Publications

Filter by type:

Yu Zhao, Dan Cheng, Samuel Davenport and Armin Schwartzman. On the peak height distribution of non-stationary Gaussian random fields: 1D general covariance and scale space, arxiv, 2025 (to appear).

Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik, Samuel Davenport and Livio Finos. Inference in generalized linear models with robustness to misspecified variances, Journal of the American Statistical Association, 2025 (to appear).

David Azriel, Samuel Davenport and Armin Schwartzman. Consistency of heritability estimation from summary statistics in high-dimensional linear models, arxiv, 2025.

Samuel Davenport, Bertrand Thirion and Pierre Neuvial. FDP control in mass-univariate linear models using the residual bootstrap, Electronic Journal of Statistics, 2025.

PDF arxiv Python Package Paper Code

Jiyue Qin, Samuel Davenport and Armin Schwartzman . Simultaneous Confidence Regions for Image Excursion Sets: a Validation Study with Applications in fMRI, bioarxiv, 2025.

PDF Python Code Matlab Code

Tuo Lin, Armin Schwartzman and Samuel Davenport. Peak Inference for Gaussian Random Fields on a Lattice, arxiv, 2025.

Samuel Davenport. Conformal confidence sets for biomedical image segmentation, arxiv, 2024.

Amitay Eldar, Keren Mor Waknin, Samuel Davenport, Tamir Bendory, Armin Schwartzman, Yoel Shkolnisky. Object detection under the linear subspace model with application to cryo-EM images, arxiv, 2024.

Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik and Livio Finos. Permutation-based multiple testing when fitting many generalized linear models, arxiv, 2024.

Samuel Davenport, Armin Schwartzman, Thomas E. Nichols and Fabian J.E. Telschow. Robust FWER control in Neuroimaging using Random Field Theory: Riding the SuRF to Continuous Land Part 2, arxiv, 2023.

Fabian J.E. Telschow and Samuel Davenport. Precise FWER Control for Gaussian Related Fields: Riding the SuRF to continuous land- Part 1, arxiv, 2023.

Samuel Davenport, Thomas E. Nichols and Armin Schwartzman. Confidence regions for the location of peaks of smooth random fields, arxiv, 2022.

Samuel Davenport and Fabian JE Telschow. On the finiteness of the second moment of the number of critical points of Gaussian random fields, arxiv, 2022.

Fabian JE Telschow, Samuel Davenport and Armin Schwartzman. Functional delta residuals and applications to functional effect sizes, Journal of Multivariate Analysis, 2022.

arxiv R-package

Samuel Davenport. Statistical Inference in fMRI using Random Field Theory and Resampling Methods, PhD Thesis, 2021.

Samuel Davenport and Thomas E. Nichols. The expected behaviour of random fields in high dimensions: contradictions in the results of Bansal and Peterson (2018), Magnetic Resonance Imaging, 2021.

Samuel Davenport and Thomas E. Nichols. Selective peak inference: Unbiased estimation of raw and standardized effect size at local maxima, NeuroImage, 2020.

Samuel Davenport Statistical Analysis in Neuroimaging Structural Breaks, Part III Master's thesis, 2016.