Annals of Applied Statistics

Article	Citations
The ASA president’s task force statement on statistical significance and replicability	21
Orthogonal subsampling for big data linear regression	20
Estimating global and country-specific excess mortality during the Covid-19 pandemic	20
Log-contrast regression with functional compositional predictors: Linking preterm infants’ gut microbiome trajectories to neurobehavioral outcome	19
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation	18
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	15
Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory	15
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic	15
Inflection points in community-level homeless rates	15
Causal inference from observational studies with clustered interference, with application to a cholera vaccine study	14
Markov decision processes with dynamic transition probabilities: An analysis of shooting strategies in basketball	14
Doubly robust treatment effect estimation with missing attributes	14
Causal mediation analysis for sparse and irregular longitudinal data	14
Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths	13
High-fidelity hurricane surge forecasting using emulation and sequential experiments	13
Testing for differential abundance in compositional counts data, with application to microbiome studies	13
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model	12
The assessment of replication success based on relative effect size	12
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	11
Inference in Bayesian additive vector autoregressive tree models	11
Estimation of cell lineage trees by maximum-likelihood phylogenetics	11
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models	11
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling	11
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes	11
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes	11

Bayesian multistudy factor analysis for high-throughput biological data	11
Stabilizing variable selection and regression	11
Feature selection for data integration with mixed multiview data	10
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees	10
Asymmetric tail dependence modeling, with application to cryptocurrency market data	10
A semiparametric promotion time cure model with support vector machine	9
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies	9
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event	9
The statistical performance of matching-adjusted indirect comparisons: Estimating treatment effects with aggregate external control data	9
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis	9
A Bayesian time-varying effect model for behavioral mHealth data	9
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data	8
Hierarchical integrated spatial process modeling of monotone West Antarctic snow density curves	8
Perturbed factor analysis: Accounting for group differences in exposure profiles	8
Spike-and-slab Lasso biclustering	8
Control charts for dynamic process monitoring with an application to air pollution surveillance	8
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework	8
Identifying main effects and interactions among exposures using Gaussian processes	8
Modelling extremes of spatial aggregates of precipitation using conditional methods	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
ALPHA: Audit that learns from previously hand-audited ballots	7
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France	7
Additive stacking for disaggregate electricity demand forecasting	7
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	7
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys	7
A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds	7
Adaptive log-linear zero-inflated generalized Poisson autoregressive model with applications to crime counts	7
Tensor-variate finite mixture modeling for the analysis of university professor remuneration	6
EDITORIAL: Statistical significance, P-values, and replicability	6
The causal effect of a timeout at stopping an opposing run in the NBA	6
Large-scale multivariate sparse regression with applications to UK Biobank	6
Probabilistic forecasting of the Arctic sea ice edge with contour modeling	6
Extended stochastic block models with application to criminal networks	6
Qini-based uplift regression	6
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	6
Statistical methods for replicability assessment	6
Topological learning for brain networks	6
Identifying overlapping terrorist cells from the Noordin Top actor–event network	6
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude	6
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	6
Estimating the effects of a California gun control program with multitask Gaussian processes	6
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging	6
Modelling the sound production of narwhals using a point process framework with memory effects	5
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models	5
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities	5
Partial-mastery cognitive diagnosis models	5
Sequential Monte Carlo for sampling balanced and compact redistricting plans	5
Causal inference for the effect of mobility on COVID-19 deaths	5
A semiparametric mixture method for local false discovery rate estimation from multiple studies	5
Analysis of presence-only data via exact Bayes, with model and effects identification	5

Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery	5
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors	5
PTEM: A popularity-based topical expertise model for community question answering	5
Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction	5
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	5
Uncertainty quantification of a computer model for binary black hole formation	5
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation	5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	5
Clustering and forecasting multiple functional time series	5
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling	5
Targeting underrepresented populations in precision medicine: A federated transfer learning approach	5
Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion	5
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials	5
Semi-supervised nonparametric Bayesian modelling of spatial proteomics	5
Nonparametric Bayesian multiarmed bandits for single-cell experiment design	5
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis	5
Point process modeling of drug overdoses with heterogeneous and missing data	5
Joint and individual analysis of breast cancer histologic images and genomic covariates	5
Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system	5
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey	4
Joint integrative analysis of multiple data sources with correlated vector outcomes	4
The role of scale in the estimation of cell-type proportions	4
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data	4
A Bayesian nonparametric approach to super-resolution single-molecule localization	4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	4
Multistate capture–recapture models for irregularly sampled data	4
In-game win probabilities for the National Rugby League	4
Integrative statistical methods for exposure mixtures and health	4
Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric rivers	4
Matrix completion methods for the total electron content video reconstruction	4
Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing	4
Integrated Quantile RAnk Test (iQRAT) for gene-level associations	4
Spatial functional data modeling of plant reflectances	4
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide	4
Network differential connectivity analysis	4
Analysing the causal effect of London cycle superhighways on traffic congestion	4
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts	4
Subgroup-effects models for the analysis of personal treatment effects	4
Does terrorism trigger online hate speech? On the association of events and time series	4
Tensor quantile regression with application to association between neuroimages and human intelligence	4
A functional-data approach to the Argo data	4
BayICE: A Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data	4
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach	4
Knockoffs with side information	4
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data	4
Multilevel time-series models for small area estimation at different frequencies and domain levels	4
Spatial distributed lag data fusion for estimating ambient air pollution	3
Higher criticism for discriminating word-frequency tables and authorship attribution	3
Identifying the recurrence of sleep apnea using a harmonic hidden Markov model	3
Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment	3
Bayesian joint modeling of chemical structure and dose response curves	3
Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data	3
Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure	3
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects	3
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	3
Bayesian inverse reinforcement learning for collective animal movement	3
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics	3
Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations	3
Nested conformal prediction sets for classification with applications to probation data	3
Hawkes binomial topic model with applications to coupled conflict-Twitter data	3
Pan-disease clustering analysis of the trend of period prevalence	3
Optimal EMG placement for a robotic prosthesis controller with sequential, adaptive functional estimation (SAFE)	3
A bridging model to reconcile statistics based on data from multiple surveys	3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data	3
Conex–Connect: Learning patterns in extremal brain connectivity from MultiChannel EEG data	3
Detection of two-way outliers in multivariate data and application to cheating detection in educational tests	3
A deep learning semiparametric regression for adjusting complex confounding structures	3
Bayesian model selection: Application to the adjustment of fundamental physical constants	3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth	3
Statistical shape analysis of brain arterial networks (BAN)	3
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size	3
Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model	3
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial	3
Leveraging Hardy–Weinberg disequilibrium for association testing in case-control studies	3
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel	3
Monotonic effects of characteristics on returns	3
Contrastive latent variable modeling with application to case-control sequencing experiments	3
Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times	3
Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19	3
Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia	3

An evaluation of statistical methods for aggregate patterns of replication failure	3
An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling	3
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study	3
Mixture of hidden Markov models for accelerometer data	3
Semiparametric multinomial mixed-effects models: A university students profiling tool	3
Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference	3
Pairwise nonlinear dependence analysis of genomic data	3
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball	3
Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data	3
Discovering interactions using covariate informed random partition models	3
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation	2
A nonseparable first-order spatiotemporal intensity for events on linear networks: An application to ambulance interventions	2
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer	2
Spatial quantile autoregression for season within year daily maximum temperature data	2
Generalized fiducial factor: An alternative to the Bayes factor for forensic identification of source problems	2
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling	2
Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach	2
Simulating flood event sets using extremal principal components	2
Hospital quality risk standardization via approximate balancing weights	2
Sequential modeling, monitoring, and forecasting of streaming web traffic data	2
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization	2
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	2
A nearest-neighbor based nonparametric test for viral remodeling in heterogeneous single-cell proteomic data	2
distinct: A novel approach to differential distribution analyses	2
Clustering on the torus by conformal prediction	2
Identifying intergenerational patterns of correlated methylation sites	2
Preelectoral polls variability: A hierarchical Bayesian model to assess the role of house effects with application to Italian elections	2
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data	2
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data	2
Calibration of SpatioTemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks	2
Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference	2
Robust Bayesian inference for Big Data: Combining sensor-based records with traditional survey data	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
Integrative network learning for multimodality biomarker data	2
A multiple imputation procedure for record linkage and causal inference to estimate the effects of home-delivered meals	2
Sensitivity analysis for evaluating principal surrogate endpoints relaxing the equal early clinical risk assumption	2
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV	2
Active matrix factorization for surveys	2
Bayesian functional registration of fMRI activation maps	2
Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records	2
Spatiotemporal-textual point processes for crime linkage detection	2
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis	2
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions	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
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance	2
Improved inference on risk measures for univariate extremes	2
Ice model calibration using semicontinuous spatial data	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
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation	2
Bayesian combinatorial MultiStudy factor analysis	2
Data fusion model for speciated nitrogen to identify environmental drivers and improve estimation of nitrogen in lakes	2
A Bayesian model of dose-response for cancer drug studies	2
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design	2
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data	2
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions	2
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records	2
Model-independent detection of new physics signals using interpretable SemiSupervised classifier tests	2
Robust causal inference for incremental return on ad spend with randomized paired geo experiments	2
Subgroup identification and variable selection for treatment decision making	2
Hierarchical multidimensional scaling for the comparison of musical performance styles	2
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing	2
A Bayesian hierarchical model for evaluating forensic footwear evidence	2
Spatial voting models in circular spaces: A case study of the U.S. House of Representatives	2
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic	2
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity	2
Late 19th century navigational uncertainties and their influence on sea surface temperature estimates	2
A multivariate spatiotemporal change-point model of opioid overdose deaths in Ohio	2
Modeling panels of extremes	2
Region-referenced spectral power dynamics of EEG signals: A hierarchical modeling approach	2
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study	2
Aggregated pairwise classification of elastic planar shapes	2
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
Mining events with declassified diplomatic documents	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
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography	1
Multivariate mixed membership modeling: Inferring domain-specific risk profiles	1
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial	1
Robust sensible adversarial learning of deep neural networks for image classification	1
A compositional model to assess expression changes from single-cell RNA-seq data	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
Graph link prediction in computer networks using Poisson matrix factorisation	1
Classification from only positive and unlabeled functional data	1
Two-way sparsity for time-varying networks with applications in genomics	1
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution	1
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data	1
Accounting for smoking in forecasting mortality and life expectancy	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
Modeling the visibility distribution for respondent-driven sampling with application to population size estimation	1
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data	1
Spatiotemporal satellite data imputation using sparse functional data analysis	1