Annals of Applied Statistics

Article	Citations
Composite mixture of log-linear models with application to psychiatric studies	30
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support	29
Inferring synergistic and antagonistic interactions in mixtures of exposures	28
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data	21
ALPHA: Audit that learns from previously hand-audited ballots	19
Multilevel time-series models for small area estimation at different frequencies and domain levels	18
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution	18
Analysing the causal effect of London cycle superhighways on traffic congestion	17
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions	15
Graph link prediction in computer networks using Poisson matrix factorisation	15
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel	15
Uncertainty quantification of a computer model for binary black hole formation	15
Control charts for dynamic process monitoring with an application to air pollution surveillance	14
Modeling panels of extremes	14
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data	13
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets	13
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	13
Sequential Monte Carlo for sampling balanced and compact redistricting plans	13
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization	13
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis	13
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study	13
Marginally calibrated response distributions for end-to-end learning in autonomous driving	12
On the fair comparison of optimization algorithms in different machines	11
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions	11
Flexible multivariate spatiotemporal Hawkes process models of terrorism	10

DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints	10
Unsupervised streaming anomaly detection for instrumented infrastructure	10
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies	10
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study	9
Identifying peer influence in therapeutic communities adjusting for latent homophily	9
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	9
Partial-mastery cognitive diagnosis models	9
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV	9
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome	9
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions	9
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data	9
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes	8
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model	8
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression	8
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design	8
Disentangling the structure of ecological bipartite networks from observation processes	8
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades	8
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data	7
Real-time mechanistic Bayesian forecasts of COVID-19 mortality	7
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression	7
ANOPOW for replicated nonstationary time series in experiments	7
Data-driven chimney fire risk prediction using machine learning and point process tools	7
Continuous-time modelling of behavioural responses in animal movement	7
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis	7
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data	7
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging	7
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials	7
Tensor quantile regression with low-rank tensor train estimation	7
Latent level correlation modeling of multivariate discrete-valued financial time series	7
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks	7
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity	6
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers	6
Postelection analysis of presidential election/poll data	6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis	6
Pairwise nonlinear dependence analysis of genomic data	6
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications	6
Modelling extremes of spatial aggregates of precipitation using conditional methods	6
Matrix completion methods for the total electron content video reconstruction	6
Varying impacts of letters of recommendation on college admissions	6
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk	6
Endogeneity and moments in time series momentum’s predictability test	6
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error	6
Corrigendum Modeling biomarker ratios with gamma distributed components	6
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial	6
Generalized theme dictionary models for association pattern discovery	6
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry	6
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models	6
Readability prediction: How many features are necessary?	6
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data	5
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes	5

Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression	5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	5
Comparing baseball players across eras via novel Full House Modeling	5
Contrastive latent variable modeling with application to case-control sequencing experiments	5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers	5
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial	5
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules	5
Assessing treatment effect through compliance score in randomized trials with noncompliance	5
Design-based inference for spatial experiments under unknown interference	5
Communication network dynamics in a large organizational hierarchy	5
Pan-disease clustering analysis of the trend of period prevalence	5
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions	5
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	5
Using proxies to improve forecast evaluation	5
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries	5
Latent subgroup identification in image-on-scalar regression	5
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship	5
A latent variable approach for modeling relational data with multiple receivers	5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.	5
Learning common structures in a collection of networks. An application to food webs	4
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images	4
Neural networks for extreme quantile regression with an application to forecasting of flood risk	4
Tensor regression for incomplete observations with application to longitudinal studies	4
Flexible instrumental variable models with Bayesian additive regression trees	4
Graph-aware modeling of brain connectivity networks	4
Semiparametric estimation for dynamic networks with shifted connecting intensities	4
Temporal network influence model with application to the COVID-19 population flow network	4
Assessing aquatic toxicity assessment via a clustered variance model	4
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models	4
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition	4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains	4
Knockoffs with side information	4
Network differential connectivity analysis	4
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects	4
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile	4
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints	4
Estimating Covid-19 transmission time using Hawkes point processes	4
Nested conformal prediction sets for classification with applications to probation data	4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles	4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data	4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals	4
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects	4
Joint stochastic simulation of extreme coastal and offshore significant wave heights	4
Causal inference for the effect of mobility on COVID-19 deaths	4
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data	4
Bayesian model selection: Application to the adjustment of fundamental physical constants	4
Nonparametric causal decomposition of group disparities	4
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	4
Improved inference on risk measures for univariate extremes	4
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold	4
Bayesian joint modeling of chemical structure and dose response curves	4
Spatial functional data modeling of plant reflectances	4
Ice model calibration using semicontinuous spatial data	3
Statistical curve models for inferring 3D chromatin architecture	3
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer	3
Functional factor modeling of brain connectivity	3
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	3
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation	3
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data	3
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery	3
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation	3
Analysis of presence-only data via exact Bayes, with model and effects identification	3
Bivariate hierarchical Bayesian model for combining summary measures and their uncertainties from multiple sources	3
Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study	3
Markov random field models for vector-based representations of landscapes	3
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data	3
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	3
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio	3
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis	3
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta	3
Learn then test: Calibrating predictive algorithms to achieve risk control	3
Multimodel ensemble analysis with neural network Gaussian processes	3
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling	3
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure	3
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity	3
Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency	3
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome	3
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league	3
Sparse block signal detection and identification for shared cross-trait association analysis	3

Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data	3
A Riemann manifold model framework for longitudinal changes in physical activity patterns	3
Modeling animal movement with directional persistence and attractive points	3
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study	3
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	3
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak	3
A high-dimensional approach to measure connectivity in the financial sector	3
What makes forest-based heterogeneous treatment effect estimators work?	3
Network-level traffic flow prediction: Functional time series vs. functional neural network approach	3
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance	3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data	3
A functional-data approach to the Argo data	3
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	3
Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys	2
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics	2
Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population	2
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions	2
Doubly-online changepoint detection for monitoring health status during sports activities	2
The causal effect of a timeout at stopping an opposing run in the NBA	2
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys	2
Modeling trajectories using functional linear differential equations	2
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography	2
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data	2
A framework for covariate-specific ROC curve estimation, with application to biometric recognition	2
Manifold valued data analysis of samples of networks, with applications in corpus linguistics	2
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data	2
Has the Covid-19 outbreak capsized the predictive performance of Bayesian VAR models with cointegration and time-varying volatility?	2
Analyzing environmental bioassays with spatial odds, risk, and survival probability ratio regressions	2
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis	2
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA	2
Binned multinomial logistic regression for integrative cell-type annotation	2
Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures	2
Continuous and atlas-free analysis of brain structural connectivity	2
Qini-based uplift regression	2
Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement	2
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies	2
Designing experiments for estimating an appropriate outlet size for a silo type problem	2
Is the price cap for gas useful? Evidence from European countries	2
Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data	2
A Bayesian hierarchical model for combining multiple data sources in population size estimation	2
A spatial autoregressive random forest algorithm for small-area spatial prediction	2
Higher criticism for discriminating word-frequency tables and authorship attribution	2
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation	2
Nonnegative tensor completion for dynamic counterfactual prediction on COVID-19 pandemic	2
Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model	2
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data	2
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework	2
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology	2
Athlete rating in multicompetitor games with scored outcomes via monotone transformations	2
A deep neural network two-part model and feature importance test for semicontinuous data	2
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging	2
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial	2
Subgroup identification and variable selection for treatment decision making	2
A population-aware retrospective regression to detect genome-wide variants with sex difference in allele frequency	2
Predictive inference for travel time on transportation networks	2
Permutation tests under a rotating sampling plan with clustered data	2
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness	2
A Bayesian accelerated failure time model for interval censored three-state screening outcomes	2
Bayesian multiple instance classification based on hierarchical probit regression	2
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data	2
Bayesian Cox regression for large-scale inference with applications to electronic health records	2
Robust sensible adversarial learning of deep neural networks for image classification	2
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction	2
Clustering on the torus by conformal prediction	2
Full Bayesian inference in hidden Markov models of plant growth	2
Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation	2
Hierarchical Bayesian modeling of ocean heat content and its uncertainty	2
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data	2
Overlap violations in external validity: Application to Ugandan cash transfer programs	2
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration	2
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh	2
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography	2
Modelled approximations to the ideal filter with application to GDP and its components	2
Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship	2
Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia	2
Statistical inference for regression with imputed binary covariates with application to emotion recognition	1
A semiparametric method for risk prediction using integrated electronic health record data	1
Hospital quality risk standardization via approximate balancing weights	1
A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification	1
Bayesian modeling of insurance claims for hail damage	1
Additive density-on-scalar regression in Bayes Hilbert spaces with an application to gender economics	1
Generalized fiducial factor: An alternative to the Bayes factor for forensic identification of source problems	1
Filtrated common functional principal component analysis of multigroup functional data	1
Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection	1
Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences	1
The short-term dynamics of conflict-driven displacement: Bayesian modeling of disaggregated data from Somalia	1
Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada	1
EDITORIAL: Statistical significance, P-values, and replicability	1
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey	1
Functional random effects modeling of brain shape and connectivity	1
VCSEL: Prioritizing SNP-set by penalized variance component selection	1
A behavioral approach to repeated Bayesian security games	1
Kullback-Leibler-based discrete failure time models for integration of published prediction models with new time-to-event dataset	1
A new design for observational studies applied to the study of the effects of high school football on cognition late in life	1
Scalable multiple network inference with the joint graphical horseshoe	1