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 2021-08-01 to 2025-08-01.)

Article	Citations
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	30
Trend filtering for functional data	14
Methods for building a staff workforce of quantitative scientists in academic health care	13
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	10
Information limits for detecting a subhypergraph	10
Bayesian hierarchical modeling on covariance valued data	8
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	8
Community detection in attributed collaboration network for statisticians	8
Spatial dynamic panel models with missing data	8
Higher order asymptotic refinements in Bell regressions	7
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	7
Considerations in developing a financial model for an academic statistical consulting centre	7
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	7
Advice for isolated statisticians collaborating in academic healthcare centre settings	7
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	6
Statistical learning for predicting density–matrix‐based electron dynamics	6
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
A Corrected Score Function Framework for Modelling Circadian Gene Expression	6
Ensemble mapper	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
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	6
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	5

Some non‐parametric regression models for interval‐valued functional data	5
An integral model for high‐accuracy and low‐accuracy experiments	5
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	5
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	5
Allocation of COVID‐19 testing budget on a commute network of counties	5
An asymptotic threshold of sufficient randomness for causal inference	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Multivariate differential association analysis	4
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4
Mixture of Partially Linear Experts	4
Nonparanormal graph quilting with applications to calcium imaging	4
Similarity‐based clustering for patterns of extreme values	4
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	4
Issue Information	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
A comparative analysis of contractual risks in statistical consulting	3
Learning about an academic statistical consulting center through data	3
Structure recovery and trend estimation for dynamic network analysis	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Bayesian group sequential designs for cluster‐randomized trials	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
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	3
Issue Information	3
Improved Variance Estimation From Trimmed Samples	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
A note on universal inference	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
Determining Spatial Correlation Structure Using a Flexible Method	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	3
Efficient basis selection for smoothing splines via rotated lattices	3
	3
A spectral approach for the dynamic Bradley–Terry model	3
Improving image classification robustness using self‐supervision	3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	3
Survival Conformal Prediction Under Random Censoring	2
A spatially adaptive large‐scale multiple‐testing procedure	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
Significance of modes in the torus by topological data analysis	2
Softplus negative binomial network autoregression	2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
	2

The data science discovery program: A model for data science consulting in higher education	2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	2
Orthogonal designs with branching and nested factors	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	2
A multivariate normal approximation for the Dirichlet density and some applications	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
Model averaging estimation for generalized partially linear varying‐coefficient models	2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
Composite smoothed quantile regression	2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
New mixed ranked set sampling variations	2
Modelling overdose case fatality rates over time: The collaborative process	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Variational inference for the latent shrinkage position model	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Covariance‐based low‐dimensional registration for function‐on‐function regression	2
New bounds and search for maximin distance U‐type designs	2
Matrix‐variate time series modelling with hidden Markov models	2
On the construction of nested orthogonal arrays with the adjacent numbers of levels	2
Tell your story: Metrics of success for academic data science collaboration and consulting programs	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Fallacy of data‐selective inference in modelling networks	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
Optimal non‐circular designs for interference models	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
Statistical inference on group Rasch mixture network models	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	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
Parametric nonstationary covariance functions on spheres	2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	2
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	2
A cautionary note on the variance of empirical pair correlation function	2