Heather Battey

14 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-9387-4628

Department of Mathematics, Imperial College London , 180 Queen’s Gate, London SW7 2AZ, U.K

Publications

Regression graphs and sparsity-inducing reparametrizations — Biometrika 2026
On Inference for the Support Vector Machine — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
Heather Battey’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
On inference in high-dimensional logistic regression models with separated data — Biometrika 2024
An anomaly arising in the analysis of processes with more than one source of variability — Biometrika 2024
On inference in high-dimensional regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold — Biometrika 2023
Heather Battey’s contribution to the Discussion of ‘Assumption-lean inference for generalised linear model parameters’ by Vansteelandt and Dukes — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
On sparsity scales and covariance matrix transformations — Biometrika 2019
Distributed testing and estimation under sparse high dimensional models — The Annals of Statistics 2018
Robust estimation of high-dimensional covariance and precision matrices — Biometrika 2018
Heather Battey’s invited contribution to the discussion of ‘Regression by composition’ by Farewell et al — Journal of the Royal Statistical Society: Series B (Statistical Methodology)
Post-reduction inference for confidence sets of models — Biometrika