Discussion contributions and commissioned material
Battey, H. S. (2024)
D. R. Cox: aspects of scientific inference.
J. R. Statist. Soc. Ser. A, 187, 594-605 (invited issue).
Battey, H. S. (2024)
Discussion of `Parameterizing and simulating from causal models' by Evans and Didelez.
J. R. Statist. Soc. Ser. B, 86, 575-576.
Battey, H. S. (2023)
Inducement of population-level sparsity.
Canadian J. Statist., 51, 760-768.
(Festschrift for Nancy Reid)
Battey, H. S. (2023)
D. R. Cox: extracts from a memorial lecture.
Harvard Data Science Review, 5 (2).
Battey, H. S. (2022)
D. R. Cox Memorial Lecture.
JSM Proceedings, Washington DC, 635-639.
Battey, H. S. (2022)
Discussion of `Assumption-lean inference for generalised linear model parameters' by Vansteelandt and Dukes.
J. R. Statist. Soc. Ser. B, 84, 696-698.
Battey, H. S. and Reid, N. (2022)
Obituary: David Cox
IMS Bulletin, 51 (3), 14-16.
Battey, H. S. and Cox, D. R. (2022)
Aspects of non-standard multivariate analysis.
J. Multivar. Analysis (invited issue), 188, 104810.
A few preprints
Battey, H. S., McCullagh, P. and Xiang, D. (2024)
Non-standard boundary behaviour in binary mixture models.
arXiv:2407.20162.
Rybak, J., Battey, H. S. and Bharath, K. (2024)
Regression graphs and sparsity-inducing reparametrisations.
arXiv:2402.09112.
Peer-reviewed publications
Battey, H. S. (2024)
Maximal co-ancillarity and maximal co-sufficiency.
Information Geometry, to appear.
Lewis, R. and Battey, H. S. (2024)
Cox reduction and confidence sets of models: a theoretical elucidation.
Statistical Science, to appear.
Rybak, J., Battey, H. S. and Zhou, W-X. (2024)
On inference in the implicit probability models of the support vector machine.
J. Machine Learning Research, to appear.
Battey, H. S. and Reid, N. (2024)
On the role of parametrisation in models with a misspecified nuisance component.
Proc. Nat. Acad. Sci., 121 (36), e2402736121.
Lewis, R. and Battey, H. S. (2024)
On inference in high-dimensional logistic regression models with separated data.
Biometrika, 111, 989-1011.
Battey, H. S. and McCullagh, P. (2024)
An anomaly arising in the analysis of processes with more than one source of variability.
Biometrika, 111, 677-689.
Battey, H. S., Cox, D. R. and Lee, S. (2024)
On partial likelihood and the construction of factorisable transformations.
Information Geometry, 7, 9-28.
Ward, S., Battey, H. S. and Cohen, E.A.K. (2023)
Estimation of the intensity function of a spatial point process on a Riemannian manifold.
Biometrika, 110, 1009-1021.
Battey, H. S. and Reid, N. (2023)
On inference in high-dimensional regression.
J. R. Statist. Soc. Ser. B, 85, 149-175. [matlab implementation]
Battey, H. S. and Cox, D. R. (2023)
Missing observations in regression: a conditional approach.
Royal Society Open Science, 10, 220267. [matlab implementation]
Battey, H. S. and Cox, D. R. (2022)
Some perspectives on inference in high dimensions.
Statistical Science, 37, 110-122.
Rybak, J. and Battey, H. S. (2021)
Sparsity induced by covariance transformation: some deterministic and probabilistic results.
Proc. Roy. Soc. Lond. A, 477, 20200756.
Battey, H. S. (2021)
A note on the analytic approximation of exceedance probabilities in heterogeneous populations.
Statist. Probab. Lett., 179, 109215.
Nieto-Reyes, A. and Battey, H. S. (2021)
A topologically valid construction of depth for functional data.
J. Multivariate Analysis, 184, 104738.
Battey, H. S. and Cox, D. R. (2020)
High-dimensional nuisance parameters: an example from parametric survival analysis.
Information Geometry, 3, 119-148.
Battey, H. S. (2019)
On sparsity scales and covariance matrix transformations.
Biometrika, 106, 605-617.
Battey, H. S., Cox, D. R. and Jackson, M. V. (2019)
On the linear in probability model for binary data.
Royal Society Open Science, 6, 190067. [matlab implementation]
Hoeltgebaum, H. H. and Battey, H. S. (2019)
HCmodelSets: An R package for specifying sets of well-fitting models in high dimensions.
The R Journal, 11, 370-379.
Battey, H. S. and Cox, D. R. (2018)
Large numbers of explanatory variables: a probabilistic assessment.
Proc. Roy. Soc. Lond. A, 474, 20170631. [software]
Avella, M., Battey, H. S., Fan, J. and Li, Q. (2018)
Robust estimation of high-dimensional covariance and precision matrices.
Biometrika, 105, 271-284.
Battey, H. S., Fan, J., Liu, Lu and Zhu, Z. (2018)
Distributed testing and estimation in sparse high dimensional models.
Ann. Statist., 46, 1352-1382.
Cox, D. R. and Battey, H. S. (2017)
Large numbers of explanatory variables, a semi-descriptive analysis.
Proc. Nat. Acad. Sci., 114 (32), 8592-8595. [software].
Battey, H. S. (2017)
Eigen structure of a new class of structured covariance and inverse covariance matrices.
Bernoulli, 23, 3166-3177.
Nieto-Reyes, A. and Battey, H. S. (2016)
A topologically valid definition of depth for functional data.
Statistical Science, 31 61-79.
Battey, H. S., Feng, Q. and Smith, R. J. (2016)
Improving confidence set estimation when parameters are weakly identified.
Statist. Probab. Lett., 118 117-123.
Battey, H. S. and Linton, O. B. (2014)
Nonparametric estimation of multivariate elliptic densities via finite mixture sieves.
J. Multivar. Analysis, 123 43-67.
Battey, H. S. and Sancetta, A. (2013)
Conditional estimation for dependent functional data.
J. Multivar. Analysis, 120 1-17.
Beale, N., Rand, D., Battey, H., Croxson, May, R. M., Nowak, M. A. (2011)
Individual versus systemic risk and the Regulator's Dilemma.
Proc. Nat. Acad. Sci., 108 (31) 12647-12652
Further peer-reviewed publications
I made some relatively small contributions to the following additional papers.
Beale, N., Gunton, R., Bashe, K., Battey, H. S. and MacKay, R. S. (2025).
Dynamics of value-tracking.
Journal of Dynamics and Games, 12, 24-47.
Tan, K. M., Battey, H. S. and Zhou, W-X. (2022)
Communication-constrained quantile regression with statistical guarantees.
J. Machine Learning Research, 23, 12456-12516.
Castagno, S. and five others including Battey, H. S. (2021)
Seizure outcomes of temporoparietooccipital and frontal disconnection in children with drug-resistant epilepsy.
Epilepsy Research, 177, 106769.
Beale, N., Battey, H. S., Davison, A. C. and MacKay, R. S. (2020)
An unethical optimization principle.
Royal Society Open Science, 7, 200462.