Stat

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 2021-12-01 to 2025-12-01.)
ArticleCitations
Construction of Some Families of Asymmetric Column‐Orthogonal Designs34
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression16
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics15
Higher order asymptotic refinements in Bell regressions11
Advice for isolated statisticians collaborating in academic healthcare centre settings10
Semi‐parametric generalized linear model for binomial data with varying cluster sizes9
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error9
Considerations in developing a financial model for an academic statistical consulting centre9
Methods for building a staff workforce of quantitative scientists in academic health care8
Trend filtering for functional data8
Bayesian hierarchical modeling on covariance valued data8
Community detection in attributed collaboration network for statisticians8
Spatial dynamic panel models with missing data8
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components7
Tensor Train Recurrent Network Language Model Prediction7
Statistical learning for predicting density–matrix‐based electron dynamics7
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns6
Documenting and communicating the contributions of embedded statisticians: Show me the value!6
Some non‐parametric regression models for interval‐valued functional data6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations6
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions6
A Corrected Score Function Framework for Modelling Circadian Gene Expression6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries6
A general approximation to nested Bayes factors with informed priors6
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science5
Allocation of COVID‐19 testing budget on a commute network of counties5
Computational Efficient General Convolutional Layer Selection for Transfer Learning4
Similarity‐based clustering for patterns of extreme values4
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan4
Nonparanormal graph quilting with applications to calcium imaging4
Multivariate differential association analysis4
An integral model for high‐accuracy and low‐accuracy experiments4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution4
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials4
Confidence Distributions for the INAR Parameter4
Using sliced inverse mean difference for dimension reduction in multivariate time series4
On the construction of nested orthogonal arrays with the adjacent numbers of levels3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.3
Tell your story: Metrics of success for academic data science collaboration and consulting programs3
A note on universal inference3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis3
A comparative analysis of contractual risks in statistical consulting3
Beta regression for double‐bounded response with correlated high‐dimensional covariates3
On the dissipation of ideal Hamiltonian Monte Carlo sampler3
An asymptotic threshold of sufficient randomness for causal inference3
Determining Spatial Correlation Structure Using a Flexible Method3
Issue Information3
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Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence3
A spatially adaptive large‐scale multiple‐testing procedure3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach3
Structure recovery and trend estimation for dynamic network analysis3
Bayesian group sequential designs for cluster‐randomized trials3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications3
Improving image classification robustness using self‐supervision3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee3
Mixture of Partially Linear Experts3
A learning analytics case study: On class sizes in undergraduate writing courses3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach3
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior3
Survival Conformal Prediction Under Random Censoring3
Efficient basis selection for smoothing splines via rotated lattices3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint3
Model averaging estimation for generalized partially linear varying‐coefficient models3
A spectral approach for the dynamic Bradley–Terry model3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations3
On the effect of rounding on hypothesis testing when sample size is large3
Issue Information3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations3
Improved Variance Estimation From Trimmed Samples3
Subgroup Mediation Analysis3
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes2
Fallacy of data‐selective inference in modelling networks2
New mixed ranked set sampling variations2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics2
Sparse covariance matrix estimation for ultrahigh dimensional data2
Reducing the statistical error of generative adversarial networks using space‐filling sampling2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data2
Learning about an academic statistical consulting center through data2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously2
Parametric nonstationary covariance functions on spheres2
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments2
Does a Large Language Model Really Speak in Human‐Like Language?2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
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Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching2
Orthogonal designs with branching and nested factors2
A sharper bound of the Hotelling–Solomons inequality2
Softplus negative binomial network autoregression2
Bias analysis of generalized estimating equations under measurement error and practical bias correction2
Issue Information2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets2
Locally Robust Alignment Between Distinct Spaces2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model2
A multivariate normal approximation for the Dirichlet density and some applications2
New bounds and search for maximin distance U‐type designs2
Adaptive Testing for Segmenting Watermarked Texts From Language Models2
Decentralized Byzantine‐Resilient Dictionary Learning2
Modelling overdose case fatality rates over time: The collaborative process2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution2
Distance‐weighted discrimination for functional data2
The Grouped Horseshoe Distribution and Its Statistical Properties2
The data science discovery program: A model for data science consulting in higher education2
Quantile regression with multiple proxy variables2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson2
Composite smoothed quantile regression2
A note about why deep learning is deep: A discontinuous approximation perspective2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
The virtual consulting company: Teaching statistical consulting through simulated experience2
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Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters2
Variational inference for the latent shrinkage position model2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises2
Statistical inference on group Rasch mixture network models2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries2
Optimal non‐circular designs for interference models2
Significance of modes in the torus by topological data analysis2
On estimating the selected treatment mean under a two‐stage adaptive design2
A single index model for longitudinal outcomes to optimize individual treatment decision rules2
Asymptotic tail properties of Poisson mixture distributions2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach2
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