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 Generalized Additive Mixed Model Approach Based on Lake Sediments of the last 1500 Years. Preprint, 2024. Available at https://www.researchgate.net
Y. Fahmy, M. L. Battagliola, and J. Guinness. Estimating Velocity Vector Fields Using Transport Gaussian Processes. Preprint, 2025. Available at https://arxiv.org/abs/2505.10898
M. L. Battagliola and J. O. Bauer Localized Functional Principal Component Analysis based on Covariance Structure. Available upon request.
In Progress
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.