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 2021-11-01 to 2025-11-01.)

Article	Citations
Construction of Some Families of Asymmetric Column‐Orthogonal Designs	33
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	16
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	15
Higher order asymptotic refinements in Bell regressions	11
Advice for isolated statisticians collaborating in academic healthcare centre settings	10
Considerations in developing a financial model for an academic statistical consulting centre	9
Community detection in attributed collaboration network for statisticians	8
Bayesian hierarchical modeling on covariance valued data	8
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	8
Methods for building a staff workforce of quantitative scientists in academic health care	8
Spatial dynamic panel models with missing data	8
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	8
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	8
Trend filtering for functional data	7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	7
Tensor Train Recurrent Network Language Model Prediction	7
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	6
A general approximation to nested Bayes factors with informed priors	6
Statistical learning for predicting density–matrix‐based electron dynamics	6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	6
Documenting and communicating the contributions of embedded statisticians: Show me the value!	6
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	6
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	6
A Corrected Score Function Framework for Modelling Circadian Gene Expression	5
Some non‐parametric regression models for interval‐valued functional data	5

Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Multivariate differential association analysis	4
An integral model for high‐accuracy and low‐accuracy experiments	4
Allocation of COVID‐19 testing budget on a commute network of counties	4
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	4
Nonparanormal graph quilting with applications to calcium imaging	4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	4
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4
Similarity‐based clustering for patterns of extreme values	4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	4
Model averaging estimation for generalized partially linear varying‐coefficient models	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics	3
On the effect of rounding on hypothesis testing when sample size is large	3
Mixture of Partially Linear Experts	3
A comparative analysis of contractual risks in statistical consulting	3
A spectral approach for the dynamic Bradley–Terry model	3
Tell your story: Metrics of success for academic data science collaboration and consulting programs	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Determining Spatial Correlation Structure Using a Flexible Method	3
A note on universal inference	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	3
Issue Information	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
Learning about an academic statistical consulting center through data	3
Structure recovery and trend estimation for dynamic network analysis	3
Improved Variance Estimation From Trimmed Samples	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Improving image classification robustness using self‐supervision	3
Issue Information	3
An asymptotic threshold of sufficient randomness for causal inference	3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	3
Bayesian group sequential designs for cluster‐randomized trials	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
On the construction of nested orthogonal arrays with the adjacent numbers of levels	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	2
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A multivariate normal approximation for the Dirichlet density and some applications	2
Significance of modes in the torus by topological data analysis	2
Optimal non‐circular designs for interference models	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Composite smoothed quantile regression	2

Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes	2
Orthogonal designs with branching and nested factors	2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
A sharper bound of the Hotelling–Solomons inequality	2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	2
Issue Information	2
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Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	2
Efficient basis selection for smoothing splines via rotated lattices	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
A spatially adaptive large‐scale multiple‐testing procedure	2
New mixed ranked set sampling variations	2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	2
Bias analysis of generalized estimating equations under measurement error and practical bias correction	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Asymptotic tail properties of Poisson mixture distributions	2
Variational inference for the latent shrinkage position model	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
Statistical inference on group Rasch mixture network models	2
Locally Robust Alignment Between Distinct Spaces	2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
Sparse covariance matrix estimation for ultrahigh dimensional data	2
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	2
Softplus negative binomial network autoregression	2
Survival Conformal Prediction Under Random Censoring	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
The data science discovery program: A model for data science consulting in higher education	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
New bounds and search for maximin distance U‐type designs	2
Fallacy of data‐selective inference in modelling networks	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	2
Parametric nonstationary covariance functions on spheres	2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	2
Modelling overdose case fatality rates over time: The collaborative process	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
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Subgroup Mediation Analysis	2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	2