Annals of Applied Statistics

Article	Citations
Composite mixture of log-linear models with application to psychiatric studies	28
A compositional model to assess expression changes from single-cell RNA-seq data	27
Inferring synergistic and antagonistic interactions in mixtures of exposures	21
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support	21
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data	17
ALPHA: Audit that learns from previously hand-audited ballots	16
Multilevel time-series models for small area estimation at different frequencies and domain levels	16
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution	16
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data	15
Analysing the causal effect of London cycle superhighways on traffic congestion	15
Uncertainty quantification of a computer model for binary black hole formation	15
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel	15
Graph link prediction in computer networks using Poisson matrix factorisation	14
Control charts for dynamic process monitoring with an application to air pollution surveillance	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
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets	13
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization	13
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	13
Sequential Monte Carlo for sampling balanced and compact redistricting plans	12
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials	12
Modeling panels of extremes	12
Unsupervised streaming anomaly detection for instrumented infrastructure	12
Marginally calibrated response distributions for end-to-end learning in autonomous driving	11
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
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies	10
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
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	10
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome	9
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV	9
Data-driven chimney fire risk prediction using machine learning and point process tools	9
Real-time mechanistic Bayesian forecasts of COVID-19 mortality	9
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging	9
Identifying peer influence in therapeutic communities adjusting for latent homophily	9
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data	9
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions	8
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study	8
Partial-mastery cognitive diagnosis models	8
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	7
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model	7
Tensor quantile regression with low-rank tensor train estimation	7
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial	7
Disentangling the structure of ecological bipartite networks from observation processes	7
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades	7
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks	7
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression	7
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design	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	6
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression	6
Readability prediction: How many features are necessary?	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
Generalized theme dictionary models for association pattern discovery	6
Postelection analysis of presidential election/poll data	6
Latent level correlation modeling of multivariate discrete-valued financial time series	6
Pairwise nonlinear dependence analysis of genomic data	6
Matrix completion methods for the total electron content video reconstruction	6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis	6
ANOPOW for replicated nonstationary time series in experiments	6
Varying impacts of letters of recommendation on college admissions	6
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models	6
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk	6
Modelling extremes of spatial aggregates of precipitation using conditional methods	6
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry	6
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship	5
Using proxies to improve forecast evaluation	5
Communication network dynamics in a large organizational hierarchy	5
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	5
Latent subgroup identification in image-on-scalar regression	5
Design-based inference for spatial experiments under unknown interference	5
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions	5

Corrigendum Modeling biomarker ratios with gamma distributed components	5
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries	5
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial	5
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data	5
A latent variable approach for modeling relational data with multiple receivers	5
Nonparametric causal decomposition of group disparities	5
Assessing treatment effect through compliance score in randomized trials with noncompliance	5
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity	5
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression	5
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	5
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications	5
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules	5
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes	5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.	5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	4
Nested conformal prediction sets for classification with applications to probation data	4
Pan-disease clustering analysis of the trend of period prevalence	4
Flexible instrumental variable models with Bayesian additive regression trees	4
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition	4
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold	4
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data	4
Assessing aquatic toxicity assessment via a clustered variance model	4
Tensor-variate finite mixture modeling for the analysis of university professor remuneration	4
Contrastive latent variable modeling with application to case-control sequencing experiments	4
Bayesian model selection: Application to the adjustment of fundamental physical constants	4
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile	4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles	4
Improved inference on risk measures for univariate extremes	4
Knockoffs with side information	4
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects	4
Estimating Covid-19 transmission time using Hawkes point processes	4
Individual dynamic prediction for cure and survival based on longitudinal biomarkers	4
Graph-aware modeling of brain connectivity networks	4
Semiparametric estimation for dynamic networks with shifted connecting intensities	4
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models	4
Causal inference for the effect of mobility on COVID-19 deaths	4
Tensor regression for incomplete observations with application to longitudinal studies	4
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints	4
Modeling animal movement with directional persistence and attractive points	3
Joint stochastic simulation of extreme coastal and offshore significant wave heights	3
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	3
A Bayesian hierarchical model for combining multiple data sources in population size estimation	3
Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study	3
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data	3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data	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
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	3
Ice model calibration using semicontinuous spatial data	3
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data	3
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak	3
Spatial functional data modeling of plant reflectances	3
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals	3
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects	3
A continuous-time semi-Markov model for animal movement in a dynamic environment	3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data	3
Bivariate hierarchical Bayesian model for combining summary measures and their uncertainties from multiple sources	3
Markov random field models for vector-based representations of landscapes	3
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer	3
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league	3
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation	3
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data	3
Sparse block signal detection and identification for shared cross-trait association analysis	3
Multimodel ensemble analysis with neural network Gaussian processes	3
Inflection points in community-level homeless rates	3
Neural networks for extreme quantile regression with an application to forecasting of flood risk	3
Bayesian joint modeling of chemical structure and dose response curves	3
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains	3
Network differential connectivity analysis	3
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis	3
What makes forest-based heterogeneous treatment effect estimators work?	3
Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency	3
A functional-data approach to the Argo data	3
Statistical curve models for inferring 3D chromatin architecture	3
A high-dimensional approach to measure connectivity in the financial sector	3
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	3
Aggregated pairwise classification of elastic planar shapes	3
A Riemann manifold model framework for longitudinal changes in physical activity patterns	3
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation	3
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	3

How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	3
Learning common structures in a collection of networks. An application to food webs	3
Modeling trajectories using functional linear differential equations	2
Continuous and atlas-free analysis of brain structural connectivity	2
Doubly-online changepoint detection for monitoring health status during sports activities	2
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial	2
Predictive inference for travel time on transportation networks	2
A Bayesian accelerated failure time model for interval censored three-state screening outcomes	2
Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data	2
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome	2
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration	2
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity	2
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data	2
Qini-based uplift regression	2
Higher criticism for discriminating word-frequency tables and authorship attribution	2
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys	2
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography	2
Binned multinomial logistic regression for integrative cell-type annotation	2
Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement	2
Manifold valued data analysis of samples of networks, with applications in corpus linguistics	2
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data	2
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology	2
Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys	2
Modelled approximations to the ideal filter with application to GDP and its components	2
Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures	2
Bayesian Cox regression for large-scale inference with applications to electronic health records	2
Athlete rating in multicompetitor games with scored outcomes via monotone transformations	2
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies	2
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions	2
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data	2
Bayesian multiple instance classification based on hierarchical probit regression	2
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance	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
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework	2
A population-aware retrospective regression to detect genome-wide variants with sex difference in allele frequency	2
Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model	2
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation	2
Permutation tests under a rotating sampling plan with clustered data	2
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics	2
Analysis of presence-only data via exact Bayes, with model and effects identification	2
Hierarchical Bayesian modeling of ocean heat content and its uncertainty	2
Designing experiments for estimating an appropriate outlet size for a silo type problem	2
The causal effect of a timeout at stopping an opposing run in the NBA	2
Has the Covid-19 outbreak capsized the predictive performance of Bayesian VAR models with cointegration and time-varying volatility?	2
A spatial autoregressive random forest algorithm for small-area spatial prediction	2
Robust sensible adversarial learning of deep neural networks for image classification	2
Network-level traffic flow prediction: Functional time series vs. functional neural network approach	2
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA	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
Clustering on the torus by conformal prediction	2
Probabilistic forecasting of the Arctic sea ice edge with contour modeling	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
Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation	2
Subgroup identification and variable selection for treatment decision making	2
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction	2
Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations	1
Additive stacking for disaggregate electricity demand forecasting	1
Variance as a predictor of health outcomes: Subject-level trajectories and variability of sex hormones to predict body fat changes in peri- and postmenopausal women	1
Detecting distributional differences in labeled sequence data with application to tropical cyclone satellite imagery	1
Model-independent detection of new physics signals using interpretable SemiSupervised classifier tests	1
Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada	1
Sensitivity analysis for evaluating principal surrogate endpoints relaxing the equal early clinical risk assumption	1
Robust causal inference for incremental return on ad spend with randomized paired geo experiments	1
EDITORIAL: Statistical significance, P-values, and replicability	1
Multistate capture–recapture models for irregularly sampled data	1
Joint modeling of multistate and nonparametric multivariate longitudinal data	1
Modeling curves and derivatives as predictors for traffic breakdown probabilities	1
Integrating multiple built environment data sources	1
Joint and individual analysis of breast cancer histologic images and genomic covariates	1
Correction to: Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	1
Probabilistic contrastive dimension reduction for case-control study data	1
Robust joint modelling of left-censored longitudinal data and survival data with application to HIV vaccine studies	1
Generalized fiducial factor: An alternative to the Bayes factor for forensic identification of source problems	1
Generative machine learning methods for multivariate ensemble postprocessing	1
Statistical shape analysis of brain arterial networks (BAN)	1
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records	1
Filtrated common functional principal component analysis of multigroup functional data	1
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size	1
A novel framework to estimate multidimensional minimum effective doses using asymmetric posterior gain and ϵ-tapering	1
Statistical inference for regression with imputed binary covariates with application to emotion recognition	1
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey	1
The assessment of replication success based on relative effect size	1
Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention	1
Scalable multiple network inference with the joint graphical horseshoe	1
Functional random effects modeling of brain shape and connectivity	1
Bayesian multistudy factor analysis for high-throughput biological data	1
Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains	1
Additive density-on-scalar regression in Bayes Hilbert spaces with an application to gender economics	1
Causal mediation analysis for sparse and irregular longitudinal data	1
A semiparametric method for risk prediction using integrated electronic health record data	1
distinct: A novel approach to differential distribution analyses	1
Prediction of hereditary cancers using neural networks	1
Surrogate method for partial association between mixed data with application to well-being survey analysis	1