27 | 2019 |
| 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 | 22 | 2011 |
| Testing isotropy in spatial econometric models G Arbia, M Bee, G Espa Spatial Economic Analysis 8 (3), 228-240, 2013 | 21 | 2013 |
| 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 | 21 | 2006 |
| Estimating and simulating loss distributions with incomplete data M Bee OPRISK & COMPLIANCE 7 (7), 36-41, 2006 | 21 | 2006 |
| Machine learning models and data-balancing techniques for credit scoring: What is the best combination? AA Hussin Adam Khatir, M Bee Risks 10 (9), 169, 2022 | 17 | 2022 |
| On maximum likelihood estimation of a Pareto mixture M Bee, R Benedetti, G Espa Computational Statistics 28, 161-178, 2013 | 17 | 2013 |
| Distribution of city size: Gibrat, pareto, zipf M Bee, M Riccaboni, S Schiavo The Mathematics of Urban Morphology, 77-91, 2019 | 16 | 2019 |
