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 M. Bladt. Extremile Scalar-on-Function Regression. Accepted by the Canadian Journal of Statistics. Available at https://arxiv.org/abs/2405.20817
M. L. Battagliola and S. C. Olhede. Modeling Spatio-Temporal Transport: From Rigid Advection to Realistic Dynamics
Preprint, 2024. Available at https://arxiv.org/abs/2303.02756.
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/profile/Alaric-Mueller
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. Preprint, 2025. Available at https://arxiv.org/abs/2506.02836
M. L. Battagliola, L. J. Benoit, S. Canetta, S. Zhang, and R. T. Ogden. Functional Modeling of Learning and Memory Dynamics in Cognitive Disorders. Preprint, 2025. Available at http://arxiv.org/abs/2512.18760
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 and J. Yslas. Anomaly Detection for Functional Data.
O. Angtuncio and M. L. Battagliola Principal Component Analysis on Connected Graphs: An Approach from Spanning Trees.
M. L. Battagliola, O. Peralta, and J. Yslas. Thinning and Thickening Discrete Phase-Type Counts.
M. L. Battagliola, A. Pini, and H. Sørensen Interval-wise Testing for Functional Time Series.
Software Contribution
Consistent with my commitment to Open Science, all research submissions are accompanied by documented code. My GitHub portfolio (https://github.com/LauraBattagliola) features 5 public repositories, including 3 R packages.