Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations Q Long, M Scavino, R Tempone, S Wang Computer Methods in Applied Mechanics and Engineering 259, 24-39, 2013 | 169 | 2013 |
Bayesian inference and model comparison for metallic fatigue data I Babuška, Z Sawlan, M Scavino, B Szabó, R Tempone Computer Methods in Applied Mechanics and Engineering 304, 171-196, 2016 | 66 | 2016 |
Ultrasound-guided internal jugular vein catheterization: a randomized controlled trial K Rando, J Castelli, JP Pratt, M Scavino, G Rey, ME Rocca, G Zunini Heart, lung and vessels 6 (1), 13, 2014 | 65 | 2014 |
A Laplace method for under-determined Bayesian optimal experimental designs Q Long, M Scavino, R Tempone, S Wang Computer Methods in Applied Mechanics and Engineering 285, 849-876, 2015 | 35 | 2015 |
Weak Convergence of Marked Empirical Processes for Focused Inference on AR(p) vs AR(p + 1) Stationary Time Series A Cabaña, EM Cabaña, M Scavino Methodology and Computing in Applied Probability 14 (3), 793-810, 2012 | 26* | 2012 |
Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements M Iglesias, Z Sawlan, M Scavino, R Tempone, C Wood International Journal of Heat and Mass Transfer 116, 417-431, 2018 | 25 | 2018 |
Some probabilistic properties of fractional point processes R Garra, E Orsingher, M Scavino Stochastic Analysis and Applications 35 (4), 701-718, 2017 | 17 | 2017 |
Spatial Poisson processes for fatigue crack initiation I Babuška, Z Sawlan, M Scavino, B Szabó, R Tempone Computer Methods in Applied Mechanics and Engineering 345, 454-475, 2019 | 13 | 2019 |
A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions F Ruggeri, Z Sawlan, M Scavino, R Tempone | 13 | 2017 |
An alternating motion with stops and the related planar, cyclic motion with four directions S Leorato, E Orsingher, M Scavino Advances in Applied Probability 35 (4), 1153-1168, 2003 | 11 | 2003 |
Quantifying uncertainty with a derivative tracking SDE model and application to wind power forecast data R Caballero, A Kebaier, M Scavino, R Tempone Statistics and Computing 31 (Article number: 64), 2021 | 8 | 2021 |
Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: application to heat transfer in building walls M Iglesias, Z Sawlan, M Scavino, R Tempone, C Wood Inverse Problems 34 (7), 075008, 2018 | 7 | 2018 |
Frecuencia de las enfermedades de la mucosa bucal en el Uruguay en niños de 0 a 14 años V Keochgerián, M Cuestas, D Padula, M Scavino Odontoestomatología 11 (13), 43-57, 2009 | 7 | 2009 |
Procesos empíricos transformados y pruebas de Kolmogorov-Smirnov con un parámetro estimado M Scavino Publicaciones Matemáticas del Uruguay 8, 179-205, 1999 | 7 | 1999 |
Predicción del valor de un inmueble mediante técnicas agregativas JJ Goyeneche, L Moreno, M Scavino Serie DT (17/1), 2017 | 6 | 2017 |
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions--Low-Rank Tensor Approximations A Litvinenko, Y Marzouk, HG Matthies, M Scavino, A Spantini arXiv preprint arXiv:2111.07164, 2021 | 5 | 2021 |
Evaluación de la corvina (Micropogonias furnieri) en la Zona Común de Pesca Argentino-Uruguaya MI Lorenzo, M Scavino, E Chiesa Evaluación de recursos pesqueros de Uruguay mediante modelos dinámicos, 31, 2013 | 5 | 2013 |
Evaluación de la pescadilla (Cynoscion guatucupa) en la Zona Común de Pesca Argentino-Uruguaya mediante modelos dinámicos de producción MI Lorenzo, M Scavino Evaluación de recursos pesqueros de Uruguay mediante modelos dinámicos, 9, 2013 | 4 | 2013 |
Computing ‐divergences and distances of high‐dimensional probability density functions A Litvinenko, Y Marzouk, HG Matthies, M Scavino, A Spantini Numerical Linear Algebra with Applications 30 (3), e2467, 2023 | 3 | 2023 |
Técnicas de detección de fibrilación auricular en electrocardiogramas de corta duración M Scavino, V Estragó, M Muñoz, A Castrillejo, R Álvarez-Vaz | 1 | 2020 |