Annals of Applied Statistics

Article	Citations
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support	40
Composite mixture of log-linear models with application to psychiatric studies	33
Factor-assisted learning of ultrahigh-dimensional covariates with distributed functional and scalar mixtures with applications to the Avon Longitudinal Study of Parents and Children	28
Predicting gender employment discrepancies: A multivariate Fay-Herriot model for transformed proportions	26
Multilevel time-series models for small area estimation at different frequencies and domain levels	25
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization	23
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution	23
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data	23
ALPHA: Audit that learns from previously hand-audited ballots	23
Inferring synergistic and antagonistic interactions in mixtures of exposures	23
Graph link prediction in computer networks using Poisson matrix factorisation	22
Control charts for dynamic process monitoring with an application to air pollution surveillance	20
Latent space modeling for human disease network with temporal variations: Analysis of medicare data	19
Statistical matching and subclassification with a continuous dose: Characterization, algorithm, and application to a health outcomes study	18
Modeling panels of extremes	18
The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets	18
Sequential Monte Carlo for sampling balanced and compact redistricting plans	18
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	17
Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging	13
On the fair comparison of optimization algorithms in different machines	13
A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV	13
Disentangling the structure of ecological bipartite networks from observation processes	12
PoD-BIN: A probability of decision Bayesian interval design for time-to-event dose-finding trials with multiple toxicity grades	12
Marginally calibrated response distributions for end-to-end learning in autonomous driving	12
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies	12

Semiparametric linear regression with an interval-censored covariate in the atherosclerosis risk in communities study	12
A privacy-preserved and high-utility synthesis strategy for risk-based stratified subgroups of the Canadian scleroderma patient registry data	12
Risk set matched difference-in-differences for the analysis of effect modification in an observational study on the impact of gun violence on health outcomes	12
Identifying peer influence in therapeutic communities adjusting for latent homophily	12
Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design	12
A data envelopment analysis approach for assessing fairness in resource allocation: Application to kidney exchange programs	11
Inference for stochastic kinetic models from multiple data sources for joint estimation of infection dynamics from aggregate reports and virological data	11
Data-driven chimney fire risk prediction using machine learning and point process tools	11
Markov-modulated Hawkes processes for modeling sporadic and bursty event occurrences in social interactions	10
Flexible multivariate spatiotemporal Hawkes process models of terrorism	10
Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome	10
Real-time mechanistic Bayesian forecasts of COVID-19 mortality	10
Probabilistic inversion modeling of gas emissions: A gradient-based MCMC estimation of Gaussian plume parameters	10
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression	10
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials	10
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	10
Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis	9
ANOPOW for replicated nonstationary time series in experiments	9
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions	9
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression	9
Averaging polyhazard models using Piecewise deterministic Monte Carlo with applications to data with long-term survivors	9
An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer’s clinical trial	9
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data	9
DeepMap: Deep learning-based single-cell data integration using iterative cell matching and structure preservation constraints	9
Modeling structure and country-specific heterogeneity in misclassification matrices of verbal autopsy-based cause of death classifiers	8
Tensor quantile regression with low-rank tensor train estimation	8
Continuous-time modelling of behavioural responses in animal movement	8
Bayesian image-on-image regression via deep kernel learning based Gaussian processes	8
Varying impacts of letters of recommendation on college admissions	8
Integrative learning of linear non-Gaussian directed acyclic graphs with application on multisource gene regulatory network analysis	8
EBiCop: Ensemble bivariate copulas for modeling multivariate cyber data breach risks	8
Latent level correlation modeling of multivariate discrete-valued financial time series	8
Simple macroeconomic forecast distributions for the G7 economies	8
Clustering and meta-analysis using a mixture of dependent linear tail-free priors	8
Generalized theme dictionary models for association pattern discovery	7
An extension of estimating equations to model longitudinal medical cost trajectory with Medicare claims data linked to SEER cancer registry	7
Modelling extremes of spatial aggregates of precipitation using conditional methods	7
Corrigendum Modeling biomarker ratios with gamma distributed components	7
Early effects of 2014 U.S. Medicaid expansions on mortality: Design-based inference for impacts on small subgroups despite small-cell suppression	7
Supervised learning of outcome-relevant items from a questionnaire via mixed integer optimization	7
Postelection analysis of presidential election/poll data	7
Endogeneity and moments in time series momentum’s predictability test	7
Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error	7
Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity	7
Multiple imputation of hierarchical nonlinear time series data with an application to school enrollment data	7
Readability prediction: How many features are necessary?	7
Pairwise nonlinear dependence analysis of genomic data	7
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk	7
Matrix completion methods for the total electron content video reconstruction	7
Ranking and selection in large-scale inference of heteroscedastic units	7

Estimating COVID-19 vaccine protection rates via dynamic epidemiological models—a study of 10 countries	7
Comparing baseball players across eras via novel Full House Modeling	7
Using proxies to improve forecast evaluation	7
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules	6
Outcome-guided disease subtyping by generative model and weighted joint likelihood in transcriptomic applications	6
Temporal network influence model with application to the COVID-19 population flow network	6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	6
Model-free inference for characterizing protein mutations through a coevolutionary lens	6
Nested conformal prediction sets for classification with applications to probation data	6
Assessing treatment effect through compliance score in randomized trials with noncompliance	6
A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions	6
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	6
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship	6
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial	6
Neural posterior estimation with autoregressive tiling for detecting objects in astronomical images	6
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	6
Exploring spatiotemporal variation in Covid-19 waves: Non-Euclidean spatially aware functional registration	6
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes	6
Communication network dynamics in a large organizational hierarchy	6
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data	6
Functional clustering for longitudinal associations between social determinants of health and stroke mortality in the U.S.	6
Design-based inference for spatial experiments under unknown interference	6
Estimating Covid-19 transmission time using Hawkes point processes	6
A latent variable approach for modeling relational data with multiple receivers	6
Estimating product cannibalisation in wholesale using multivariate Hawkes processes with inhibition	5
Assessing aquatic toxicity assessment via a clustered variance model	5
Nonparametric causal decomposition of group disparities	5
A Bayesian record linkage approach to applications in tree demography using overlapping LiDAR scans	5
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold	5
Tensor regression for incomplete observations with application to longitudinal studies	5
Bayesian model selection: Application to the adjustment of fundamental physical constants	5
Network differential connectivity analysis	5
Improved inference on risk measures for univariate extremes	5
Latent subgroup identification in image-on-scalar regression	5
Flexible instrumental variable models with Bayesian additive regression trees	5
Individual dynamic prediction for cure and survival based on longitudinal biomarkers	5
Contrastive latent variable modeling with application to case-control sequencing experiments	5
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints	5
Causal inference for the effect of mobility on COVID-19 deaths	5
Knockoffs with side information	5
Graph-aware modeling of brain connectivity networks	5
Joint stochastic simulation of extreme coastal and offshore significant wave heights	5
Deconvolution analysis of spatial transcriptomics by multiplicative-additive Poisson-gamma models	5
Semiparametric estimation for dynamic networks with shifted connecting intensities	5
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile	5
Distributed subsampling and quasi decorrelated score for cluster data: An application to Beijing multisite air quality	5
Spatial predictions on physically constrained domains: Applications to Arctic sea salinity data	5
Heaping and seeping, GAITD regression and doubly constrained reduced-rank vector generalized linear models in smoking studies	5
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects	5
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images	5
Neural networks for extreme quantile regression with an application to forecasting of flood risk	5
Modeling animal movement with directional persistence and attractive points	4
Are made and missed different? An analysis of field goal attempts of professional basketball players via depth based testing procedure	4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	4
Model-robust Bayesian design through generalised additive models for monitoring submerged shoals	4
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	4
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare	4
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	4
Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms	4
Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league	4
Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling	4
Functional factor modeling of brain connectivity	4
Learn then test: Calibrating predictive algorithms to achieve risk control	4
Network-based modeling of emotional expressions for multiple cancers via a linguistic analysis of an online health community	4
A high-dimensional approach to measure connectivity in the financial sector	4
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak	4
Nonparametric additive value functions: Interpretable reinforcement learning with an application to surgical recovery	4
Heterogeneous network analysis of disease clinical treatment measures via mining electronic medical record data	4
Learning common structures in a collection of networks. An application to food webs	4
Design-based mapping of land use/land cover classes with bootstrap estimation of precision by nearest-neighbour interpolation	4
Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation	4
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study	4
Statistical curve models for inferring 3D chromatin architecture	4
Estimation of Gaussian directed acyclic graphs using partial ordering information with applications to DREAM3 networks and dairy cattle data	4
Structure learning for zero-inflated counts with an application to single-cell RNA sequencing data	4
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data	4
Measuring information transfer between nodes in a brain network through spectral transfer entropy	4
Bayesian learning of clinically meaningful sepsis phenotypes in northern Tanzania	4
Multimodel ensemble analysis with neural network Gaussian processes	4
Bayesian inference for partial orders from random linear extensions: Power relations from 12th century royal acta	4

Spatial functional data modeling of plant reflectances	4
Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains	4
Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects	4
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	4
Sparse block signal detection and identification for shared cross-trait association analysis	4
What makes forest-based heterogeneous treatment effect estimators work?	4
Do forecasts of bankruptcy cause bankruptcy? A machine learning sensitivity analysis	4
A Riemann manifold model framework for longitudinal changes in physical activity patterns	4
A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer	4
The properties of covariate-adaptive randomization procedures with possibly unequal allocation ratio	4
Random forests and mixed effects random forests for small area estimation of general parameters: A poverty mapping case study in Mozambique	4
Ice model calibration using semicontinuous spatial data	4