Annals of Applied Statistics

Article	Citations
Bayesian variable selection for survival data using inverse moment priors	19
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation	18
The ASA president’s task force statement on statistical significance and replicability	18
The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments	17
Orthogonal subsampling for big data linear regression	17
A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet	16
Log-contrast regression with functional compositional predictors: Linking preterm infants’ gut microbiome trajectories to neurobehavioral outcome	15
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic	15
Estimating global and country-specific excess mortality during the Covid-19 pandemic	15
Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation	13
Doubly robust treatment effect estimation with missing attributes	13
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	13
Seasonal warranty prediction based on recurrent event data	12
High-fidelity hurricane surge forecasting using emulation and sequential experiments	12
Causal mediation analysis for sparse and irregular longitudinal data	12
Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths	12
Markov decision processes with dynamic transition probabilities: An analysis of shooting strategies in basketball	12
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model	12
Inflection points in community-level homeless rates	12
Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory	12
A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging	11
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes	11
Bayesian multistudy factor analysis for high-throughput biological data	11
Feature selection for data integration with mixed multiview data	10
Causal inference from observational studies with clustered interference, with application to a cholera vaccine study	10

Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling	10
Estimation of cell lineage trees by maximum-likelihood phylogenetics	10
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models	10
Function-on-scalar quantile regression with application to mass spectrometry proteomics data	10
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	10
Stabilizing variable selection and regression	9
A Bayesian time-varying effect model for behavioral mHealth data	9
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event	9
The assessment of replication success based on relative effect size	9
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework	8
The statistical performance of matching-adjusted indirect comparisons: Estimating treatment effects with aggregate external control data	8
Identifying main effects and interactions among exposures using Gaussian processes	8
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees	8
Testing for differential abundance in compositional counts data, with application to microbiome studies	8
Spike-and-slab Lasso biclustering	7
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies	7
Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model	7
Adaptive log-linear zero-inflated generalized Poisson autoregressive model with applications to crime counts	7
Inference in Bayesian additive vector autoregressive tree models	7
Baseline drift estimation for air quality data using quantile trend filtering	7
ALPHA: Audit that learns from previously hand-audited ballots	7
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys	6
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude	6
Asymmetric tail dependence modeling, with application to cryptocurrency market data	6
Hierarchical integrated spatial process modeling of monotone West Antarctic snow density curves	6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	6
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data	6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis	6
A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds	6
Statistical methods for replicability assessment	6
Tensor-variate finite mixture modeling for the analysis of university professor remuneration	6
Focused model selection for linear mixed models with an application to whale ecology	6
Perturbed factor analysis: Accounting for group differences in exposure profiles	6
A global-local approach for detecting hotspots in multiple-response regression	6
Torus graphs for multivariate phase coupling analysis	6
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes	6
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	5
EDITORIAL: Statistical significance, P-values, and replicability	5
Modelling extremes of spatial aggregates of precipitation using conditional methods	5
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	5
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities	5
Control charts for dynamic process monitoring with an application to air pollution surveillance	5
Identifying overlapping terrorist cells from the Noordin Top actor–event network	5
Modelling the sound production of narwhals using a point process framework with memory effects	5
Joint and individual analysis of breast cancer histologic images and genomic covariates	5
A semiparametric promotion time cure model with support vector machine	5
Probabilistic forecasting of the Arctic sea ice edge with contour modeling	5
Uncertainty quantification of a computer model for binary black hole formation	5
Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery	5
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models	5

Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction	5
Causal inference for the effect of mobility on COVID-19 deaths	5
Does terrorism trigger online hate speech? On the association of events and time series	4
The causal effect of a timeout at stopping an opposing run in the NBA	4
Nonparametric Bayesian multiarmed bandits for single-cell experiment design	4
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling	4
Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model	4
Multilevel time-series models for small area estimation at different frequencies and domain levels	4
Estimation and inference in metabolomics with nonrandom missing data and latent factors	4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	4
Topological learning for brain networks	4
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data	4
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France	4
Multistate capture–recapture models for irregularly sampled data	4
Clustering and forecasting multiple functional time series	4
Additive stacking for disaggregate electricity demand forecasting	4
In-game win probabilities for the National Rugby League	4
A functional-data approach to the Argo data	4
Integrative statistical methods for exposure mixtures and health	4
Extended stochastic block models with application to criminal networks	4
Partial-mastery cognitive diagnosis models	4
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model	4
Network differential connectivity analysis	4
An efficient and computationally robust statistical method for analyzing case-control mother–offspring pair genetic association studies	4
Qini-based uplift regression	4
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation	4
Matrix completion methods for the total electron content video reconstruction	4
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging	4
A semiparametric mixture method for local false discovery rate estimation from multiple studies	4
PTEM: A popularity-based topical expertise model for community question answering	4
Point process modeling of drug overdoses with heterogeneous and missing data	4
Sequential importance sampling for multiresolution Kingman–Tajima coalescent counting	4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	4
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis	4
Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric rivers	3
Robust causal inference for incremental return on ad spend with randomized paired geo experiments	3
A bridging model to reconcile statistics based on data from multiple surveys	3
A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matter	3
Optimal EMG placement for a robotic prosthesis controller with sequential, adaptive functional estimation (SAFE)	3
The role of scale in the estimation of cell-type proportions	3
Semi-supervised nonparametric Bayesian modelling of spatial proteomics	3
Bayesian joint modeling of chemical structure and dose response curves	3
Integrated Quantile RAnk Test (iQRAT) for gene-level associations	3
Accounting for uncertainty about past values in probabilistic projections of the total fertility rate for most countries	3
Mixture of hidden Markov models for accelerometer data	3
Contrastive latent variable modeling with application to case-control sequencing experiments	3
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball	3
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts	3
Leveraging Hardy–Weinberg disequilibrium for association testing in case-control studies	3
Monotonic effects of characteristics on returns	3
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data	3
An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling	3
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials	3
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach	3
Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data	3
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size	3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth	3
Nested conformal prediction sets for classification with applications to probation data	3
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey	3
Discovering interactions using covariate informed random partition models	3
Analyses of preventive care measures with incomplete historical data in electronic medical records: An example from colorectal cancer screening	3
Analysis of presence-only data via exact Bayes, with model and effects identification	3
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors	3
Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing	3
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	3
A deep learning semiparametric regression for adjusting complex confounding structures	3
Detection of two-way outliers in multivariate data and application to cheating detection in educational tests	3
An evaluation of statistical methods for aggregate patterns of replication failure	3
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	3
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics	3
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel	3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity	2
Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment	2
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance	2
Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia	2
Measurement error correction in particle tracking microrheology	2
A novel framework to estimate multidimensional minimum effective doses using asymmetric posterior gain and ϵ-tapering	2
Data fusion model for speciated nitrogen to identify environmental drivers and improve estimation of nitrogen in lakes	2
Sequential Monte Carlo for sampling balanced and compact redistricting plans	2
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data	2

Late 19th century navigational uncertainties and their influence on sea surface temperature estimates	2
Robust inference when combining inverse-probability weighting and multiple imputation to address missing data with application to an electronic health records-based study of bariatric surgery	2
Improved inference on risk measures for univariate extremes	2
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling	2
Subgroup-effects models for the analysis of personal treatment effects	2
Bayesian functional registration of fMRI activation maps	2
Clustering on the torus by conformal prediction	2
Joint integrative analysis of multiple data sources with correlated vector outcomes	2
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic	2
Semiparametric multinomial mixed-effects models: A university students profiling tool	2
Higher criticism for discriminating word-frequency tables and authorship attribution	2
Bayesian inference for multistrain epidemics with application to ESCHERICHIA COLI O157:H7 in feedlot cattle	2
Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure	2
Identifying intergenerational patterns of correlated methylation sites	2
Spatial functional data modeling of plant reflectances	2
Hawkes binomial topic model with applications to coupled conflict-Twitter data	2
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions	2
A Bayesian hierarchical model for evaluating forensic footwear evidence	2
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study	2
A multivariate spatiotemporal change-point model of opioid overdose deaths in Ohio	2
Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data	2
Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion	2
Modeling panels of extremes	2
Identifying the recurrence of sleep apnea using a harmonic hidden Markov model	2
Sensitivity analysis for evaluating principal surrogate endpoints relaxing the equal early clinical risk assumption	2
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide	2
A Bayesian model of dose-response for cancer drug studies	2
Subgroup identification and variable selection for treatment decision making	2
Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference	2
Pan-disease clustering analysis of the trend of period prevalence	2
Sequential modeling, monitoring, and forecasting of streaming web traffic data	2
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	2
Bayesian inverse reinforcement learning for collective animal movement	2
Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations	2
A multiple imputation procedure for record linkage and causal inference to estimate the effects of home-delivered meals	2
Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data	2
Large-scale multivariate sparse regression with applications to UK Biobank	2
Spatial distributed lag data fusion for estimating ambient air pollution	2
BayICE: A Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data	2
Tensor quantile regression with application to association between neuroimages and human intelligence	2
Knockoffs with side information	2
Robust Bayesian inference for Big Data: Combining sensor-based records with traditional survey data	2
Hierarchical multidimensional scaling for the comparison of musical performance styles	2
Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times	2
Preelectoral polls variability: A hierarchical Bayesian model to assess the role of house effects with application to Italian elections	2
A Bayesian nonparametric approach to super-resolution single-molecule localization	2
Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model	2
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study	2
Spatial quantile autoregression for season within year daily maximum temperature data	2
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects	2
Spatiotemporal-textual point processes for crime linkage detection	2
Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records	2
Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system	2
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions	2
Simulating flood event sets using extremal principal components	2
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography	1
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data	1
A compositional model to assess expression changes from single-cell RNA-seq data	1
Hospital quality risk standardization via approximate balancing weights	1
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial	1
Co-clustering of spatially resolved transcriptomic data	1
Mining events with declassified diplomatic documents	1
Generalized accelerated recurrence time model in the presence of a dependent terminal event	1
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV	1
distinct: A novel approach to differential distribution analyses	1
Estimating causal effects of HIV prevention interventions with interference in network-based studies among people who inject drugs	1
Dynamic prediction of residual life with longitudinal covariates using long short-term memory networks	1
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis	1
Graph link prediction in computer networks using Poisson matrix factorisation	1
Estimating the effects of a California gun control program with multitask Gaussian processes	1
Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach	1
Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data	1
Estimating Covid-19 transmission time using Hawkes point processes	1
Evidence factors in a case-control study with application to the effect of flexible sigmoidoscopy screening on colorectal cancer	1
Multimodel ensemble analysis with neural network Gaussian processes	1
Inferring food intake from multiple biomarkers using a latent variable model	1
Estimating mode effects from a sequential mixed-mode experiment using structural moment models	1
Two-way sparsity for time-varying networks with applications in genomics	1
Sequentially valid tests for forecast calibration	1
An omnibus test for detection of subgroup treatment effects via data partitioning	1
Size estimation of key populations in the HIV epidemic in eSwatini using incomplete and misaligned capture-recapture data	1
Classification from only positive and unlabeled functional data	1
Bayesian model selection: Application to the adjustment of fundamental physical constants	1
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records	1
Robust sensible adversarial learning of deep neural networks for image classification	1
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing	1
Conex–Connect: Learning patterns in extremal brain connectivity from MultiChannel EEG data	1
Accounting for smoking in forecasting mortality and life expectancy	1
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions	1
Analysing the causal effect of London cycle superhighways on traffic congestion	1
Multivariate mixed membership modeling: Inferring domain-specific risk profiles	1
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction	1
Measuring timeliness of annual reports filing by jump additive models	1
Dimensions, power and factors in an observational study of behavioral problems after physical abuse of children	1
Spatial voting models in circular spaces: A case study of the U.S. House of Representatives	1