| Matrix Mittag–Leffler distributions and modeling heavy-tailed risks H Albrecher, M Bladt, M Bladt Extremes 23, 425-450, 2020 | 24 | 2020 |
| Dividends: From refracting to ratcheting H Albrecher, N Bäuerle, M Bladt Insurance: Mathematics and Economics 83, 47-58, 2018 | 19 | 2018 |
| Mortality modeling and regression with matrix distributions H Albrecher, M Bladt, M Bladt, J Yslas Insurance: Mathematics and Economics 107, 68-87, 2022 | 16* | 2022 |
| Multivariate matrix Mittag–Leffler distributions H Albrecher, M Bladt, M Bladt Annals of the Institute of Statistical Mathematics 73, 369-394, 2021 | 13 | 2021 |
| Flood occurrence change-point analysis in the paleoflood record from Lake Mondsee (NE Alps) H Albrecher, M Bladt, D Kortschak, F Prettenthaler, T Swierczynski Global and Planetary Change 178, 65-76, 2019 | 13 | 2019 |
| Time series copula models using d-vines and v-transforms M Bladt, AJ McNeil Econometrics and Statistics 24, 27-48, 2022 | 12* | 2022 |
| Combined tail estimation using censored data and expert information M Bladt, H Albrecher, J Beirlant Scandinavian Actuarial Journal 2020 (6), 503-525, 2020 | 11 | 2020 |
| Multivariate fractional phase–type distributions H Albrecher, M Bladt, M Bladt Fractional Calculus and Applied Analysis 23 (5), 1431-1451, 2020 | 10 | 2020 |
| Continuous scaled phase-type distributions H Albrecher, M Bladt, M Bladt, J Yslas Stochastic Models 39 (2), 293-322, 2023 | 9 | 2023 |
| Threshold selection and trimming in extremes M Bladt, H Albrecher, J Beirlant Extremes 23, 629-665, 2020 | 9* | 2020 |
| Phase-type distributions for claim severity regression modeling M Bladt ASTIN Bulletin: The Journal of the IAA 52 (2), 417-448, 2022 | 7 | 2022 |
| Tail measures and regular variation M Bladt, E Hashorva, G Shevchenko Electronic Journal of Probability 27, 1-43, 2022 | 7 | 2022 |
| Phase-type mixture-of-experts regression for loss severities M Bladt, J Yslas Scandinavian Actuarial Journal 2023 (4), 303-329, 2023 | 6 | 2023 |
| Time series with infinite-order partial copula dependence M Bladt, AJ McNeil Dependence Modeling 10 (1), 87-107, 2022 | 6* | 2022 |
| matrixdist: An R package for inhomogeneous phase-type distributions M Bladt, J Yslas arXiv preprint arXiv:2101.07987, 2021 | 6 | 2021 |
| Matrixdist: Statistics for matrix distributions M Bladt, J Yslas R package version 1 (2), 2021 | 6 | 2021 |
| On market share drivers in the swiss mandatory health insurance sector D Daily-Amir, H Albrecher, M Bladt, J Wagner Risks 7 (4), 114, 2019 | 5 | 2019 |
| Characterisation of exchangeable sequences through empirical distributions M Bladt, D Shaiderman arXiv preprint arXiv:1903.07861, 2019 | 5 | 2019 |
| Trimmed extreme value estimators for censored heavy-tailed data M Bladt, H Albrecher, J Beirlant Electronic Journal of Statistics 15 (1), 3112-3136, 2021 | 4 | 2021 |
| A tractable class of multivariate phase-type distributions for loss modeling M Bladt North American Actuarial Journal, 1-21, 2023 | 3 | 2023 |
