| Advanced spatial modeling with stochastic partial differential equations using R and INLA E Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ... Chapman and Hall/CRC, 2018 | 313 | 2018 |
| Neural networks for parameter estimation in intractable models A Lenzi, J Bessac, J Rudi, ML Stein Computational Statistics & Data Analysis 185, 107762, 2023 | 33 | 2023 |
| Benefits of spatiotemporal modeling for short‐term wind power forecasting at both individual and aggregated levels A Lenzi, I Steinsland, P Pinson Environmetrics 29 (3), e2493, 2018 | 31 | 2018 |
| Parameter estimation with dense and convolutional neural networks applied to the FitzHugh–Nagumo ODE J Rudi, J Bessac, A Lenzi Mathematical and Scientific Machine Learning, 781-808, 2022 | 28 | 2022 |
| Spatial models for probabilistic prediction of wind power with application to annual-average and high temporal resolution data A Lenzi, P Pinson, LH Clemmensen, G Guillot Stochastic Environmental Research and Risk Assessment 31, 1615-1631, 2017 | 18 | 2017 |
| Power grid frequency prediction using spatiotemporal modeling A Lenzi, J Bessac, M Anitescu Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (6 …, 2021 | 9 | 2021 |
| Improving bayesian local spatial models in large datasets A Lenzi, S Castruccio, H Rue, MG Genton Journal of Computational and Graphical Statistics 30 (2), 349-359, 2020 | 8 | 2020 |
| Very short-term spatio-temporal wind power prediction using a censored Gaussian field A Baxevani, A Lenzi Stochastic environmental research and risk assessment 32, 931-948, 2018 | 8 | 2018 |
| Spatio-temporal cross-covariance functions under the Lagrangian framework with multiple advections MLO Salvaña, A Lenzi, MG Genton Journal of the American Statistical Association 118 (544), 2746-2761, 2023 | 7 | 2023 |
| Towards black-box parameter estimation A Lenzi, H Rue arXiv preprint arXiv:2303.15041, 2023 | 6 | 2023 |
| Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods J Walchessen, A Lenzi, M Kuusela Spatial Statistics, 100848, 2024 | 5 | 2024 |
| Automatic cross-validation in structured models: Is it time to leave out leave-one-out? A Adin, ET Krainski, A Lenzi, Z Liu, J Martínez-Minaya, H Rue Spatial Statistics, 100843, 2024 | 5 | 2024 |
| Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia A Lenzi, MG Genton The Annals of Applied Statistics 14 (3), 1359-1378, 2020 | 5 | 2020 |
| Analysis of aggregated functional data from mixed populations with application to energy consumption A Lenzi, CPE de Souza, R Dias, NL Garcia, NE Heckman Environmetrics 28 (2), e2414, 2017 | 5 | 2017 |
| Detecting large frequency excursions in the power grid with Bayesian decision theory A Lenzi, J Bessac, M Anitescu IEEE Open Access Journal of Power and Energy 9, 66-75, 2022 | 2 | 2022 |
| How can statistics help to prevent blackouts? A Lenzi, M Anitescu Significance 20 (1), 24-27, 2023 | 1 | 2023 |
| Spatio-temporal modelling for short term wind power forecasts. Why, when and how. A Lenzi, I Steinsland, P Pinson EGU General Assembly Conference Abstracts, 3633, 2017 | 1 | 2017 |
| A spatial model for the instantaneous estimation of wind power at a large number of unobserved sites A Lenzi, G Guillot, P Pinson Procedia Environmental Sciences 26, 131-134, 2015 | 1 | 2015 |
| Lenzi A Lenzi, I Steinsland, P Pinson Benefits of spatio-temporal modelling for short term wind power forecasting …, 0 | 1 | |
| A variational neural Bayes framework for inference on intractable posterior distributions E Maceda, EC Hector, A Lenzi, BJ Reich arXiv preprint arXiv:2404.10899, 2024 | | 2024 |
