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 2022-01-01 to 2026-01-01.)
ArticleCitations
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support35
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data26
Composite mixture of log-linear models with application to psychiatric studies23
Inferring synergistic and antagonistic interactions in mixtures of exposures23
ALPHA: Audit that learns from previously hand-audited ballots22
Factor-assisted learning of ultrahigh-dimensional covariates with distributed functional and scalar mixtures with applications to the Avon Longitudinal Study of Parents and Children22
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution19
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions18
Multilevel time-series models for small area estimation at different frequencies and domain levels18
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data17
Dirichlet-tree multinomial mixtures for clustering microbiome compositions17
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets17
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study17
Graph link prediction in computer networks using Poisson matrix factorisation16
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization16
Sequential Monte Carlo for sampling balanced and compact redistricting plans16
Control charts for dynamic process monitoring with an application to air pollution surveillance16
Modeling panels of extremes15
DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints15
Flexible multivariate spatiotemporal Hawkes process models of terrorism14
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression12
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome12
On the fair comparison of optimization algorithms in different machines12
Identifying peer influence in therapeutic communities adjusting for latent homophily12
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes11
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV11
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study11
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging11
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data11
Disentangling the structure of ecological bipartite networks from observation processes10
Real-time mechanistic Bayesian forecasts of COVID-19 mortality10
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions10
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades10
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions10
Probabilistic inversion modeling of gas emissions: A gradient-based MCMC estimation of Gaussian plume parameters10
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design10
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data10
Marginally calibrated response distributions for end-to-end learning in autonomous driving10
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks9
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials9
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis9
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies9
Latent level correlation modeling of multivariate discrete-valued financial time series9
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data9
Data-driven chimney fire risk prediction using machine learning and point process tools9
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial8
Varying impacts of letters of recommendation on college admissions8
Clustering and meta-analysis using a mixture of dependent linear tail-free priors8
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers8
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data8
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression8
Corrigendum Modeling biomarker ratios with gamma distributed components7
Continuous-time modelling of behavioural responses in animal movement7
Generalized theme dictionary models for association pattern discovery7
Pairwise nonlinear dependence analysis of genomic data7
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis7
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error7
Matrix completion methods for the total electron content video reconstruction7
Simple macroeconomic forecast distributions for the G7 economies7
Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors7
Postelection analysis of presidential election/poll data7
Modelling extremes of spatial aggregates of precipitation using conditional methods7
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk7
Using proxies to improve forecast evaluation7
ANOPOW for replicated nonstationary time series in experiments7
Tensor quantile regression with low-rank tensor train estimation7
Endogeneity and moments in time series momentum’s predictability test7
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry7
Readability prediction: How many features are necessary?7
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity6
Communication network dynamics in a large organizational hierarchy6
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications6
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data6
Supervised learning of outcome-relevant items from a questionnaire via mixed integer optimization6
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries6
Multiple imputation of hierarchical nonlinear time series data with an application to school enrollment data6
Exploring spatiotemporal variation in Covid-19 waves: Non-Euclidean spatially aware functional registration6
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules6
Comparing baseball players across eras via novel Full House Modeling6
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression6
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship6
Assessing treatment effect through compliance score in randomized trials with noncompliance6
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes6
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile5
Contrastive latent variable modeling with application to case-control sequencing experiments5
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial5
Distributed subsampling and quasi decorrelated score for cluster data: An application to Beijing multisite air quality5
Nested conformal prediction sets for classification with applications to probation data5
Design-based inference for spatial experiments under unknown interference5
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models5
A Bayesian record linkage approach to applications in tree demography using overlapping LiDAR scans5
Assessing aquatic toxicity assessment via a clustered variance model5
Flexible instrumental variable models with Bayesian additive regression trees5
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling5
Nonparametric causal decomposition of group disparities5
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers5
A latent variable approach for modeling relational data with multiple receivers5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.5
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition5
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints5
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis5
Estimating Covid-19 transmission time using Hawkes point processes5
Temporal network influence model with application to the COVID-19 population flow network5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage5
Latent subgroup identification in image-on-scalar regression5
Bayesian model selection: Application to the adjustment of fundamental physical constants5
Tensor regression for incomplete observations with application to longitudinal studies5
Semiparametric estimation for dynamic networks with shifted connecting intensities5
Learning common structures in a collection of networks. An application to food webs4
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data4
Graph-aware modeling of brain connectivity networks4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles4
Improved inference on risk measures for univariate extremes4
Causal inference for the effect of mobility on COVID-19 deaths4
Modeling animal movement with directional persistence and attractive points4
Bayesian learning of clinically meaningful sepsis phenotypes in northern Tanzania4
Multimodel ensemble analysis with neural network Gaussian processes4
What makes forest-based heterogeneous treatment effect estimators work?4
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains4
Measuring information transfer between nodes in a brain network through spectral transfer entropy4
Neural networks for extreme quantile regression with an application to forecasting of flood risk4
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling4
Knockoffs with side information4
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects4
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images4
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data4
Learn then test: Calibrating predictive algorithms to achieve risk control4
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak4
Sparse block signal detection and identification for shared cross-trait association analysis4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data4
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals4
Spatial functional data modeling of plant reflectances4
Joint stochastic simulation of extreme coastal and offshore significant wave heights4
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer4
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data4
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold4
Network differential connectivity analysis4
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects4
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation4
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure4
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring4
A high-dimensional approach to measure connectivity in the financial sector4
Heaping and seeping, GAITD regression and doubly constrained reduced-rank vector generalized linear models in smoking studies4
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare4
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks3
Analysis of presence-only data via exact Bayes, with model and effects identification3
A Bayesian accelerated failure time model for interval censored three-state screening outcomes3
Is the price cap for gas useful? Evidence from European countries3
Doubly-online changepoint detection for monitoring health status during sports activities3
Subgroup identification and variable selection for treatment decision making3
Functional factor modeling of brain connectivity3
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data3
Media bias and polarization through the lens of a Markov switching latent space network model3
Statistical curve models for inferring 3D chromatin architecture3
Analyzing environmental bioassays with spatial odds, risk, and survival probability ratio regressions3
Ice model calibration using semicontinuous spatial data3
A spatial autoregressive random forest algorithm for small-area spatial prediction3
Varying coefficients correlated velocity models in complex landscapes with boundaries applied to narwhal responses to noise exposure3
The causal effect of a timeout at stopping an opposing run in the NBA3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity3
Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data3
A functional-data approach to the Argo data3
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome3
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data3
Binned multinomial logistic regression for integrative cell-type annotation3
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study3
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta3
Averaged Prediction Models (APM): Identifying causal effects in controlled pre-post settings with application to gun policy3
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio3
Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys3
Semiparametric bivariate hierarchical state space model with application to hormone circadian relationship3
Joint modeling for learning decision-making dynamics in behavioral experiments3
Bayesian Cox regression for large-scale inference with applications to electronic health records3
Bivariate hierarchical Bayesian model for combining summary measures and their uncertainties from multiple sources3
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league3
Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency3
Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population3
A Bayesian hierarchical model for combining multiple data sources in population size estimation3
Modeling trajectories using functional linear differential equations3
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance3
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data3
Network-based modeling of emotional expressions for multiple cancers via a linguistic analysis of an online health community3
A Riemann manifold model framework for longitudinal changes in physical activity patterns3
A deep neural network two-part model and feature importance test for semicontinuous data3
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis3
Permutation tests under a rotating sampling plan with clustered data3
Network-level traffic flow prediction: Functional time series vs. functional neural network approach3
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data3
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies3
0.17533802986145