Published Work
M. L. Battagliola and M. Bladt.
Extremile Scalar-on-Function Regression.
Canadian Journal of Statistics, 2026. http://doi.org/10.1002/cjs.70057
M. L. Battagliola and S. C. Olhede.
Modeling Spatio-Temporal Transport: From Rigid Advection to Realistic Dynamics
Environmetrics, 2026. https://doi.org/10.1002/env.70079
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, 2025. https://doi.org/10.1007/s13253-024-00601-5
M. L. Battagliola, H. Sørensen, A. Tolver, and A.-M. Staicu.
A Bias-Adjusted Estimator in Quantile Regression for Clustered Data.
Econometrics and Statistics, 2022. https://doi.org/10.1016/j.ecosta.2021.07.003
Submitted Work
M. L. Battagliola, E. Medina-Valdés, and O. Peralta.
Colored Markov-Modulated Brownian Motion for Preemptive Workload Stacks.
Preprint, 2026. Available at https://arxiv.org/abs/2607.24533
M. L. Battagliola.
Local Second-Order Geometry Induced by Deformation Maps.
Preprint, 2026. Available at https://arxiv.org/abs/2607.19043
M. L. Battagliola and O. Peralta.
Optimization-Free Concentrated Matrix-Exponentials.
Preprint, 2026. Available at https://arxiv.org/abs/2604.26304
H. Albrecher, M. L. Battagliola, M. Bladt, A. J. A. Müller, and T. Swierczynski.
Spatio-Temporal Non-Stationarity of Flood Risk in the European Alps over the Last 1,450 Years.
Preprint, 2026. Available at https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1016/
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
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
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
Work in Progress
M. L. Battagliola and O. Peralta.
The Least-Variable Matrix-Exponential Distribution with Repeated Poles.
M. L. Battagliola and J. Yslas.
Mixed Poisson Models with Time Dependence.
M. L. Battagliola and M. Bladt.
General Sampling of Copulas with Dirichlet Processes.
M. L. Battagliola, S. Elipot, J. P. Grainger, and S. C. Olhede.
Isotropic Spectral Estimation Applied to Oceanic Currents Velocities.
M. L. Battagliola, A. Pini, and H. Sørensen.
Interval-wise Testing for Functional Time Series.
M. L. Battagliola and J. O. Bauer.
Fast Inference for High-Dimensional Covariance Splits via Subsampling.
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.