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 2022-06-01 to 2026-06-01.)
ArticleCitations
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support42
Composite mixture of log-linear models with application to psychiatric studies34
Factor-assisted learning of ultrahigh-dimensional covariates with distributed functional and scalar mixtures with applications to the Avon Longitudinal Study of Parents and Children30
Multilevel time-series models for small area estimation at different frequencies and domain levels27
ALPHA: Audit that learns from previously hand-audited ballots26
Inferring synergistic and antagonistic interactions in mixtures of exposures25
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution24
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data23
Graph link prediction in computer networks using Poisson matrix factorisation23
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions23
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization23
Modeling panels of extremes22
Dirichlet-tree multinomial mixtures for clustering microbiome compositions20
Control charts for dynamic process monitoring with an application to air pollution surveillance19
Latent space modeling for human disease network with temporal variations: Analysis of medicare data18
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets18
Sequential Monte Carlo for sampling balanced and compact redistricting plans18
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study17
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging14
On the fair comparison of optimization algorithms in different machines14
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study13
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades13
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes13
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies13
Disentangling the structure of ecological bipartite networks from observation processes13
Data-driven chimney fire risk prediction using machine learning and point process tools12
Identifying peer influence in therapeutic communities adjusting for latent homophily12
A data envelopment analysis approach for assessing fairness in resource allocation: Application to kidney exchange programs12
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data12
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design12
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data12
Marginally calibrated response distributions for end-to-end learning in autonomous driving12
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome11
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials11
Flexible multivariate spatiotemporal Hawkes process models of terrorism10
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions10
Probabilistic inversion modeling of gas emissions: A gradient-based MCMC estimation of Gaussian plume parameters10
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions10
Real-time mechanistic Bayesian forecasts of COVID-19 mortality10
DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints10
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression10
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data10
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV10
Bayesian image-on-image regression via deep kernel learning based Gaussian processes9
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data9
Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors9
Tensor quantile regression with low-rank tensor train estimation9
Varying impacts of letters of recommendation on college admissions9
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial9
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers9
Integrative learning of linear non-Gaussian directed acyclic graphs with application on multisource gene regulatory network analysis9
ANOPOW for replicated nonstationary time series in experiments9
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression9
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis8
Simple macroeconomic forecast distributions for the G7 economies8
Continuous-time modelling of behavioural responses in animal movement8
Clustering and meta-analysis using a mixture of dependent linear tail-free priors8
Latent level correlation modeling of multivariate discrete-valued financial time series8
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks8
Generalized theme dictionary models for association pattern discovery7
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error7
Corrigendum Modeling biomarker ratios with gamma distributed components7
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications7
Supervised learning of outcome-relevant items from a questionnaire via mixed integer optimization7
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression7
Pairwise nonlinear dependence analysis of genomic data7
Endogeneity and moments in time series momentum’s predictability test7
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk7
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry7
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity7
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship7
Communication network dynamics in a large organizational hierarchy7
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries7
Ranking and selection in large-scale inference of heteroscedastic units7
Matrix completion methods for the total electron content video reconstruction7
Postelection analysis of presidential election/poll data7
Using proxies to improve forecast evaluation7
Exploring spatiotemporal variation in Covid-19 waves: Non-Euclidean spatially aware functional registration7
Readability prediction: How many features are necessary?7
Multiple imputation of hierarchical nonlinear time series data with an application to school enrollment data7
Comparing baseball players across eras via novel Full House Modeling7
Modelling extremes of spatial aggregates of precipitation using conditional methods7
Model-free inference for characterizing protein mutations through a coevolutionary lens6
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data6
Design-based inference for spatial experiments under unknown interference6
A latent variable approach for modeling relational data with multiple receivers6
Neural posterior estimation with autoregressive tiling for detecting objects in astronomical images6
Assessing treatment effect through compliance score in randomized trials with noncompliance6
Estimating Covid-19 transmission time using Hawkes point processes6
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis6
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial6
Temporal network influence model with application to the COVID-19 population flow network6
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions6
Individual dynamic prediction for cure and survival based on longitudinal biomarkers6
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage6
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile6
Distributed subsampling and quasi decorrelated score for cluster data: An application to Beijing multisite air quality6
Nonparametric causal decomposition of group disparities6
Nested conformal prediction sets for classification with applications to probation data6
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules6
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes6
Contrastive latent variable modeling with application to case-control sequencing experiments6
Latent subgroup identification in image-on-scalar regression6
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling6
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images5
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects5
Tensor regression for incomplete observations with application to longitudinal studies5
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold5
Joint stochastic simulation of extreme coastal and offshore significant wave heights5
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data5
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition5
Network differential connectivity analysis5
Flexible instrumental variable models with Bayesian additive regression trees5
Graph-aware modeling of brain connectivity networks5
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects5
Learning common structures in a collection of networks. An application to food webs5
Causal inference for the effect of mobility on COVID-19 deaths5
A Bayesian record linkage approach to applications in tree demography using overlapping LiDAR scans5
Semiparametric estimation for dynamic networks with shifted connecting intensities5
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models5
Bayesian model selection: Application to the adjustment of fundamental physical constants5
Knockoffs with side information5
Neural networks for extreme quantile regression with an application to forecasting of flood risk5
Improved inference on risk measures for univariate extremes5
Heaping and seeping, GAITD regression and doubly constrained reduced-rank vector generalized linear models in smoking studies5
Assessing aquatic toxicity assessment via a clustered variance model5
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints5
Is the price cap for gas useful? Evidence from European countries4
Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains4
Bivariate hierarchical Bayesian model for combining summary measures and their uncertainties from multiple sources4
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling4
Ice model calibration using semicontinuous spatial data4
Sparse block signal detection and identification for shared cross-trait association analysis4
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data4
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring4
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis4
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data4
Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms4
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery4
Modeling animal movement with directional persistence and attractive points4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data4
Functional factor modeling of brain connectivity4
A spatial autoregressive random forest algorithm for small-area spatial prediction4
Doubly-online changepoint detection for monitoring health status during sports activities4
Random forests and mixed effects random forests for small area estimation of general parameters: A poverty mapping case study in Mozambique4
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks4
Learn then test: Calibrating predictive algorithms to achieve risk control4
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome4
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study4
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta4
A high-dimensional approach to measure connectivity in the financial sector4
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio4
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer4
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data4
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare4
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data4
Bayesian learning of clinically meaningful sepsis phenotypes in northern Tanzania4
Network-based modeling of emotional expressions for multiple cancers via a linguistic analysis of an online health community4
A Bayesian hierarchical model for combining multiple data sources in population size estimation4
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance4
Multimodel ensemble analysis with neural network Gaussian processes4
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation4
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure4
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league4
Spatial functional data modeling of plant reflectances4
A Riemann manifold model framework for longitudinal changes in physical activity patterns4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals4
Statistical curve models for inferring 3D chromatin architecture4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation4
What makes forest-based heterogeneous treatment effect estimators work?4
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation4
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak4
Measuring information transfer between nodes in a brain network through spectral transfer entropy4
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data3
Bridging the gap: Enhancing the generalizability of epigenetic clocks through transfer learning3
Modelled approximations to the ideal filter with application to GDP and its components3
Bayesian multiple instance classification based on hierarchical probit regression3
Averaged Prediction Models (APM): Identifying causal effects in controlled pre-post settings with application to gun policy3
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration3
Bootstrapping the cross-validation estimate3
Estimating life expectancy in the Canadian elderly population with dementia using prevalent cohort survival data3
Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship3
Designing experiments for estimating an appropriate outlet size for a silo type problem3
Varying coefficients correlated velocity models in complex landscapes with boundaries applied to narwhal responses to noise exposure3
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography3
Analysis of presence-only data via exact Bayes, with model and effects identification3
Joint modeling for learning decision-making dynamics in behavioral experiments3
Permutation tests under a rotating sampling plan with clustered data3
The causal effect of a timeout at stopping an opposing run in the NBA3
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness3
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial3
Analyzing environmental bioassays with spatial odds, risk, and survival probability ratio regressions3
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh3
Modeling trajectories using functional linear differential equations3
Temporal models for estimation and short-term forecasting of neonatal mortality rates in sub-Saharan Africa3
Tomographic reconstruction of disease transmission landscapes from GPS-recorded random paths3
Has the Covid-19 outbreak capsized the predictive performance of Bayesian VAR models with cointegration and time-varying volatility?3
Binned multinomial logistic regression for integrative cell-type annotation3
Predictive inference for travel time on transportation networks3
Bayesian Cox regression for large-scale inference with applications to electronic health records3
Media bias and polarization through the lens of a Markov switching latent space network model3
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies3
Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity3
Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation3
Higher criticism for discriminating word-frequency tables and authorship attribution3
A population-aware retrospective regression to detect genome-wide variants with sex difference in allele frequency3
Robust sensible adversarial learning of deep neural networks for image classification3
A deep neural network two-part model and feature importance test for semicontinuous data3
Athlete rating in multicompetitor games with scored outcomes via monotone transformations3
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation3
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA3
Dynamic prediction with penalized joint frailty model of high-dimensional recurrent event data and a survival outcome3
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions3
A Bayesian accelerated failure time model for interval censored three-state screening outcomes3
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data3
Network-level traffic flow prediction: Functional time series vs. functional neural network approach3
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data3
Online sequential leveraging sampling method for streaming autoregressive time series with application to seismic data2
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event2
Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks2
Bayesian combinatorial MultiStudy factor analysis2
Analyzing animal escape data with circular nonparametric multimodal regression2
Mixed-frequency extreme value regression: Estimating the effect of mesoscale convective systems on extreme rainfall intensity2
Global-local Dirichlet processes for identifying pan-cancer subpopulations using both shared and cancer-specific data2
Surrogate selection oversamples expanded T cell clonotypes2
Balancing weights for region-level analysis: The effect of Medicaid expansion on the uninsurance rate among states that did not expand Medicaid2
Fast variable selection for distributional regression with application to continuous glucose monitoring data2
A semiparametric promotion time cure model with support vector machine2
Asymmetric tail dependence modeling, with application to cryptocurrency market data2
Feature augmentations for high-dimensional learning: Applications to stock market prediction using Chinese news data2
A Pólya Tree modelling framework for batch-mark data2
Data harmonization via regularized nonparametric mixing distribution estimation2
Correction to: Spatiotemporal wildfire modeling through point processes with moderate and extreme marks2
Estimating global and country-specific excess mortality during the Covid-19 pandemic2
A rotation-based feature and Bayesian hierarchical model for the forensic evaluation of handwriting evidence in a closed set2
Bayesian joint modeling of high-dimensional discrete multivariate longitudinal data using generalized linear mixed models2
A Bayesian approach to GRAPPA parallel fMRI image reconstruction increases SNR and power of task detection2
An accumulation method for early fault warning and its application to wind turbine systems2
Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference2
Functional mixture regression control chart2
The assessment of replication success based on relative effect size2
Tree-regularized Bayesian latent class analysis for improving weakly separated dietary pattern subtyping in small-sized subpopulations2
Robust joint modelling of left-censored longitudinal data and survival data with application to HIV vaccine studies2
Implicit generative prior for Bayesian neural networks2
Model-based distance embedding with applications to chromosomal conformation biology2
Selecting subpopulations for causal inference in regression discontinuity designs2
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