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 2020-05-01 to 2024-05-01.)

Article	Citations
Bayesian variable selection for survival data using inverse moment priors	19
The ASA president’s task force statement on statistical significance and replicability	18
Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation	18
The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments	17
Log-contrast regression with functional compositional predictors: Linking preterm infants’ gut microbiome trajectories to neurobehavioral outcome	17
Orthogonal subsampling for big data linear regression	17
A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet	16
Estimating global and country-specific excess mortality during the Covid-19 pandemic	15
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic	15
Doubly robust treatment effect estimation with missing attributes	13
Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation	13
Spatiotemporal wildfire modeling through point processes with moderate and extreme marks	13
Causal mediation analysis for sparse and irregular longitudinal data	13
Climate extreme event attribution using multivariate peaks-over-thresholds modeling and counterfactual theory	13
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model	12
Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths	12
Seasonal warranty prediction based on recurrent event data	12
High-fidelity hurricane surge forecasting using emulation and sequential experiments	12
A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging	12
Inflection points in community-level homeless rates	12
Markov decision processes with dynamic transition probabilities: An analysis of shooting strategies in basketball	12
A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes	11
Causal inference from observational studies with clustered interference, with application to a cholera vaccine study	11
Bayesian multistudy factor analysis for high-throughput biological data	11
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling	10

Feature selection for data integration with mixed multiview data	10
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models	10
The assessment of replication success based on relative effect size	10
Estimation of cell lineage trees by maximum-likelihood phylogenetics	10
Function-on-scalar quantile regression with application to mass spectrometry proteomics data	10
Approximate Bayesian inference for analysis of spatiotemporal flood frequency data	10
Testing for differential abundance in compositional counts data, with application to microbiome studies	9
A Bayesian time-varying effect model for behavioral mHealth data	9
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event	9
Stabilizing variable selection and regression	9
Spike-and-slab Lasso biclustering	8
The statistical performance of matching-adjusted indirect comparisons: Estimating treatment effects with aggregate external control data	8
Baseline drift estimation for air quality data using quantile trend filtering	8
Efficient Bayesian inference of general Gaussian models on large phylogenetic trees	8
Estimating animal utilization distributions from multiple data types: A joint spatiotemporal point process framework	8
Identifying main effects and interactions among exposures using Gaussian processes	8
Inference in Bayesian additive vector autoregressive tree models	7
Asymmetric tail dependence modeling, with application to cryptocurrency market data	7
ALPHA: Audit that learns from previously hand-audited ballots	7
Compression of climate simulations with a nonstationary global SpatioTemporal SPDE model	7
Hierarchical integrated spatial process modeling of monotone West Antarctic snow density curves	7
Adaptive log-linear zero-inflated generalized Poisson autoregressive model with applications to crime counts	7
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis	7
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies	7
Statistical methods for replicability assessment	6
Tensor-variate finite mixture modeling for the analysis of university professor remuneration	6
Focused model selection for linear mixed models with an application to whale ecology	6
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude	6
A global-local approach for detecting hotspots in multiple-response regression	6
Control charts for dynamic process monitoring with an application to air pollution surveillance	6
Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling	6
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data	6
A regression discontinuity design for ordinal running variables: Evaluating central bank purchases of corporate bonds	6
Torus graphs for multivariate phase coupling analysis	6
Probabilistic forecasting of the Arctic sea ice edge with contour modeling	6
A statistical pipeline for identifying physical features that differentiate classes of 3D shapes	6
Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys	6
Perturbed factor analysis: Accounting for group differences in exposure profiles	6
Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring	6
Co-clustering of multivariate functional data for the analysis of air pollution in the South of France	5
Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery	5
Joint and individual analysis of breast cancer histologic images and genomic covariates	5
Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction	5
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model	5
Causal inference for the effect of mobility on COVID-19 deaths	5
Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model	5
Clustering and forecasting multiple functional time series	5
EDITORIAL: Statistical significance, P-values, and replicability	5
Nonparametric importance sampling for wind turbine reliability analysis with stochastic computer models	5
RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities	5

Uncertainty quantification of a computer model for binary black hole formation	5
Point process modeling of drug overdoses with heterogeneous and missing data	5
Identifying overlapping terrorist cells from the Noordin Top actor–event network	5
Modelling the sound production of narwhals using a point process framework with memory effects	5
A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matter	5
Modelling extremes of spatial aggregates of precipitation using conditional methods	5
A semiparametric promotion time cure model with support vector machine	5
Topological learning for brain networks	5
Computationally efficient Bayesian unit-level models for non-Gaussian data under informative sampling with application to estimation of health insurance coverage	5
Estimation and inference in metabolomics with nonrandom missing data and latent factors	4
Extended stochastic block models with application to criminal networks	4
Semi-supervised nonparametric Bayesian modelling of spatial proteomics	4
Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials	4
Network differential connectivity analysis	4
Optimal sampling designs for multidimensional streaming time series with application to power grid sensor data	4
In-game win probabilities for the National Rugby League	4
Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling	4
The causal effect of a timeout at stopping an opposing run in the NBA	4
PTEM: A popularity-based topical expertise model for community question answering	4
Heterogeneous causal effects with imperfect compliance: A Bayesian machine learning approach	4
Integrative statistical methods for exposure mixtures and health	4
Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models	4
How many refugees and migrants died trying to reach Europe? Joint population size and total estimation	4
Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis	4
Nonparametric Bayesian multiarmed bandits for single-cell experiment design	4
Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging	4
Does terrorism trigger online hate speech? On the association of events and time series	4
Qini-based uplift regression	4
Additive stacking for disaggregate electricity demand forecasting	4
Bayesian multivariate sparse functional principal components analysis with application to longitudinal microbiome multiomics data	4
A semiparametric mixture method for local false discovery rate estimation from multiple studies	4
Sequential importance sampling for multiresolution Kingman–Tajima coalescent counting	4
Multilevel time-series models for small area estimation at different frequencies and domain levels	4
Partial-mastery cognitive diagnosis models	4
Inhomogeneous spatio-temporal point processes on linear networks for visitors’ stops data	4
Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous vs. interval medical abortion regimens over gestation	4
Multistate capture–recapture models for irregularly sampled data	4
An efficient and computationally robust statistical method for analyzing case-control mother–offspring pair genetic association studies	4
Matrix completion methods for the total electron content video reconstruction	4
A functional-data approach to the Argo data	4
Integrated Quantile RAnk Test (iQRAT) for gene-level associations	3
An approximate best prediction approach to small area estimation for sheet and rill erosion under informative sampling	3
An evaluation of statistical methods for aggregate patterns of replication failure	3
Dirichlet-tree multinomial mixtures for clustering microbiome compositions	3
Nested conformal prediction sets for classification with applications to probation data	3
Discovering interactions using covariate informed random partition models	3
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: An application to the American Community Survey	3
Contrastive latent variable modeling with application to case-control sequencing experiments	3
Hawkes binomial topic model with applications to coupled conflict-Twitter data	3
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel	3
Random-effects meta-analysis of Phase I dose-finding studies using stochastic process priors	3
The role of scale in the estimation of cell-type proportions	3
Spatial functional data modeling of plant reflectances	3
Bayesian joint modeling of chemical structure and dose response curves	3
A deep learning semiparametric regression for adjusting complex confounding structures	3
Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size	3
Mixture of hidden Markov models for accelerometer data	3
Pan-disease clustering analysis of the trend of period prevalence	3
Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts	3
Fast inference for time-varying quantiles via flexible dynamic models with application to the characterization of atmospheric rivers	3
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball	3
Analysis of presence-only data via exact Bayes, with model and effects identification	3
Leveraging Hardy–Weinberg disequilibrium for association testing in case-control studies	3
Optimal EMG placement for a robotic prosthesis controller with sequential, adaptive functional estimation (SAFE)	3
BayICE: A Bayesian hierarchical model for semireference-based deconvolution of bulk transcriptomic data	3
Partitioning around medoids clustering and random forest classification for GIS-informed imputation of fluoride concentration data	3
Accounting for uncertainty about past values in probabilistic projections of the total fertility rate for most countries	3
Critical window variable selection for mixtures: Estimating the impact of multiple air pollutants on stillbirth	3
Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics	3
A bridging model to reconcile statistics based on data from multiple surveys	3
Subgroup-effects models for the analysis of personal treatment effects	3
Analyses of preventive care measures with incomplete historical data in electronic medical records: An example from colorectal cancer screening	3
Tensor quantile regression with application to association between neuroimages and human intelligence	3
Robust causal inference for incremental return on ad spend with randomized paired geo experiments	3
Monotonic effects of characteristics on returns	3
Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing	3
Detection of two-way outliers in multivariate data and application to cheating detection in educational tests	3