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 2021-07-01 to 2025-07-01.)
ArticleCitations
Composite mixture of log-linear models with application to psychiatric studies30
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support29
Inferring synergistic and antagonistic interactions in mixtures of exposures28
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data21
ALPHA: Audit that learns from previously hand-audited ballots19
Multilevel time-series models for small area estimation at different frequencies and domain levels18
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution18
Analysing the causal effect of London cycle superhighways on traffic congestion17
Uncertainty quantification of a computer model for binary black hole formation15
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions15
Graph link prediction in computer networks using Poisson matrix factorisation15
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel15
Modeling panels of extremes14
Control charts for dynamic process monitoring with an application to air pollution surveillance14
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study13
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data13
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets13
Dirichlet-tree multinomial mixtures for clustering microbiome compositions13
Sequential Monte Carlo for sampling balanced and compact redistricting plans13
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization13
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis13
Marginally calibrated response distributions for end-to-end learning in autonomous driving12
On the fair comparison of optimization algorithms in different machines11
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions11
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies10
Flexible multivariate spatiotemporal Hawkes process models of terrorism10
DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints10
Unsupervised streaming anomaly detection for instrumented infrastructure10
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions9
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data9
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study9
Identifying peer influence in therapeutic communities adjusting for latent homophily9
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data9
Partial-mastery cognitive diagnosis models9
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV9
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome9
Disentangling the structure of ecological bipartite networks from observation processes8
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades8
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes8
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model8
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression8
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design8
Tensor quantile regression with low-rank tensor train estimation7
Latent level correlation modeling of multivariate discrete-valued financial time series7
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks7
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data7
Real-time mechanistic Bayesian forecasts of COVID-19 mortality7
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression7
ANOPOW for replicated nonstationary time series in experiments7
Data-driven chimney fire risk prediction using machine learning and point process tools7
Continuous-time modelling of behavioural responses in animal movement7
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis7
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data7
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging7
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials7
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial6
Generalized theme dictionary models for association pattern discovery6
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry6
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models6
Readability prediction: How many features are necessary?6
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity6
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers6
Postelection analysis of presidential election/poll data6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis6
Pairwise nonlinear dependence analysis of genomic data6
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications6
Modelling extremes of spatial aggregates of precipitation using conditional methods6
Matrix completion methods for the total electron content video reconstruction6
Varying impacts of letters of recommendation on college admissions6
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk6
Endogeneity and moments in time series momentum’s predictability test6
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error6
Corrigendum Modeling biomarker ratios with gamma distributed components6
Latent subgroup identification in image-on-scalar regression5
A latent variable approach for modeling relational data with multiple receivers5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.5
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries5
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data5
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship5
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage5
Contrastive latent variable modeling with application to case-control sequencing experiments5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers5
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial5
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression5
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules5
Comparing baseball players across eras via novel Full House Modeling5
Design-based inference for spatial experiments under unknown interference5
Pan-disease clustering analysis of the trend of period prevalence5
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions5
Assessing treatment effect through compliance score in randomized trials with noncompliance5
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis5
Communication network dynamics in a large organizational hierarchy5
Using proxies to improve forecast evaluation5
Estimating Covid-19 transmission time using Hawkes point processes4
Nested conformal prediction sets for classification with applications to probation data4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals4
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects4
Joint stochastic simulation of extreme coastal and offshore significant wave heights4
Causal inference for the effect of mobility on COVID-19 deaths4
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data4
Bayesian model selection: Application to the adjustment of fundamental physical constants4
Nonparametric causal decomposition of group disparities4
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling4
Improved inference on risk measures for univariate extremes4
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold4
Bayesian joint modeling of chemical structure and dose response curves4
Spatial functional data modeling of plant reflectances4
Learning common structures in a collection of networks. An application to food webs4
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images4
Tensor regression for incomplete observations with application to longitudinal studies4
Neural networks for extreme quantile regression with an application to forecasting of flood risk4
Flexible instrumental variable models with Bayesian additive regression trees4
Graph-aware modeling of brain connectivity networks4
Semiparametric estimation for dynamic networks with shifted connecting intensities4
Temporal network influence model with application to the COVID-19 population flow network4
Assessing aquatic toxicity assessment via a clustered variance model4
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models4
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains4
Knockoffs with side information4
Network differential connectivity analysis4
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects4
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile4
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints4
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure3
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity3
Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency3
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome3
Sparse block signal detection and identification for shared cross-trait association analysis3
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data3
A Riemann manifold model framework for longitudinal changes in physical activity patterns3
Modeling animal movement with directional persistence and attractive points3
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study3
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data3
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak3
A high-dimensional approach to measure connectivity in the financial sector3
What makes forest-based heterogeneous treatment effect estimators work?3
Network-level traffic flow prediction: Functional time series vs. functional neural network approach3
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data3
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation3
A functional-data approach to the Argo data3
Ice model calibration using semicontinuous spatial data3
Statistical curve models for inferring 3D chromatin architecture3
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer3
Functional factor modeling of brain connectivity3
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models3
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation3
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data3
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery3
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation3
Analysis of presence-only data via exact Bayes, with model and effects identification3
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
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data3
Markov random field models for vector-based representations of landscapes3
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring3
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio3
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis3
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta3
Learn then test: Calibrating predictive algorithms to achieve risk control3
Multimodel ensemble analysis with neural network Gaussian processes3
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling3
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction2
Full Bayesian inference in hidden Markov models of plant growth2
Clustering on the torus by conformal prediction2
Hierarchical Bayesian modeling of ocean heat content and its uncertainty2
Athlete rating in multicompetitor games with scored outcomes via monotone transformations2
Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation2
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial2
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
Predictive inference for travel time on transportation networks2
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh2
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography2
Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship2
Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia2
Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys2
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics2
Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population2
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions2
Doubly-online changepoint detection for monitoring health status during sports activities2
The causal effect of a timeout at stopping an opposing run in the NBA2
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys2
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography2
Modeling trajectories using functional linear differential equations2
A framework for covariate-specific ROC curve estimation, with application to biometric recognition2
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data2
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration2
Manifold valued data analysis of samples of networks, with applications in corpus linguistics2
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data2
Modelled approximations to the ideal filter with application to GDP and its components2
Analyzing environmental bioassays with spatial odds, risk, and survival probability ratio regressions2
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis2
Binned multinomial logistic regression for integrative cell-type annotation2
Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures2
Qini-based uplift regression2
Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement2
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies2
Designing experiments for estimating an appropriate outlet size for a silo type problem2
Is the price cap for gas useful? Evidence from European countries2
Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data2
A Bayesian hierarchical model for combining multiple data sources in population size estimation2
A spatial autoregressive random forest algorithm for small-area spatial prediction2
Higher criticism for discriminating word-frequency tables and authorship attribution2
Nonnegative tensor completion for dynamic counterfactual prediction on COVID-19 pandemic2
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation2
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data2
Has the Covid-19 outbreak capsized the predictive performance of Bayesian VAR models with cointegration and time-varying volatility?2
Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model2
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA2
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework2
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology2
Continuous and atlas-free analysis of brain structural connectivity2
A deep neural network two-part model and feature importance test for semicontinuous data2
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging2
Subgroup identification and variable selection for treatment decision making2
A population-aware retrospective regression to detect genome-wide variants with sex difference in allele frequency2
Permutation tests under a rotating sampling plan with clustered data2
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness2
A Bayesian accelerated failure time model for interval censored three-state screening outcomes2
Bayesian multiple instance classification based on hierarchical probit regression2
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data2
Bayesian Cox regression for large-scale inference with applications to electronic health records2
Robust sensible adversarial learning of deep neural networks for image classification2
A new design for observational studies applied to the study of the effects of high school football on cognition late in life1
Scalable multiple network inference with the joint graphical horseshoe1
Statistical inference for regression with imputed binary covariates with application to emotion recognition1
A semiparametric method for risk prediction using integrated electronic health record data1
Hospital quality risk standardization via approximate balancing weights1
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification1
Bayesian modeling of insurance claims for hail damage1
Additive density-on-scalar regression in Bayes Hilbert spaces with an application to gender economics1
Generalized fiducial factor: An alternative to the Bayes factor for forensic identification of source problems1
Filtrated common functional principal component analysis of multigroup functional data1
Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection1
Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences1
The short-term dynamics of conflict-driven displacement: Bayesian modeling of disaggregated data from Somalia1
Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada1
EDITORIAL: Statistical significance, P-values, and replicability1
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey1
Functional random effects modeling of brain shape and connectivity1
VCSEL: Prioritizing SNP-set by penalized variance component selection1
A behavioral approach to repeated Bayesian security games1
Kullback-Leibler-based discrete failure time models for integration of published prediction models with new time-to-event dataset1
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