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 2022-05-01 to 2026-05-01.)
ArticleCitations
Higher order asymptotic refinements in Bell regressions42
Advice for isolated statisticians collaborating in academic healthcare centre settings21
Considerations in developing a financial model for an academic statistical consulting centre11
Bayesian hierarchical modeling on covariance valued data11
Semi‐parametric generalized linear model for binomial data with varying cluster sizes11
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data10
Trend filtering for functional data10
Spatial dynamic panel models with missing data9
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics9
Community detection in attributed collaboration network for statisticians9
Construction of Some Families of Asymmetric Column‐Orthogonal Designs9
Methods for building a staff workforce of quantitative scientists in academic health care9
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error8
Tensor Train Recurrent Network Language Model Prediction8
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression8
The student staffing advantage: Data Science Consulting Service at NC State University Libraries7
Statistical learning for predicting density–matrix‐based electron dynamics7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components6
Documenting and communicating the contributions of embedded statisticians: Show me the value!6
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions6
A Corrected Score Function Framework for Modelling Circadian Gene Expression6
A general approximation to nested Bayes factors with informed priors6
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations6
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning5
Computational Efficient General Convolutional Layer Selection for Transfer Learning5
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science5
An integral model for high‐accuracy and low‐accuracy experiments5
Some non‐parametric regression models for interval‐valued functional data5
Mixture of Partially Linear Experts4
Using sliced inverse mean difference for dimension reduction in multivariate time series4
Confidence Distributions for the INAR Parameter4
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
On the effect of rounding on hypothesis testing when sample size is large4
Multivariate differential association analysis4
Similarity‐based clustering for patterns of extreme values4
Issue Information4
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials4
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference4
Structure recovery and trend estimation for dynamic network analysis3
Tell your story: Metrics of success for academic data science collaboration and consulting programs3
Reducing the statistical error of generative adversarial networks using space‐filling sampling3
Determining Spatial Correlation Structure Using a Flexible Method3
A Discussion of “A Note on Universal Inference” by Tse and Davison3
Improved Variance Estimation From Trimmed Samples3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint3
A comparative analysis of contractual risks in statistical consulting3
Efficient basis selection for smoothing splines via rotated lattices3
A spectral approach for the dynamic Bradley–Terry model3
Survival Conformal Prediction Under Random Censoring3
Semiparametric Regression for Spatial Anisotropic Data With Unknown Forcing Terms in the Prior PDE3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis3
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications3
Model averaging estimation for generalized partially linear varying‐coefficient models3
Variational inference for the latent shrinkage position model3
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data3
New bounds and search for maximin distance U‐type designs3
Beta regression for double‐bounded response with correlated high‐dimensional covariates3
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model3
Bayesian group sequential designs for cluster‐randomized trials3
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models3
CIBM: A Clustering Algorithm for Multi‐Layer Network via Rescaled Interlacing Balance Measure3
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Issue Information3
On the construction of nested orthogonal arrays with the adjacent numbers of levels3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations3
Improving image classification robustness using self‐supervision3
A note on universal inference3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach3
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises3
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data3
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
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations3
Subgroup Mediation Analysis3
Semiparametric Analysis of Informatively Double‐Censored Data Under Generalized Accelerated Hazards Models3
Learning about an academic statistical consulting center through data3
On the dissipation of ideal Hamiltonian Monte Carlo sampler3
A spatially adaptive large‐scale multiple‐testing procedure3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion3
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence3
An asymptotic threshold of sufficient randomness for causal inference3
A learning analytics case study: On class sizes in undergraduate writing courses3
Modelling overdose case fatality rates over time: The collaborative process2
Flexible multivariate zero to k inflated power series regression model with applications2
Quantile regression with multiple proxy variables2
Optimal non‐circular designs for interference models2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence2
Softplus negative binomial network autoregression2
Composite smoothed quantile regression2
A Note on Confidence Intervals for a Binomial p : Andersson–Nerman vs. Wilson2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters2
A single index model for longitudinal outcomes to optimize individual treatment decision rules2
Bayesian Adaptive Polynomial Chaos Expansions2
Significance of modes in the torus by topological data analysis2
A sharper bound of the Hotelling–Solomons inequality2
VDSAgents: A PCS‐Guided Multi‐Agent System for Veridical Data Science Automation2
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models2
Distance‐weighted discrimination for functional data2
On estimating the selected treatment mean under a two‐stage adaptive design2
The Grouped Horseshoe Distribution and Its Statistical Properties2
Sparse covariance matrix estimation for ultrahigh dimensional data2
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Issue Information2
Parametric nonstationary covariance functions on spheres2
A Nonparametric Test of Multivariate Independence Using Graphs2
The data science discovery program: A model for data science consulting in higher education2
A Two‐Stage Least Squares Estimator for Grouped Multilayer Network Autoregression With Fixed Effects2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution2
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Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
Fallacy of data‐selective inference in modelling networks2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously2
A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence2
Simultaneous Testing of Hypotheses and Alternatives2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments2
Orthogonal designs with branching and nested factors2
Stagewise Boosting Distributional Regression2
Adaptive Testing for Segmenting Watermarked Texts From Language Models2
A New Binomial AR(1) Process With Dependent Counting Series Driven by Explanatory Variables2
Does a Large Language Model Really Speak in Human‐Like Language?2
Locally Robust Alignment Between Distinct Spaces2
A note about why deep learning is deep: A discontinuous approximation perspective2
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