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 2020-04-01 to 2024-04-01.)
ArticleCitations
Bayesian variable selection for survival data using inverse moment priors19
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation18
The ASA president’s task force statement on statistical significance and replicability18
Orthogonal subsampling for big data linear regression17
The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments17
A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet16
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic15
Estimating global and country-specific excess mortality during the Covid-19 pandemic15
Log-contrast regression with functional compositional predictors: Linking preterm infants’ gut microbiome trajectories to neurobehavioral outcome15
Doubly robust treatment effect estimation with missing attributes13
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks13
Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation13
Markov decision processes with dynamic transition probabilities: An analysis of shooting strategies in basketball12
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model12
Inflection points in community-level homeless rates12
Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory12
Seasonal warranty prediction based on recurrent event data12
High-fidelity hurricane surge forecasting using emulation and sequential experiments12
Causal mediation analysis for sparse and irregular longitudinal data12
Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths12
Bayesian multistudy factor analysis for high-throughput biological data11
A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging11
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes11
Function-on-scalar quantile regression with application to mass spectrometry proteomics data10
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data10
Feature selection for data integration with mixed multiview data10
Causal inference from observational studies with clustered interference, with application to a cholera vaccine study10
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling10
Estimation of cell lineage trees by maximum-likelihood phylogenetics10
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models10
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event9
The assessment of replication success based on relative effect size9
Stabilizing variable selection and regression9
A Bayesian time-varying effect model for behavioral mHealth data9
Identifying main effects and interactions among exposures using Gaussian processes8
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees8
Testing for differential abundance in compositional counts data, with application to microbiome studies8
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework8
The statistical performance of matching-adjusted indirect comparisons: Estimating treatment effects with aggregate external control data8
Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model7
Adaptive log-linear zero-inflated generalized Poisson autoregressive model with applications to crime counts7
Inference in Bayesian additive vector autoregressive tree models7
Baseline drift estimation for air quality data using quantile trend filtering7
ALPHA: Audit that learns from previously hand-audited ballots7
Spike-and-slab Lasso biclustering7
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies7
Tensor-variate finite mixture modeling for the analysis of university professor remuneration6
Focused model selection for linear mixed models with an application to whale ecology6
Perturbed factor analysis: Accounting for group differences in exposure profiles6
A global-local approach for detecting hotspots in multiple-response regression6
Torus graphs for multivariate phase coupling analysis6
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes6
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys6
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude6
Asymmetric tail dependence modeling, with application to cryptocurrency market data6
Hierarchical integrated spatial process modeling of monotone West Antarctic snow density curves6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling6
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis6
A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds6
Statistical methods for replicability assessment6
Modelling the sound production of narwhals using a point process framework with memory effects5
Joint and individual analysis of breast cancer histologic images and genomic covariates5
A semiparametric promotion time cure model with support vector machine5
Probabilistic forecasting of the Arctic sea ice edge with contour modeling5
Uncertainty quantification of a computer model for binary black hole formation5
Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery5
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models5
Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction5
Causal inference for the effect of mobility on COVID-19 deaths5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage5
EDITORIAL: Statistical significance, P-values, and replicability5
Modelling extremes of spatial aggregates of precipitation using conditional methods5
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring5
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities5
Control charts for dynamic process monitoring with an application to air pollution surveillance5
Identifying overlapping terrorist cells from the Noordin Top actor–event network5
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation4
Extended stochastic block models with application to criminal networks4
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis4
Does terrorism trigger online hate speech? On the association of events and time series4
The causal effect of a timeout at stopping an opposing run in the NBA4
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling4
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation4
Estimation and inference in metabolomics with nonrandom missing data and latent factors4
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models4
A semiparametric mixture method for local false discovery rate estimation from multiple studies4
Topological learning for brain networks4
Point process modeling of drug overdoses with heterogeneous and missing data4
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data4
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France4
Clustering and forecasting multiple functional time series4
Additive stacking for disaggregate electricity demand forecasting4
A functional-data approach to the Argo data4
Nonparametric Bayesian multiarmed bandits for single-cell experiment design4
Partial-mastery cognitive diagnosis models4
Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model4
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model4
Multilevel time-series models for small area estimation at different frequencies and domain levels4
Network differential connectivity analysis4
An efficient and computationally robust statistical method for analyzing case-control mother–offspring pair genetic association studies4
Qini-based uplift regression4
Matrix completion methods for the total electron content video reconstruction4
Multistate capture–recapture models for irregularly sampled data4
PTEM: A popularity-based topical expertise model for community question answering4
In-game win probabilities for the National Rugby League4
Sequential importance sampling for multiresolution Kingman–Tajima coalescent counting4
Integrative statistical methods for exposure mixtures and health4
An evaluation of statistical methods for aggregate patterns of replication failure3
Dirichlet-tree multinomial mixtures for clustering microbiome compositions3
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics3
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel3
Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric rivers3
Robust causal inference for incremental return on ad spend with randomized paired geo experiments3
A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matter3
A bridging model to reconcile statistics based on data from multiple surveys3
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 proportions3
Semi-supervised nonparametric Bayesian modelling of spatial proteomics3
Bayesian joint modeling of chemical structure and dose response curves3
Integrated Quantile RAnk Test (iQRAT) for gene-level associations3
Accounting for uncertainty about past values in probabilistic projections of the total fertility rate for most countries3
Mixture of hidden Markov models for accelerometer data3
Contrastive latent variable modeling with application to case-control sequencing experiments3
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball3
Leveraging Hardy–Weinberg disequilibrium for association testing in case-control studies3
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts3
Monotonic effects of characteristics on returns3
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data3
An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling3
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials3
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach3
Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data3
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth3
Nested conformal prediction sets for classification with applications to probation data3
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey3
Discovering interactions using covariate informed random partition models3
Analysis of presence-only data via exact Bayes, with model and effects identification3
Analyses of preventive care measures with incomplete historical data in electronic medical records: An example from colorectal cancer screening3
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors3
Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing3
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data3
A deep learning semiparametric regression for adjusting complex confounding structures3
Detection of two-way outliers in multivariate data and application to cheating detection in educational tests3
0.032274961471558