Annals of Applied Statistics

Papers
(The H4-Index of Annals of Applied Statistics is 13. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Composite mixture of log-linear models with application to psychiatric studies28
A compositional model to assess expression changes from single-cell RNA-seq data27
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support21
Inferring synergistic and antagonistic interactions in mixtures of exposures21
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data17
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution16
ALPHA: Audit that learns from previously hand-audited ballots16
Multilevel time-series models for small area estimation at different frequencies and domain levels16
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel15
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data15
Analysing the causal effect of London cycle superhighways on traffic congestion15
Uncertainty quantification of a computer model for binary black hole formation15
Graph link prediction in computer networks using Poisson matrix factorisation14
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization13
Dirichlet-tree multinomial mixtures for clustering microbiome compositions13
Control charts for dynamic process monitoring with an application to air pollution surveillance13
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis13
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study13
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets13
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