OOIR: Observatory of International Research

Papers

(The TQCC of Stat is 2. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Higher order asymptotic refinements in Bell regressions	25
Advice for isolated statisticians collaborating in academic healthcare centre settings	12
Considerations in developing a financial model for an academic statistical consulting centre	12
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	11
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	11
Bayesian hierarchical modeling on covariance valued data	11
Spatial dynamic panel models with missing data	10
Methods for building a staff workforce of quantitative scientists in academic health care	10
Community detection in attributed collaboration network for statisticians	10
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	9
Construction of Some Families of Asymmetric Column‐Orthogonal Designs	9
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	8
Documenting and communicating the contributions of embedded statisticians: Show me the value!	8
Trend filtering for functional data	8
Optimal Selection of Parameter‐Wise Shrinkage Parameters in Penalized Regression Models	8
Tensor Train Recurrent Network Language Model Prediction	8
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	8
A Corrected Score Function Framework for Modelling Circadian Gene Expression	7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	7
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models	7
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	6
Inferences Based on Burg Entropy Measures	6
A general approximation to nested Bayes factors with informed priors	6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	6

Computational Efficient General Convolutional Layer Selection for Transfer Learning	5
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	5
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	5
Multivariate differential association analysis	5
Confidence Distributions for the INAR Parameter	5
An integral model for high‐accuracy and low‐accuracy experiments	5
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference	5
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	5
Differentially Private Upper Bounds for Covariance and Inverse Covariance Matrices	5
On the effect of rounding on hypothesis testing when sample size is large	4
A learning analytics case study: On class sizes in undergraduate writing courses	4
Nonparanormal graph quilting with applications to calcium imaging	4
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	4
Semiparametric Regression for Spatial Anisotropic Data With Unknown Forcing Terms in the Prior PDE	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Determining Spatial Correlation Structure Using a Flexible Method	4
On the dissipation of ideal Hamiltonian Monte Carlo sampler	4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	4
Similarity‐based clustering for patterns of extreme values	4
An asymptotic threshold of sufficient randomness for causal inference	4
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	4
Mixture of Partially Linear Experts	4
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics	4
Issue Information	4
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	4
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	4
	4
A note on universal inference	4
A Discussion of “A Note on Universal Inference” by Tse and Davison	3
Survival Conformal Prediction Under Random Censoring	3
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
A comparative analysis of contractual risks in statistical consulting	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Power Enhancement Test on High‐Dimensional Regression Coefficients of Partially Linear Models	3
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	3
New bounds and search for maximin distance U‐type designs	3
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes	3
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	3
Model averaging estimation for generalized partially linear varying‐coefficient models	3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	3
On the construction of nested orthogonal arrays with the adjacent numbers of levels	3
Subgroup Mediation Analysis	3
Tell your story: Metrics of success for academic data science collaboration and consulting programs	3
Semiparametric Analysis of Informatively Double‐Censored Data Under Generalized Accelerated Hazards Models	3
CIBM: A Clustering Algorithm for Multi‐Layer Network via Rescaled Interlacing Balance Measure	3
A spectral approach for the dynamic Bradley–Terry model	3
	3

Efficient basis selection for smoothing splines via rotated lattices	3
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	3
Adaptive Testing for Segmenting Watermarked Texts From Language Models	3
A spatially adaptive large‐scale multiple‐testing procedure	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Note on High‐Dimensional Spatial–Sign Test for One‐Sample Problem	3
Structure recovery and trend estimation for dynamic network analysis	3
Improved Variance Estimation From Trimmed Samples	3
Issue Information	3
Learning about an academic statistical consulting center through data	3
Bayesian group sequential designs for cluster‐randomized trials	3
Reducing the statistical error of generative adversarial networks using space‐filling sampling	3
Locally Robust Alignment Between Distinct Spaces	3
A Note on Confidence Intervals for a Binomial p : Andersson–Nerman vs. Wilson	2
	2
The data science discovery program: A model for data science consulting in higher education	2
Modelling overdose case fatality rates over time: The collaborative process	2
Issue Information	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	2
	2
A Two‐Stage Least Squares Estimator for Grouped Multilayer Network Autoregression With Fixed Effects	2
Model‐Agnostic Influential Outlier Metric	2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries	2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
Composite smoothed quantile regression	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Simultaneous Testing of Hypotheses and Alternatives	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
Variational inference for the latent shrinkage position model	2
Fallacy of data‐selective inference in modelling networks	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
A sharper bound of the Hotelling–Solomons inequality	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
A New Binomial AR(1) Process With Dependent Counting Series Driven by Explanatory Variables	2
A Nonparametric Test of Multivariate Independence Using Graphs	2
Stagewise Boosting Distributional Regression	2
Quantile regression with multiple proxy variables	2
VDSAgents: A PCS‐Guided Multi‐Agent System for Veridical Data Science Automation	2
On estimating the selected treatment mean under a two‐stage adaptive design	2
Softplus negative binomial network autoregression	2
Non‐Elliptical Dimension Reduction in Survival Regression	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
Optimal non‐circular designs for interference models	2
Bayesian Adaptive Polynomial Chaos Expansions	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
Significance of modes in the torus by topological data analysis	2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	2
Learning Low‐Dimensional Representations via Generalized Reduced Rank Regression	2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
Distance‐weighted discrimination for functional data	2
Bootstrap Tests for Nonlinear Simplex Models	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	2
Sparse covariance matrix estimation for ultrahigh dimensional data	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence	2