M. L. Battagliola, H. Sørensen, A. Tolver, and A.-M. Staicu, A Bias-Adjusted Estimator in Quantile Regression for Clustered Data. Econometrics and Statistics, Volume 23, Pages 165–186, 2022. https://doi.org/10.1016/j.ecosta.2021.07.003
M. L. Battagliola, H. Sørensen, A. Tolver, and A.-M. Staicu. Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows. Journal of Agricultural, Biological and Environmental Statistics, 2024. https://doi.org/10.1007/s13253-024-00601-5
M. L. Battagliola and S. C. Olhede. A New Class of Realistic Spatio-Temporal Processes with Advection and Their Simulation.
Preprint, 2024. Available at https://arxiv.org/abs/2303.02756.
M. L. Battagliola and M. Bladt. Extremile Scalar-on-Function Regression with Application to Climate Scenarios. Preprint, 2024. Available at https://arxiv.org/abs/2405.20817
H. Albrecher, M. L. Battagliola, M. Bladt, A. J. A. Müller, and T. Swierczynski. Flood Occurrence in the European Alps: A Study Over 1000 Years Based on Sediment Data Preprint, University of Lausanne, 2024.
In Progress
M. L. Battagliola, Y. Fahmy, and J. Guinness. Maximum Likelihood Estimation of Latent Velocity in Evolving Random Fields.
M. L. Battagliola and J. O. Bauer Localized Functional Principal Component Analysis based on Covariance Structure.
M. L. Battagliola, S. Elipot, J. P. Grainger, and S. C. Olhede. Isotropic Spectral Estimation Applied to Oceanic Currents Velocities.
M. L. Battagliola and M. Bladt. General Sampling of Copulas with Dirichlet Processes.
M. L. Battagliola, R. T. Ogden, and S. Zhang. Analysis of Learning Curves of Mice: A Functional Approach based on Alignment.
M. L. Battagliola and J. Yslas. Anomaly Detection for Functional Data.