Simulation-based inference for simultaneous processes on regular lattices. - Xavier de Luna; Marc G. Genton (Stat. Comput., 2002)

Estimating Prediction Error: Cross-Validation vs. Accumulated Prediction Error. - Jenny Häggström; Xavier de Luna (Commun. Stat. Simul. Comput., 2010)

Targeted smoothing parameter selection for estimating average causal effects. - Jenny Häggström; Xavier de Luna (Comput. Stat., 2014)

Data-driven algorithms for dimension reduction in causal inference. - Emma Persson; Jenny Häggström; Ingeborg Waernbaum; Xavier de Luna (Comput. Stat. Data Anal., 2017)

A Hierarchical Bayesian Mixture Model Approach for Analysis of Resting-State Functional Brain Connectivity: An Alternative to Thresholding. - Tetiana Gorbach; Anders Lundquist; Xavier de Luna; Lars Nyberg; Alireza Salami (Brain Connect., 2020)

Robot Causal Discovery Aided by Human Interaction. - Filip Edström; Thomas Hellström; Xavier de Luna (RO-MAN, 2023)

Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency. - Tetiana Gorbach; Xavier de Luna; Juha Karvanen; Ingeborg Waernbaum (J. Mach. Learn. Res., 2023)

Convolutional Neural Networks for Valid and Efficient Causal Inference. - Mohammad Ghasempour; Niloofar Moosavi; Xavier de Luna (J. Comput. Graph. Stat., 2024)