Annals of Applied Statistics

Papers
(The TQCC of Annals of Applied Statistics is 2. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences21
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel20
Assessing treatment effect through compliance score in randomized trials with noncompliance20
VCSEL: Prioritizing SNP-set by penalized variance component selection20
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes17
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules16
Designing experiments for estimating an appropriate outlet size for a silo type problem15
Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data15
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data15
A behavioral approach to repeated Bayesian security games13
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support13
Bayesian multiple instance classification based on hierarchical probit regression13
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV13
Latent subgroup identification in image-on-scalar regression12
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA12
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data11
Multilevel time-series models for small area estimation at different frequencies and domain levels11
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis11
A bridging model to reconcile statistics based on data from multiple surveys11
A compositional model to assess expression changes from single-cell RNA-seq data10
Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains10
Predictive inference for travel time on transportation networks10
Robust causal inference for incremental return on ad spend with randomized paired geo experiments10
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing10
Clustering on the torus by conformal prediction9
Composite mixture of log-linear models with application to psychiatric studies9
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions9
Robust sensible adversarial learning of deep neural networks for image classification9
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration8
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh8
Inferring food intake from multiple biomarkers using a latent variable model8
Bayesian modeling of insurance claims for hail damage8
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic8
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography8
Identification of influencing factors on self-reported count data with multiple potential inflated values7
Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data7
Higher criticism for discriminating word-frequency tables and authorship attribution7
Hospital quality risk standardization via approximate balancing weights7
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes7
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial7
Athlete rating in multicompetitor games with scored outcomes via monotone transformations7
ALPHA: Audit that learns from previously hand-audited ballots7
Surrogate method for partial association between mixed data with application to well-being survey analysis6
Multiscale Poisson process approaches for detecting and estimating differences from high-throughput sequencing assays6
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records6
Spatiotemporal satellite data imputation using sparse functional data analysis6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling6
A latent variable approach for modeling relational data with multiple receivers6
Quantile regression decomposition analysis of disparity research using complex survey data: Application to disparities in BMI and telomere length between U.S. minority and white population groups6
Analysing the causal effect of London cycle superhighways on traffic congestion6
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution6
Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach6
Retrospective varying coefficient association analysis of longitudinal binary traits: Application to the identification of genetic loci associated with hypertension6
A flexible model for correlated count data, with application to multicondition differential expression analyses of single-cell RNA sequencing data6
Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data6
Modeling curves and derivatives as predictors for traffic breakdown probabilities6
Nested conformal prediction sets for classification with applications to probation data6
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts6
Multiple latent clustering model for the inference of RNA life-cycle kinetic rates from sequencing data5
Structured hierarchical models for probabilistic inference from perturbation screening data5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.5
Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection5
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data5
The short-term dynamics of conflict-driven displacement: Bayesian modeling of disaggregated data from Somalia5
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions5
Nonparametric causal decomposition of group disparities5
Generative machine learning methods for multivariate ensemble postprocessing5
Pan-disease clustering analysis of the trend of period prevalence5
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification5
Nested Dirichlet models for unsupervised attack pattern detection in honeypot data5
Estimating Covid-19 transmission time using Hawkes point processes5
Inferring synergistic and antagonistic interactions in mixtures of exposures5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers5
Spatio-temporal analysis of dependent risk with an application to cyberattacks data5
Design-based inference for spatial experiments under unknown interference5
Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada5
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial5
Tensor-variate finite mixture modeling for the analysis of university professor remuneration5
Has the Covid-19 outbreak capsized the predictive performance of Bayesian VAR models with cointegration and time-varying volatility?5
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study4
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball4
Two-stage circular-circular regression with zero inflation: Application to medical sciences4
Contrastive latent variable modeling with application to case-control sequencing experiments4
Low-rank longitudinal factor regression with application to chemical mixtures4
Prediction of hereditary cancers using neural networks4
Bayesian functional registration of fMRI activation maps4
Contour location for reliability in airfoil simulation experiments using deep Gaussian processes4
Dimensions, power and factors in an observational study of behavioral problems after physical abuse of children4
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles4
Causal mediation analysis for sparse and irregular longitudinal data4
Comparative judgement modelling to map forced marriage at local levels4
Two-way sparsity for time-varying networks with applications in genomics4
Sequential Monte Carlo for sampling balanced and compact redistricting plans4
Estimating the effects of a California gun control program with multitask Gaussian processes4
Predicting census survey response rates with parsimonious additive models and structured interactions4
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization4
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics4
Knockoffs with side information4
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage4
Extended stochastic block models with application to criminal networks4
Overlap violations in external validity: Application to Ugandan cash transfer programs4
Inferring mechanistic parameters of somatic hypermutation using neural networks and approximate Bayesian computation4
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data4
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition4
Fitting stochastic epidemic models to gene genealogies using linear noise approximation3
A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data3
Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome3
A novel estimator of Earth’s curvature (Allowing for inference as well)3
Improved inference on risk measures for univariate extremes3
Joint stochastic simulation of extreme coastal and offshore significant wave heights3
Preelectoral polls variability: A hierarchical Bayesian model to assess the role of house effects with application to Italian elections3
Bayesian projections of total fertility rate conditional on the United Nations sustainable development goals3
Probabilistic forecasting of the Arctic sea ice edge with contour modeling3
Applied regression analysis of correlations for correlated data3
Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data3
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size3
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile3
Multistate capture–recapture models for irregularly sampled data3
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation3
Estimating mode effects from a sequential mixed-mode experiment using structural moment models3
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold3
Bayesian semiparametric long memory models for discretized event data3
Bayesian bi-clustering methods with applications in computational biology3
The Bayesian nested lasso for mixed frequency regression models3
A simple and flexible test of sample exchangeability with applications to statistical genomics3
Bayesian model selection: Application to the adjustment of fundamental physical constants3
Hierarchical Bayesian modeling of ocean heat content and its uncertainty3
Graph-aware modeling of brain connectivity networks3
Social order statistics models for ranking data with analysis of preferences in social networks3
Causal inference for the effect of mobility on COVID-19 deaths3
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography3
Modeling panels of extremes3
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness3
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging3
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data3
Sequentially valid tests for forecast calibration3
An omnibus test for detection of subgroup treatment effects via data partitioning3
Selective inference for sparse multitask regression with applications in neuroimaging3
Network differential connectivity analysis3
Graph link prediction in computer networks using Poisson matrix factorisation3
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study2
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints2
distinct: A novel approach to differential distribution analyses2
Sequential sampling in prospective observational studies2
Modeling the visibility distribution for respondent-driven sampling with application to population size estimation2
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model2
Estimating global and country-specific excess mortality during the Covid-19 pandemic2
Assessing aquatic toxicity assessment via a clustered variance model2
Poisson–Birnbaum–Saunders regression model for clustered count data2
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects2
Neural networks for extreme quantile regression with an application to forecasting of flood risk2
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects2
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis2
A novel framework to estimate multidimensional minimum effective doses using asymmetric posterior gain and ϵ-tapering2
Modelled approximations to the ideal filter with application to GDP and its components2
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data2
Tensor regression for incomplete observations with application to longitudinal studies2
Utilizing a capture–recapture strategy to accelerate infectious disease surveillance2
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets2
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling2
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide2
Modeling animal movement with directional persistence and attractive points2
A population-aware retrospective regression to detect genome-wide variants with sex difference in allele frequency2
Individualized risk assessment of preoperative opioid use by interpretable neural network regression2
Measuring performance for end-of-life care2
MASH: Mediation analysis of survival outcome and high-dimensional omics mediators with application to complex diseases2
Multiple change point detection in functional data with applications to biomechanical fatigue data2
Continuous and atlas-free analysis of brain structural connectivity2
Control charts for dynamic process monitoring with an application to air pollution surveillance2
Functional concurrent regression with compositional covariates and its application to the time-varying effect of causes of death on human longevity2
Spatial voting models in circular spaces: A case study of the U.S. House of Representatives2
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data2
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology2
Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia2
Weighted biomarker variability in joint analysis of longitudinal and time-to-event data2
Uncertainty quantification of a computer model for binary black hole formation2
Rapid design of metamaterials via multitarget Bayesian optimization2
Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures2
Full Bayesian inference in hidden Markov models of plant growth2
Flexible instrumental variable models with Bayesian additive regression trees2
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains2
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction2
Handling categorical features with many levels using a product partition model2
In-game win probabilities for the National Rugby League2
Semiparametric estimation for dynamic networks with shifted connecting intensities2
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models2
Joint modeling of multistate and nonparametric multivariate longitudinal data2
Dirichlet-tree multinomial mixtures for clustering microbiome compositions2
Learning brain connectivity in social cognition with dynamic network regression2
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis2
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data2
Topological learning for brain networks2
Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement2
Estimating causal effects of HIV prevention interventions with interference in network-based studies among people who inject drugs2
Dynamic prediction of residual life with longitudinal covariates using long short-term memory networks2
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data2
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