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Albrecher, Hansjörg; Araujo-Acuna, José Carlos (2022). On The Randomized Schmitter Problem. Methodology and computing in applied probability, 24(2), pp. 515-535. Springer 10.1007/s11009-021-09910-5
Hüsler, J; Temido, M G; Valente-Freitas, A (2022). On the Maximum of a Bivariate INMA Model with Integer Innovations. Methodology and computing in applied probability, 24(4), pp. 2373-2402. Springer 10.1007/s11009-021-09920-3
Henzi, Alexander; Mösching, Alexandre; Dümbgen, Lutz (2022). Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression. Methodology and computing in applied probability, 24(4), pp. 2633-2645. Springer 10.1007/s11009-022-09937-2
Bogdanskii, V. Yu.; Klesov, O. I.; Molchanov, I. (2021). Uniform strong law of large numbers. Methodology and computing in applied probability, 23(2), pp. 461-470. Springer 10.1007/s11009-019-09711-x
Cirillo, Pasquale; Hüsler, Jürg; Muliere, Pietro (2013). Alarm systems and catastrophes from a diverse point of view. Methodology and computing in applied probability, 15(4), pp. 821-839. Springer 10.1007/s11009-012-9281-z
Gatto, Riccardo (2012). Saddlepoint Approximations to Tail Probabilities and Quantiles of Inhomogeneous Discounted Compound Poisson Processes with Periodic Intensity Functions. Methodology and computing in applied probability, 14(4), pp. 1053-1074. Heidelberg: Springer 10.1007/s11009-011-9219-x
Gatto, Riccardo (2010). A Saddlepoint Approximation to the Distribution of Inhomogeneous Discounted Compound Poisson Processes. Methodology and computing in applied probability, 12(3), pp. 533-551. Springer 10.1007/s11009-008-9116-0
