BIOMETRIKA

Spectral density estimation for random fields via periodic embeddings.

Accounting for unobserved covariates with varying degrees of estimability in high-dimensional biological data.

Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’

Generalized meta-analysis for multiple regression models across studies with disparate covariate information.

Constrained likelihood for reconstructing a directed acyclic Gaussian graph.

Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series.

Testing for independence in arbitrary distributions

Counting process-based dimension reduction methods for censored outcomes.

Integrating the evidence from evidence factors in observational studies

A sequential algorithm for false discovery rate control on directed acyclic graphs

Pseudo-population bootstrap methods for imputed survey data.

Low-risk population size estimates in the presence of capture heterogeneity

Goodness‐of‐fit tests for the cure rate in a mixture cure model

Homogeneity tests of covariance matrices with high-dimensional longitudinal data.

Nonparametric regression with adaptive truncation via a convex hierarchical penalty

Semiparametric inference for the dominance index under the density ratio model

Within-cluster resampling for multilevel models under informative cluster size

Optimal designs for frequentist model averaging.

On nonparametric maximum likelihood estimation with double truncation.

Discussion of ‘Gene hunting with hidden Markov model knockoffs’

Sufficient direction factor model and its application to gene expression quantitative trait loci discovery.

Statistical inference of genetic pathway analysis in high dimensions.

Testing for individual sphericity in heterogeneous panels

On sparsity scales and covariance matrix transformations

Nonidentifiability in the presence of factorization for truncated data.