Annals of Applied Statistics

Papers
(The H4-Index of Annals of Applied Statistics is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support35
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data26
Inferring synergistic and antagonistic interactions in mixtures of exposures23
Composite mixture of log-linear models with application to psychiatric studies23
ALPHA: Audit that learns from previously hand-audited ballots22
Factor-assisted learning of ultrahigh-dimensional covariates with distributed functional and scalar mixtures with applications to the Avon Longitudinal Study of Parents and Children22
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution19
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions18
Multilevel time-series models for small area estimation at different frequencies and domain levels18
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data17
Dirichlet-tree multinomial mixtures for clustering microbiome compositions17
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets17
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study17
Graph link prediction in computer networks using Poisson matrix factorisation16
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization16
Sequential Monte Carlo for sampling balanced and compact redistricting plans16
Control charts for dynamic process monitoring with an application to air pollution surveillance16
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