OOIR: Observatory of International Research

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 2021-03-01 to 2025-03-01.)

Article	Citations
Variational Bayesian analysis of nonhomogeneous hidden Markov models with long and ultralong sequences	21
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel	20
VCSEL: Prioritizing SNP-set by penalized variance component selection	20
Assessing treatment effect through compliance score in randomized trials with noncompliance	16
Association and causation: Attributes and effects of judges in equal employment opportunity commission litigation outcomes	16
Designing experiments for estimating an appropriate outlet size for a silo type problem	15
Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules	15
Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data	15
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support	13
Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data	13
TEAM: A multiple testing algorithm on the aggregation tree for flow cytometry analysis	12
BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV	12
Accounting for smoking in forecasting mortality and life expectancy	11
Bayesian multiple instance classification based on hierarchical probit regression	11
Robust causal inference for incremental return on ad spend with randomized paired geo experiments	11
Discovering interactions using covariate informed random partition models	11
Causal mediation analysis for sparse and irregular longitudinal data	11
Multilevel time-series models for small area estimation at different frequencies and domain levels	11
A bridging model to reconcile statistics based on data from multiple surveys	11
A behavioral approach to repeated Bayesian security games	11
Latent subgroup identification in image-on-scalar regression	10
Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA	10
Probabilistic HIV recency classification—a logistic regression without labeled individual level training data	10
Predictive inference for travel time on transportation networks	9
Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing	9

A compositional model to assess expression changes from single-cell RNA-seq data	9
Estimating Covid-19 transmission time using Hawkes point processes	9
Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains	9
Bayesian modeling of insurance claims for hail damage	8
Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions	8
Composite mixture of log-linear models with application to psychiatric studies	8
Clustering on the torus by conformal prediction	8
Robust sensible adversarial learning of deep neural networks for image classification	8
Inferring food intake from multiple biomarkers using a latent variable model	7
Point process modeling of drug overdoses with heterogeneous and missing data	7
The scalable birth–death MCMC algorithm for mixed graphical model learning with application to genomic data integration	7
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic	7
Hospital quality risk standardization via approximate balancing weights	7
A robust Bayesian meta-analysis for estimating the Hubble constant via time delay cosmography	7
Extended Beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh	7
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes	7
ALPHA: Audit that learns from previously hand-audited ballots	6
Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data	6
Spatiotemporal satellite data imputation using sparse functional data analysis	6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	6
Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach	6
Athlete rating in multicompetitor games with scored outcomes via monotone transformations	6
A Bayesian machine learning approach for estimating heterogeneous survivor causal effects: Applications to a critical care trial	6
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	6
Retrospective varying coefficient association analysis of longitudinal binary traits: Application to the identification of genetic loci associated with hypertension	6
Identification of influencing factors on self-reported count data with multiple potential inflated values	6
Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial	6
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts	6
Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution	6
Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada	5
Site occupancy and abundance models for analyzing multiple-visit detection/nondetection data	5
Surrogate method for partial association between mixed data with application to well-being survey analysis	5
Modeling curves and derivatives as predictors for traffic breakdown probabilities	5
Tensor-variate finite mixture modeling for the analysis of university professor remuneration	5
Extended stochastic block models with application to criminal networks	5
Pan-disease clustering analysis of the trend of period prevalence	5
Structured hierarchical models for probabilistic inference from perturbation screening data	5
Multiple latent clustering model for the inference of RNA life-cycle kinetic rates from sequencing data	5
Analysing the causal effect of London cycle superhighways on traffic congestion	5
Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data	5
Multiscale Poisson process approaches for detecting and estimating differences from high-throughput sequencing assays	5
Generative machine learning methods for multivariate ensemble postprocessing	5
Quantile regression decomposition analysis of disparity research using complex survey data: Application to disparities in BMI and telomere length between U.S. minority and white population groups	5
Knockoffs with side information	5
Nested conformal prediction sets for classification with applications to probation data	5
Spatio-temporal analysis of dependent risk with an application to cyberattacks data	5
Higher criticism for discriminating word-frequency tables and authorship attribution	5
Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records	5
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball	5
A flexible model for correlated count data, with application to multicondition differential expression analyses of single-cell RNA sequencing data	5

A latent variable approach for modeling relational data with multiple receivers	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
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics	5
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography	4
Causal inference for the effect of mobility on COVID-19 deaths	4
Social order statistics models for ranking data with analysis of preferences in social networks	4
In-game win probabilities for the National Rugby League	4
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	4
Multivariate mixed membership modeling: Inferring domain-specific risk profiles	4
Two-way sparsity for time-varying networks with applications in genomics	4
An omnibus test for detection of subgroup treatment effects via data partitioning	4
Multistate capture–recapture models for irregularly sampled data	4
Complex discontinuity designs using covariates: Impact of school grade retention on later life outcomes in Chile	4
Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome	4
Spatial voting models in circular spaces: A case study of the U.S. House of Representatives	4
Bayesian functional registration of fMRI activation maps	4
Two-stage circular-circular regression with zero inflation: Application to medical sciences	4
Prediction of hereditary cancers using neural networks	4
Estimating causal effects of HIV prevention interventions with interference in network-based studies among people who inject drugs	4
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size	4
Fitting stochastic epidemic models to gene genealogies using linear noise approximation	4
Graph link prediction in computer networks using Poisson matrix factorisation	4
A latent mixture model for heterogeneous causal mechanisms in Mendelian randomization	4
Estimating the effects of a California gun control program with multitask Gaussian processes	4
Leveraging population outcomes to improve the generalization of experimental results: Application to the JTPA study	4
Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data	4
Bayesian semiparametric long memory models for discretized event data	3
Continuous and atlas-free analysis of brain structural connectivity	3
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data	3
A novel framework to estimate multidimensional minimum effective doses using asymmetric posterior gain and ϵ-tapering	3
Applied regression analysis of correlations for correlated data	3
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness	3
Bayesian projections of total fertility rate conditional on the United Nations sustainable development goals	3
Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold	3
A simple and flexible test of sample exchangeability with applications to statistical genomics	3
Late 19th century navigational uncertainties and their influence on sea surface temperature estimates	3
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis	3
Probabilistic forecasting of the Arctic sea ice edge with contour modeling	3
Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data	3
Bayesian bi-clustering methods with applications in computational biology	3
Hierarchical Bayesian modeling of ocean heat content and its uncertainty	3
Integrating Mendelian randomization with causal mediation analyses for characterizing direct and indirect exposure-to-outcome effects	3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth	3
Dimensions, power and factors in an observational study of behavioral problems after physical abuse of children	3
Joint modeling of multistate and nonparametric multivariate longitudinal data	3
Selective inference for sparse multitask regression with applications in neuroimaging	3
Preelectoral polls variability: A hierarchical Bayesian model to assess the role of house effects with application to Italian elections	3
The Bayesian nested lasso for mixed frequency regression models	3
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging	3
Estimating mode effects from a sequential mixed-mode experiment using structural moment models	3
A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data	3
Network differential connectivity analysis	3
Graph-aware modeling of brain connectivity networks	3
Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data	3
Assessing aquatic toxicity assessment via a clustered variance model	3
Weighted biomarker variability in joint analysis of longitudinal and time-to-event data	3
Diagnosis-group-specific transitional care program recommendations for 30-day rehospitalization reduction	3
A novel estimator of Earth’s curvature (Allowing for inference as well)	3
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology	3
Sequentially valid tests for forecast calibration	3
Improved inference on risk measures for univariate extremes	3
Sequential Monte Carlo for sampling balanced and compact redistricting plans	3
Joint stochastic simulation of extreme coastal and offshore significant wave heights	3
Bayesian model selection: Application to the adjustment of fundamental physical constants	3
Modeling panels of extremes	3
Bayesian inference and dynamic prediction for multivariate longitudinal and survival data	3
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation	3