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 2021-08-01 to 2025-08-01.)
ArticleCitations
Composite mixture of log-linear models with application to psychiatric studies32
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support30
Inferring synergistic and antagonistic interactions in mixtures of exposures28
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data23
Multilevel time-series models for small area estimation at different frequencies and domain levels19
ALPHA: Audit that learns from previously hand-audited ballots19
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel18
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution18
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions17
Analysing the causal effect of London cycle superhighways on traffic congestion16
Dirichlet-tree multinomial mixtures for clustering microbiome compositions15
Graph link prediction in computer networks using Poisson matrix factorisation15
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study15
Uncertainty quantification of a computer model for binary black hole formation15
Modeling panels of extremes14
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets14
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data13
Sequential Monte Carlo for sampling balanced and compact redistricting plans13
Marginally calibrated response distributions for end-to-end learning in autonomous driving13
Control charts for dynamic process monitoring with an application to air pollution surveillance13
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization13
Zero-inflated quantile rank-score based test (ZIQRank) with application to scRNA-seq differential gene expression analysis13
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions12
On the fair comparison of optimization algorithms in different machines11
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies11
Partial-mastery cognitive diagnosis models10
Unsupervised streaming anomaly detection for instrumented infrastructure10
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data10
DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints10
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome10
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV9
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes9
Identifying peer influence in therapeutic communities adjusting for latent homophily9
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades9
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data9
Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study9
Disentangling the structure of ecological bipartite networks from observation processes9
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging8
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions8
Flexible multivariate spatiotemporal Hawkes process models of terrorism8
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design8
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data8
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression8
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials8
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model8
Real-time mechanistic Bayesian forecasts of COVID-19 mortality8
Data-driven chimney fire risk prediction using machine learning and point process tools8
Generalized theme dictionary models for association pattern discovery7
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers7
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis7
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial7
Continuous-time modelling of behavioural responses in animal movement7
Postelection analysis of presidential election/poll data7
Tensor quantile regression with low-rank tensor train estimation7
Varying impacts of letters of recommendation on college admissions7
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data7
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression7
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk7
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks7
ANOPOW for replicated nonstationary time series in experiments7
Latent level correlation modeling of multivariate discrete-valued financial time series7
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error6
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis6
Endogeneity and moments in time series momentum’s predictability test6
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications6
Using proxies to improve forecast evaluation6
Communication network dynamics in a large organizational hierarchy6
Corrigendum Modeling biomarker ratios with gamma distributed components6
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models6
Pairwise nonlinear dependence analysis of genomic data6
Readability prediction: How many features are necessary?6
Comparing baseball players across eras via novel Full House Modeling6
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries6
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship6
Modelling extremes of spatial aggregates of precipitation using conditional methods6
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry6
Matrix completion methods for the total electron content video reconstruction6
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity6
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression6
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis6
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions5
Semiparametric estimation for dynamic networks with shifted connecting intensities5
A latent variable approach for modeling relational data with multiple receivers5
Pan-disease clustering analysis of the trend of period prevalence5
Latent subgroup identification in image-on-scalar regression5
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling5
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers5
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.5
Assessing aquatic toxicity assessment via a clustered variance model5
Assessing treatment effect through compliance score in randomized trials with noncompliance5
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes5
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
Nonparametric causal decomposition of group disparities5
Contrastive latent variable modeling with application to case-control sequencing experiments5
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules5
Nested conformal prediction sets for classification with applications to probation data5
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data5
Design-based inference for spatial experiments under unknown interference5
Estimating Covid-19 transmission time using Hawkes point processes5
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold4
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile4
Bayesian model selection: Application to the adjustment of fundamental physical constants4
Joint stochastic simulation of extreme coastal and offshore significant wave heights4
Network differential connectivity analysis4
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery4
Multimodel ensemble analysis with neural network Gaussian processes4
A high-dimensional approach to measure connectivity in the financial sector4
Bayesian joint modeling of chemical structure and dose response curves4
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects4
Spatial functional data modeling of plant reflectances4
Neural networks for extreme quantile regression with an application to forecasting of flood risk4
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models4
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data4
Graph-aware modeling of brain connectivity networks4
Tensor regression for incomplete observations with application to longitudinal studies4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles4
Learn then test: Calibrating predictive algorithms to achieve risk control4
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data4
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation4
Learning common structures in a collection of networks. An application to food webs4
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains4
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images4
Improved inference on risk measures for univariate extremes4
Flexible instrumental variable models with Bayesian additive regression trees4
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints4
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects4
Causal inference for the effect of mobility on COVID-19 deaths4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation4
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals4
Knockoffs with side information4
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer4
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data3
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation3
Identifying boundaries in spatially continuous risk surfaces from spatially aggregated disease count data3
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks3
A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies3
A Bayesian accelerated failure time model for interval censored three-state screening outcomes3
Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data3
Bayesian Cox regression for large-scale inference with applications to electronic health records3
Statistical curve models for inferring 3D chromatin architecture3
Estimating the average treatment effect in randomized clinical trials with all-or-none compliance3
A Riemann manifold model framework for longitudinal changes in physical activity patterns3
Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome3
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak3
Ice model calibration using semicontinuous spatial data3
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models3
Markov random field models for vector-based representations of landscapes3
Predicting competitions by combining conditional logistic regression and subjective Bayes: An Academy Awards case study3
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta3
Analysis of presence-only data via exact Bayes, with model and effects identification3
Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population3
Doubly-online changepoint detection for monitoring health status during sports activities3
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study3
A Bayesian hierarchical model for combining multiple data sources in population size estimation3
Modeling animal movement with directional persistence and attractive points3
Improving exoplanet detection power: Multivariate Gaussian process models for stellar activity3
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring3
A spatial autoregressive random forest algorithm for small-area spatial prediction3
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data3
What makes forest-based heterogeneous treatment effect estimators work?3
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data3
A functional-data approach to the Argo data3
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis3
Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys3
Functional factor modeling of brain connectivity3
Qini-based uplift regression3
Is the price cap for gas useful? Evidence from European countries3
The causal effect of a timeout at stopping an opposing run in the NBA3
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio3
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
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure3
Network-level traffic flow prediction: Functional time series vs. functional neural network approach3
Sparse block signal detection and identification for shared cross-trait association analysis3
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