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
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation	18
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic	16
Causal mediation analysis for sparse and irregular longitudinal data	15
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	15
Inflection points in community-level homeless rates	15
High-fidelity hurricane surge forecasting using emulation and sequential experiments	14
Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths	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
Bayesian multistudy factor analysis for high-throughput biological data	11
Stabilizing variable selection and regression	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
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	11
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes	11
Inference in Bayesian additive vector autoregressive tree models	11
Estimation of cell lineage trees by maximum-likelihood phylogenetics	11
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees	11
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis	10
The statistical performance of matching-adjusted indirect comparisons: Estimating treatment effects with aggregate external control data	10
Asymmetric tail dependence modeling, with application to cryptocurrency market data	10

Control charts for dynamic process monitoring with an application to air pollution surveillance	10
Feature selection for data integration with mixed multiview data	10
A Bayesian time-varying effect model for behavioral mHealth data	9
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies	9
A semiparametric promotion time cure model with support vector machine	9
Hierarchical integrated spatial process modeling of monotone West Antarctic snow density curves	9
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event	9
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework	8
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data	8
Perturbed factor analysis: Accounting for group differences in exposure profiles	8
Modelling extremes of spatial aggregates of precipitation using conditional methods	8
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France	8
Spike-and-slab Lasso biclustering	8
Identifying main effects and interactions among exposures using Gaussian processes	8
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys	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
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	7
Additive stacking for disaggregate electricity demand forecasting	7
Topological learning for brain networks	7
ALPHA: Audit that learns from previously hand-audited ballots	7
A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds	7
Extended stochastic block models with application to criminal networks	7
EDITORIAL: Statistical significance, P-values, and replicability	6
Targeting underrepresented populations in precision medicine: A federated transfer learning approach	6
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	6
Probabilistic forecasting of the Arctic sea ice edge with contour modeling	6
Qini-based uplift regression	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
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging	6
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude	6
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	6
Estimating the effects of a California gun control program with multitask Gaussian processes	6
Tensor-variate finite mixture modeling for the analysis of university professor remuneration	6
Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery	5
Joint and individual analysis of breast cancer histologic images and genomic covariates	5
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling	5
Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction	5
Partial-mastery cognitive diagnosis models	5
Semi-supervised nonparametric Bayesian modelling of spatial proteomics	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
Modelling the sound production of narwhals using a point process framework with memory effects	5
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors	5
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models	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
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide	5
Nonparametric Bayesian multiarmed bandits for single-cell experiment design	5

Knockoffs with side information	5
Point process modeling of drug overdoses with heterogeneous and missing data	5
Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system	5
Clustering and forecasting multiple functional time series	5
Analysis of presence-only data via exact Bayes, with model and effects identification	5
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities	5
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	5
Spatial functional data modeling of plant reflectances	5
Sequential Monte Carlo for sampling balanced and compact redistricting plans	5
Causal inference for the effect of mobility on COVID-19 deaths	5
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis	5
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
Integrative statistical methods for exposure mixtures and health	4
BayICE: A Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data	4
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data	4
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts	4
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
A functional-data approach to the Argo data	4
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach	4
Multilevel time-series models for small area estimation at different frequencies and domain levels	4
Multistate capture–recapture models for irregularly sampled data	4
In-game win probabilities for the National Rugby League	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
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	4
Network differential connectivity analysis	4
Analysing the causal effect of London cycle superhighways on traffic congestion	4
Subgroup-effects models for the analysis of personal treatment effects	4
Tensor quantile regression with application to association between neuroimages and human intelligence	4
Conex–Connect: Learning patterns in extremal brain connectivity from MultiChannel EEG data	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
Spatiotemporal-textual point processes for crime linkage detection	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
Nested conformal prediction sets for classification with applications to probation data	3
Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data	3
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial	3
Spatial distributed lag data fusion for estimating ambient air pollution	3
Discovering interactions using covariate informed random partition models	3
Identifying the recurrence of sleep apnea using a harmonic hidden Markov model	3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data	3
Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment	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
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
Higher criticism for discriminating word-frequency tables and authorship attribution	3
Hawkes binomial topic model with applications to coupled conflict-Twitter data	3
Pan-disease clustering analysis of the trend of period prevalence	3
Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations	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
Detection of two-way outliers in multivariate data and application to cheating detection in educational tests	3
Bayesian joint modeling of chemical structure and dose response curves	3
An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling	3
An evaluation of statistical methods for aggregate patterns of replication failure	3
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects	3
Statistical shape analysis of brain arterial networks (BAN)	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
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity	3
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball	3
Monotonic effects of characteristics on returns	3
A bridging model to reconcile statistics based on data from multiple surveys	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
Calibration of SpatioTemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks	3
Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19	3
Measurement error correction in particle tracking microrheology	2

Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records	2
Region-referenced spectral power dynamics of EEG signals: A hierarchical modeling approach	2
Hospital quality risk standardization via approximate balancing weights	2
Bayesian combinatorial MultiStudy factor analysis	2
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions	2
Dynamic risk prediction triggered by intermediate events using survival tree ensembles	2
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	2
A multivariate spatiotemporal change-point model of opioid overdose deaths in Ohio	2
Aggregated pairwise classification of elastic planar shapes	2
A Bayesian model of dose-response for cancer drug studies	2
Spatial quantile autoregression for season within year daily maximum temperature data	2
Spatial voting models in circular spaces: A case study of the U.S. House of Representatives	2
Integrative network learning for multimodality biomarker data	2
Late 19th century navigational uncertainties and their influence on sea surface temperature estimates	2
Generalized fiducial factor: An alternative to the Bayes factor for forensic identification of source problems	2
Filtrated common functional principal component analysis of multigroup functional data	2
Hierarchical multidimensional scaling for the comparison of musical performance styles	2
Improved inference on risk measures for univariate extremes	2
Subgroup identification and variable selection for treatment decision making	2
Dynamic prediction of residual life with longitudinal covariates using long short-term memory networks	2
Identifying intergenerational patterns of correlated methylation sites	2
Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach	2
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation	2
Robust causal inference for incremental return on ad spend with randomized paired geo experiments	2
Ice model calibration using semicontinuous spatial data	2
Clustering on the torus by conformal prediction	2
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation	2
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV	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
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data	2
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design	2
A multiple imputation procedure for record linkage and causal inference to estimate the effects of home-delivered meals	2
distinct: A novel approach to differential distribution analyses	2
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis	2
Preelectoral polls variability: A hierarchical Bayesian model to assess the role of house effects with application to Italian elections	2
Sensitivity analysis for evaluating principal surrogate endpoints relaxing the equal early clinical risk assumption	2
Simulating flood event sets using extremal principal components	2
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization	2
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data	2
A nearest-neighbor based nonparametric test for viral remodeling in heterogeneous single-cell proteomic data	2
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study	2
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance	2
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing	2
A nonseparable first-order spatiotemporal intensity for events on linear networks: An application to ambulance interventions	2
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic	2
Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference	2
Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records	2
Robust Bayesian inference for Big Data: Combining sensor-based records with traditional survey data	2
Data fusion model for speciated nitrogen to identify environmental drivers and improve estimation of nitrogen in lakes	2
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer	2
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions	2
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling	2
A novel framework to estimate multidimensional minimum effective doses using asymmetric posterior gain and ϵ-tapering	2
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data	2
Model-independent detection of new physics signals using interpretable SemiSupervised classifier tests	2
Bayesian functional registration of fMRI activation maps	2
Modeling panels of extremes	2
Sequential modeling, monitoring, and forecasting of streaming web traffic 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
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
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
Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data	1
A compositional model to assess expression changes from single-cell RNA-seq data	1
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation	1
Accounting for smoking in forecasting mortality and life expectancy	1
Measuring performance for end-of-life care	1
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets	1
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction	1
An omnibus test for detection of subgroup treatment effects via data partitioning	1
Graph link prediction in computer networks using Poisson matrix factorisation	1
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data	1
Modeling the visibility distribution for respondent-driven sampling with application to population size estimation	1
Spatiotemporal satellite data imputation using sparse functional data analysis	1
Inferring food intake from multiple biomarkers using a latent variable model	1
Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon health insurance experiment	1
Estimating Covid-19 transmission time using Hawkes point processes	1
Detecting and modeling changes in a time series of proportions	1
Mining events with declassified diplomatic documents	1
Modelled approximations to the ideal filter with application to GDP and its components	1
Function-on-function regression for the identification of epigenetic regions exhibiting windows of susceptibility to environmental exposures	1
Estimating causal effects of HIV prevention interventions with interference in network-based studies among people who inject drugs	1
Estimating mode effects from a sequential mixed-mode experiment using structural moment models	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
Generative machine learning methods for multivariate ensemble postprocessing	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
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions	1
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data	1
Co-clustering of spatially resolved transcriptomic data	1
Functional concurrent regression with compositional covariates and its application to the time-varying effect of causes of death on human longevity	1
Sequentially valid tests for forecast calibration	1