Annals of Applied Statistics

Papers
(The TQCC of Annals of Applied Statistics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
The ASA president’s task force statement on statistical significance and replicability21
Orthogonal subsampling for big data linear regression20
Estimating global and country-specific excess mortality during the Covid-19 pandemic20
Log-contrast regression with functional compositional predictors: Linking preterm infants’ gut microbiome trajectories to neurobehavioral outcome19
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation18
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks15
Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory15
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic15
Inflection points in community-level homeless rates15
Causal inference from observational studies with clustered interference, with application to a cholera vaccine study14
Markov decision processes with dynamic transition probabilities: An analysis of shooting strategies in basketball14
Doubly robust treatment effect estimation with missing attributes14
Causal mediation analysis for sparse and irregular longitudinal data14
Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths13
High-fidelity hurricane surge forecasting using emulation and sequential experiments13
Testing for differential abundance in compositional counts data, with application to microbiome studies13
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model12
The assessment of replication success based on relative effect size12
Bayesian multistudy factor analysis for high-throughput biological data11
Stabilizing variable selection and regression11
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data11
Inference in Bayesian additive vector autoregressive tree models11
Estimation of cell lineage trees by maximum-likelihood phylogenetics11
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models11
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling11
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes11
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes11
Asymmetric tail dependence modeling, with application to cryptocurrency market data10
Feature selection for data integration with mixed multiview data10
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees10
A Bayesian time-varying effect model for behavioral mHealth data9
A semiparametric promotion time cure model with support vector machine9
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies9
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event9
The statistical performance of matching-adjusted indirect comparisons: Estimating treatment effects with aggregate external control data9
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis9
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data8
Hierarchical integrated spatial process modeling of monotone West Antarctic snow density curves8
Perturbed factor analysis: Accounting for group differences in exposure profiles8
Spike-and-slab Lasso biclustering8
Control charts for dynamic process monitoring with an application to air pollution surveillance8
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework8
Identifying main effects and interactions among exposures using Gaussian processes8
Modelling extremes of spatial aggregates of precipitation using conditional methods7
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model7
ALPHA: Audit that learns from previously hand-audited ballots7
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France7
Additive stacking for disaggregate electricity demand forecasting7
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling7
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys7
A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds7
Adaptive log-linear zero-inflated generalized Poisson autoregressive model with applications to crime counts7
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude6
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data6
Estimating the effects of a California gun control program with multitask Gaussian processes6
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging6
Tensor-variate finite mixture modeling for the analysis of university professor remuneration6
EDITORIAL: Statistical significance, P-values, and replicability6
The causal effect of a timeout at stopping an opposing run in the NBA6
Large-scale multivariate sparse regression with applications to UK Biobank6
Probabilistic forecasting of the Arctic sea ice edge with contour modeling6
Extended stochastic block models with application to criminal networks6
Qini-based uplift regression6
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring6
Statistical methods for replicability assessment6
Topological learning for brain networks6
Identifying overlapping terrorist cells from the Noordin Top actor–event network6
Joint and individual analysis of breast cancer histologic images and genomic covariates5
Clustering and forecasting multiple functional time series5
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models5
Targeting underrepresented populations in precision medicine: A federated transfer learning approach5
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities5
Partial-mastery cognitive diagnosis models5
Sequential Monte Carlo for sampling balanced and compact redistricting plans5
Causal inference for the effect of mobility on COVID-19 deaths5
A semiparametric mixture method for local false discovery rate estimation from multiple studies5
Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system5
Analysis of presence-only data via exact Bayes, with model and effects identification5
Modelling the sound production of narwhals using a point process framework with memory effects5
PTEM: A popularity-based topical expertise model for community question answering5
Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction5
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation5
Uncertainty quantification of a computer model for binary black hole formation5
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage5
Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery5
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling5
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors5
Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion5
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials5
Semi-supervised nonparametric Bayesian modelling of spatial proteomics5
Nonparametric Bayesian multiarmed bandits for single-cell experiment design5
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis5
Point process modeling of drug overdoses with heterogeneous and missing data5
Network differential connectivity analysis4
Analysing the causal effect of London cycle superhighways on traffic congestion4
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts4
Subgroup-effects models for the analysis of personal treatment effects4
Does terrorism trigger online hate speech? On the association of events and time series4
Tensor quantile regression with application to association between neuroimages and human intelligence4
A functional-data approach to the Argo data4
BayICE: A Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data4
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach4
Knockoffs with side information4
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data4
Multilevel time-series models for small area estimation at different frequencies and domain levels4
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey4
Joint integrative analysis of multiple data sources with correlated vector outcomes4
The role of scale in the estimation of cell-type proportions4
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data4
A Bayesian nonparametric approach to super-resolution single-molecule localization4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models4
Multistate capture–recapture models for irregularly sampled data4
In-game win probabilities for the National Rugby League4
Integrative statistical methods for exposure mixtures and health4
Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric rivers4
Matrix completion methods for the total electron content video reconstruction4
Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing4
Integrated Quantile RAnk Test (iQRAT) for gene-level associations4
Spatial functional data modeling of plant reflectances4
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide4
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 size3
Estrogen receptor expression on breast cancer patients’ survival under shape-restricted Cox regression model3
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial3
Leveraging Hardy–Weinberg disequilibrium for association testing in case-control studies3
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel3
Monotonic effects of characteristics on returns3
Contrastive latent variable modeling with application to case-control sequencing experiments3
Estimation of the marginal effect of antidepressants on body mass index under confounding and endogenous covariate-driven monitoring times3
Bayesian clustering of spatial functional data with application to a human mobility study during COVID-193
Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia3
An evaluation of statistical methods for aggregate patterns of replication failure3
An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling3
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study3
Mixture of hidden Markov models for accelerometer data3
Semiparametric multinomial mixed-effects models: A university students profiling tool3
Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference3
Pairwise nonlinear dependence analysis of genomic data3
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball3
Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data3
Discovering interactions using covariate informed random partition models3
Spatial distributed lag data fusion for estimating ambient air pollution3
Higher criticism for discriminating word-frequency tables and authorship attribution3
Identifying the recurrence of sleep apnea using a harmonic hidden Markov model3
Multiscale spectral modelling for nonstationary time series within an ordered multiple-trial experiment3
Bayesian joint modeling of chemical structure and dose response curves3
Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data3
Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure3
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects3
Dirichlet-tree multinomial mixtures for clustering microbiome compositions3
Bayesian inverse reinforcement learning for collective animal movement3
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics3
Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations3
Nested conformal prediction sets for classification with applications to probation data3
Hawkes binomial topic model with applications to coupled conflict-Twitter data3
Pan-disease clustering analysis of the trend of period prevalence3
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 surveys3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data3
Conex–Connect: Learning patterns in extremal brain connectivity from MultiChannel EEG data3
Detection of two-way outliers in multivariate data and application to cheating detection in educational tests3
A deep learning semiparametric regression for adjusting complex confounding structures3
Bayesian model selection: Application to the adjustment of fundamental physical constants3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth3
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