Annals of Applied Statistics

Papers
(The median citation count of Annals of Applied Statistics is 1. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support33
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data23
Composite mixture of log-linear models with application to psychiatric studies22
Inferring synergistic and antagonistic interactions in mixtures of exposures21
Multilevel time-series models for small area estimation at different frequencies and domain levels19
Analysing the causal effect of London cycle superhighways on traffic congestion18
ALPHA: Audit that learns from previously hand-audited ballots17
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution17
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel16
Factor-assisted learning of ultrahigh-dimensional covariates with distributed functional and scalar mixtures with applications to the Avon Longitudinal Study of Parents and Children16
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions16
Uncertainty quantification of a computer model for binary black hole formation15
Modeling panels of extremes14
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets14
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis14
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study14
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data14
Graph link prediction in computer networks using Poisson matrix factorisation13
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization12
Control charts for dynamic process monitoring with an application to air pollution surveillance12
Dirichlet-tree multinomial mixtures for clustering microbiome compositions11
DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints11
Sequential Monte Carlo for sampling balanced and compact redistricting plans11
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging10
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome10
Data-driven chimney fire risk prediction using machine learning and point process tools10
On the fair comparison of optimization algorithms in different machines10
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data10
Flexible multivariate spatiotemporal Hawkes process models of terrorism10
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression10
Identifying peer influence in therapeutic communities adjusting for latent homophily10
Marginally calibrated response distributions for end-to-end learning in autonomous driving10
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study9
Disentangling the structure of ecological bipartite networks from observation processes9
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes9
Real-time mechanistic Bayesian forecasts of COVID-19 mortality9
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades9
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design9
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions8
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials8
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis8
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data8
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies8
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks8
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions8
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV8
Tensor quantile regression with low-rank tensor train estimation8
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data8
Continuous-time modelling of behavioural responses in animal movement7
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk7
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial7
ANOPOW for replicated nonstationary time series in experiments7
Generalized theme dictionary models for association pattern discovery7
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers7
Latent level correlation modeling of multivariate discrete-valued financial time series7
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression7
Varying impacts of letters of recommendation on college admissions7
Postelection analysis of presidential election/poll data7
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data7
Clustering and meta-analysis using a mixture of dependent linear tail-free priors7
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models6
Using proxies to improve forecast evaluation6
Endogeneity and moments in time series momentum’s predictability test6
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data6
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression6
Comparing baseball players across eras via novel Full House Modeling6
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity6
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis6
Matrix completion methods for the total electron content video reconstruction6
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry6
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries6
Communication network dynamics in a large organizational hierarchy6
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship6
Readability prediction: How many features are necessary?6
Modelling extremes of spatial aggregates of precipitation using conditional methods6
Pairwise nonlinear dependence analysis of genomic data6
Corrigendum Modeling biomarker ratios with gamma distributed components6
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications6
Multiple imputation of hierarchical nonlinear time series data with an application to school enrollment data6
Assessing treatment effect through compliance score in randomized trials with noncompliance6
Assessing aquatic toxicity assessment via a clustered variance model5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers5
A latent variable approach for modeling relational data with multiple receivers5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage5
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis5
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules5
Estimating Covid-19 transmission time using Hawkes point processes5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.5
Graph-aware modeling of brain connectivity networks5
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes5
Semiparametric estimation for dynamic networks with shifted connecting intensities5
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial5
Pan-disease clustering analysis of the trend of period prevalence5
Nested conformal prediction sets for classification with applications to probation data5
Latent subgroup identification in image-on-scalar regression5
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions5
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints5
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling5
Improved inference on risk measures for univariate extremes5
Contrastive latent variable modeling with application to case-control sequencing experiments5
Design-based inference for spatial experiments under unknown interference5
Temporal network influence model with application to the COVID-19 population flow network5
Distributed subsampling and quasi decorrelated score for cluster data: An application to Beijing multisite air quality5
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile5
Nonparametric causal decomposition of group disparities5
Neural networks for extreme quantile regression with an application to forecasting of flood risk4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles4
Learn then test: Calibrating predictive algorithms to achieve risk control4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation4
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer4
Spatial functional data modeling of plant reflectances4
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data4
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images4
Causal inference for the effect of mobility on COVID-19 deaths4
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models4
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data4
A Bayesian record linkage approach to applications in tree demography using overlapping LiDAR scans4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains4
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data4
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models4
A high-dimensional approach to measure connectivity in the financial sector4
Knockoffs with side information4
Measuring information transfer between nodes in a brain network through spectral transfer entropy4
Network differential connectivity analysis4
Bayesian model selection: Application to the adjustment of fundamental physical constants4
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects4
Flexible instrumental variable models with Bayesian additive regression trees4
Learning common structures in a collection of networks. An application to food webs4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals4
Modeling animal movement with directional persistence and attractive points4
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling4
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation4
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data4
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold4
Multimodel ensemble analysis with neural network Gaussian processes4
Joint stochastic simulation of extreme coastal and offshore significant wave heights4
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition4
Tensor regression for incomplete observations with application to longitudinal studies4
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data3
Analysis of presence-only data via exact Bayes, with model and effects identification3
A spatial autoregressive random forest algorithm for small-area spatial prediction3
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data3
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks3
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance3
Functional factor modeling of brain connectivity3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data3
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study3
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data3
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation3
Statistical curve models for inferring 3D chromatin architecture3
Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms3
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak3
Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population3
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity3
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome3
Bayesian learning of clinically meaningful sepsis phenotypes in northern Tanzania3
Bivariate hierarchical Bayesian model for combining summary measures and their uncertainties from multiple sources3
Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study3
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio3
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league3
A Riemann manifold model framework for longitudinal changes in physical activity patterns3
Sparse block signal detection and identification for shared cross-trait association analysis3
What makes forest-based heterogeneous treatment effect estimators work?3
Markov random field models for vector-based representations of landscapes3
Is the price cap for gas useful? Evidence from European countries3
A Bayesian accelerated failure time model for interval censored three-state screening outcomes3
Doubly-online changepoint detection for monitoring health status during sports activities3
Network-based modeling of emotional expressions for multiple cancers via a linguistic analysis of an online health community3
Network-level traffic flow prediction: Functional time series vs. functional neural network approach3
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta3
Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency3
A Bayesian hierarchical model for combining multiple data sources in population size estimation3
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis3
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure3
A functional-data approach to the Argo data3
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring3
Ice model calibration using semicontinuous spatial data3
Manifold valued data analysis of samples of networks, with applications in corpus linguistics2
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis2
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh2
Pseudo-likelihood ratio screening based on network data with applications2
Nonnegative tensor completion for dynamic counterfactual prediction on COVID-19 pandemic2
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial2
Imputation scores2
Conex–Connect: Learning patterns in extremal brain connectivity from MultiChannel EEG data2
Modelled approximations to the ideal filter with application to GDP and its components2
Detecting and modeling changes in a time series of proportions2
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA2
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness2
Mediation analysis for associations of categorical variables: The role of education in social class mobility in Britain2
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation2
Balancing weights for region-level analysis: The effect of Medicaid expansion on the uninsurance rate among states that did not expand Medicaid2
Bayesian Cox regression for large-scale inference with applications to electronic health records2
Estimating the likelihood of arrest from police records in presence of unreported crimes2
Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation2
Support vector machine for dynamic survival prediction with time-dependent covariates2
A deep neural network two-part model and feature importance test for semicontinuous data2
Binned multinomial logistic regression for integrative cell-type annotation2
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics2
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data2
Hierarchical Bayesian modeling of ocean heat content and its uncertainty2
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography2
A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants2
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration2
Land-use filtering for nonstationary spatial prediction of collective efficacy in an urban environment2
Incorporating auxiliary information for improved statistical inference and its extensions to distributed algorithms with an application to personal credit2
Clustering on the torus by conformal prediction2
Flexible Bayesian spatial modeling for unknown missing data mechanism in survey analysis: An application to the Chinese general society survey2
A framework for covariate-specific ROC curve estimation, with application to biometric recognition2
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data2
Bayesian model-based clustering for populations of network data2
Quantile regression with a one-sided misclassified binary regressor2
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography2
Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon health insurance experiment2
A population-aware retrospective regression to detect genome-wide variants with sex difference in allele frequency2
A semiparametric promotion time cure model with support vector machine2
Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship2
Estimating global and country-specific excess mortality during the Covid-19 pandemic2
Analyzing environmental bioassays with spatial odds, risk, and survival probability ratio regressions2
Integrative ecological regression analysis of U.S. county and state level COVID-19 death data for studying health disparity associations2
Averaged Prediction Models (APM): Identifying causal effects in controlled pre-post settings with application to gun policy2
Subgroup identification and variable selection for treatment decision making2
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology2
Modeling trajectories using functional linear differential equations2
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data2
Dynamic risk prediction for cervical precancer screening with continuous and binary longitudinal biomarkers2
Inferring changes to the global carbon cycle with WOMBAT v2.0, a hierarchical flux-inversion framework2
Higher criticism for discriminating word-frequency tables and authorship attribution2
Bayesian data augmentation for recurrent events under intermittent assessment in overlapping intervals with applications to EMR data2
Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns2
Continuous and atlas-free analysis of brain structural connectivity2
Full Bayesian inference in hidden Markov models of plant growth2
Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia2
Bayesian hierarchical modelling of sparse count processes in retail analytics2
Large-scale multivariate sparse regression with applications to UK Biobank2
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework2
Signal-noise ratio of genetic associations and statistical power of SNP-set tests2
The causal effect of a timeout at stopping an opposing run in the NBA2
Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment2
Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys2
Heterogeneous treatment and spillover effects under clustered network interference2
Robust sensible adversarial learning of deep neural networks for image classification2
Permutation tests under a rotating sampling plan with clustered data2
Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement2
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data2
Overlap violations in external validity: Application to Ugandan cash transfer programs2
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