Annals of Applied Statistics

Papers
(The TQCC of Annals of Applied Statistics is 3. 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 2021-03-01 to 2025-03-01.)
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
VCSEL: Prioritizing SNP-set by penalized variance component selection20
Assessing treatment effect through compliance score in randomized trials with noncompliance16
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes16
Designing experiments for estimating an appropriate outlet size for a silo type problem15
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules15
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data15
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support13
Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data13
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis12
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV12
Accounting for smoking in forecasting mortality and life expectancy11
Bayesian multiple instance classification based on hierarchical probit regression11
Robust causal inference for incremental return on ad spend with randomized paired geo experiments11
Discovering interactions using covariate informed random partition models11
Causal mediation analysis for sparse and irregular longitudinal data11
Multilevel time-series models for small area estimation at different frequencies and domain levels11
A bridging model to reconcile statistics based on data from multiple surveys11
A behavioral approach to repeated Bayesian security games11
Latent subgroup identification in image-on-scalar regression10
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA10
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data10
Predictive inference for travel time on transportation networks9
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing9
A compositional model to assess expression changes from single-cell RNA-seq data9
Estimating Covid-19 transmission time using Hawkes point processes9
Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains9
Bayesian modeling of insurance claims for hail damage8
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions8
Composite mixture of log-linear models with application to psychiatric studies8
Clustering on the torus by conformal prediction8
Robust sensible adversarial learning of deep neural networks for image classification8
Inferring food intake from multiple biomarkers using a latent variable model7
Point process modeling of drug overdoses with heterogeneous and missing data7
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration7
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic7
Hospital quality risk standardization via approximate balancing weights7
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography7
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh7
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes7
ALPHA: Audit that learns from previously hand-audited ballots6
Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data6
Spatiotemporal satellite data imputation using sparse functional data analysis6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling6
Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach6
Athlete rating in multicompetitor games with scored outcomes via monotone transformations6
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial6
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage6
Retrospective varying coefficient association analysis of longitudinal binary traits: Application to the identification of genetic loci associated with hypertension6
Identification of influencing factors on self-reported count data with multiple potential inflated values6
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial6
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts6
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution6
Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada5
Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data5
Surrogate method for partial association between mixed data with application to well-being survey analysis5
Modeling curves and derivatives as predictors for traffic breakdown probabilities5
Tensor-variate finite mixture modeling for the analysis of university professor remuneration5
Extended stochastic block models with application to criminal networks5
Pan-disease clustering analysis of the trend of period prevalence5
Structured hierarchical models for probabilistic inference from perturbation screening data5
Multiple latent clustering model for the inference of RNA life-cycle kinetic rates from sequencing data5
Analysing the causal effect of London cycle superhighways on traffic congestion5
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data5
Multiscale Poisson process approaches for detecting and estimating differences from high-throughput sequencing assays5
Generative machine learning methods for multivariate ensemble postprocessing5
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 groups5
Knockoffs with side information5
Nested conformal prediction sets for classification with applications to probation data5
Spatio-temporal analysis of dependent risk with an application to cyberattacks data5
Higher criticism for discriminating word-frequency tables and authorship attribution5
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records5
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball5
A flexible model for correlated count data, with application to multicondition differential expression analyses of single-cell RNA sequencing data5
A latent variable approach for modeling relational data with multiple receivers5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers5
Contrastive latent variable modeling with application to case-control sequencing experiments5
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics5
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography4
Causal inference for the effect of mobility on COVID-19 deaths4
Social order statistics models for ranking data with analysis of preferences in social networks4
In-game win probabilities for the National Rugby League4
Dirichlet-tree multinomial mixtures for clustering microbiome compositions4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles4
Two-way sparsity for time-varying networks with applications in genomics4
An omnibus test for detection of subgroup treatment effects via data partitioning4
Multistate capture–recapture models for irregularly sampled data4
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile4
Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome4
Spatial voting models in circular spaces: A case study of the U.S. House of Representatives4
Bayesian functional registration of fMRI activation maps4
Two-stage circular-circular regression with zero inflation: Application to medical sciences4
Prediction of hereditary cancers using neural networks4
Estimating causal effects of HIV prevention interventions with interference in network-based studies among people who inject drugs4
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size4
Fitting stochastic epidemic models to gene genealogies using linear noise approximation4
Graph link prediction in computer networks using Poisson matrix factorisation4
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization4
Estimating the effects of a California gun control program with multitask Gaussian processes4
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study4
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data4
Bayesian semiparametric long memory models for discretized event data3
Continuous and atlas-free analysis of brain structural connectivity3
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data3
A novel framework to estimate multidimensional minimum effective doses using asymmetric posterior gain and ϵ-tapering3
Applied regression analysis of correlations for correlated data3
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness3
Bayesian projections of total fertility rate conditional on the United Nations sustainable development goals3
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold3
A simple and flexible test of sample exchangeability with applications to statistical genomics3
Late 19th century navigational uncertainties and their influence on sea surface temperature estimates3
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis3
Probabilistic forecasting of the Arctic sea ice edge with contour modeling3
Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data3
Bayesian bi-clustering methods with applications in computational biology3
Hierarchical Bayesian modeling of ocean heat content and its uncertainty3
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth3
Dimensions, power and factors in an observational study of behavioral problems after physical abuse of children3
Joint modeling of multistate and nonparametric multivariate longitudinal data3
Selective inference for sparse multitask regression with applications in neuroimaging3
Preelectoral polls variability: A hierarchical Bayesian model to assess the role of house effects with application to Italian elections3
The Bayesian nested lasso for mixed frequency regression models3
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging3
Estimating mode effects from a sequential mixed-mode experiment using structural moment models3
A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data3
Network differential connectivity analysis3
Graph-aware modeling of brain connectivity networks3
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data3
Assessing aquatic toxicity assessment via a clustered variance model3
Weighted biomarker variability in joint analysis of longitudinal and time-to-event data3
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction3
A novel estimator of Earth’s curvature (Allowing for inference as well)3
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology3
Sequentially valid tests for forecast calibration3
Improved inference on risk measures for univariate extremes3
Sequential Monte Carlo for sampling balanced and compact redistricting plans3
Joint stochastic simulation of extreme coastal and offshore significant wave heights3
Bayesian model selection: Application to the adjustment of fundamental physical constants3
Modeling panels of extremes3
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data3
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation3
0.72159194946289