Stat

Papers
(The median citation count of Stat is 1. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Higher order asymptotic refinements in Bell regressions24
Advice for isolated statisticians collaborating in academic healthcare centre settings12
Considerations in developing a financial model for an academic statistical consulting centre11
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
Bayesian hierarchical modeling on covariance valued data10
Methods for building a staff workforce of quantitative scientists in academic health care9
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
Trend filtering for functional data8
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression8
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
The student staffing advantage: Data Science Consulting Service at NC State University Libraries7
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models6
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions6
Documenting and communicating the contributions of embedded statisticians: Show me the value!6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components6
A Corrected Score Function Framework for Modelling Circadian Gene Expression6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations6
An integral model for high‐accuracy and low‐accuracy experiments5
A general approximation to nested Bayes factors with informed priors5
Multivariate differential association analysis5
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
Nonparanormal graph quilting with applications to calcium imaging4
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference4
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee4
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications4
On the effect of rounding on hypothesis testing when sample size is large4
Using sliced inverse mean difference for dimension reduction in multivariate time series4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan4
Issue Information4
On the dissipation of ideal Hamiltonian Monte Carlo sampler4
An asymptotic threshold of sufficient randomness for causal inference4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials4
Similarity‐based clustering for patterns of extreme values4
Confidence Distributions for the INAR Parameter4
A learning analytics case study: On class sizes in undergraduate writing courses4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution4
Learning about an academic statistical consulting center through data3
Issue Information3
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior3
A spectral approach for the dynamic Bradley–Terry model3
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Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis3
New bounds and search for maximin distance U‐type designs3
Locally Robust Alignment Between Distinct Spaces3
CIBM: A Clustering Algorithm for Multi‐Layer Network via Rescaled Interlacing Balance Measure3
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models3
Beta regression for double‐bounded response with correlated high‐dimensional covariates3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint3
Efficient basis selection for smoothing splines via rotated lattices3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach3
On the construction of nested orthogonal arrays with the adjacent numbers of levels3
Bayesian group sequential designs for cluster‐randomized trials3
Determining Spatial Correlation Structure Using a Flexible Method3
Semiparametric Regression for Spatial Anisotropic Data With Unknown Forcing Terms in the Prior PDE3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.3
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data3
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes3
A comparative analysis of contractual risks in statistical consulting3
Survival Conformal Prediction Under Random Censoring3
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence3
Structure recovery and trend estimation for dynamic network analysis3
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Model averaging estimation for generalized partially linear varying‐coefficient models3
A spatially adaptive large‐scale multiple‐testing procedure3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion3
Mixture of Partially Linear Experts3
A note on universal inference3
Tell your story: Metrics of success for academic data science collaboration and consulting programs3
Semiparametric Analysis of Informatively Double‐Censored Data Under Generalized Accelerated Hazards Models3
Reducing the statistical error of generative adversarial networks using space‐filling sampling3
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective3
A Discussion of “A Note on Universal Inference” by Tse and Davison3
Improved Variance Estimation From Trimmed Samples3
Adaptive Testing for Segmenting Watermarked Texts From Language Models3
Subgroup Mediation Analysis3
Power Enhancement Test on High‐Dimensional Regression Coefficients of Partially Linear Models3
A Nonparametric Test of Multivariate Independence Using Graphs2
Quantile regression with multiple proxy variables2
A New Binomial AR(1) Process With Dependent Counting Series Driven by Explanatory Variables2
A note about why deep learning is deep: A discontinuous approximation perspective2
Sparse covariance matrix estimation for ultrahigh dimensional data2
Optimal non‐circular designs for interference models2
A sharper bound of the Hotelling–Solomons inequality2
Does a Large Language Model Really Speak in Human‐Like Language?2
Fallacy of data‐selective inference in modelling networks2
A Two‐Stage Least Squares Estimator for Grouped Multilayer Network Autoregression With Fixed Effects2
Parametric nonstationary covariance functions on spheres2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
VDSAgents: A PCS‐Guided Multi‐Agent System for Veridical Data Science Automation2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models2
Distance‐weighted discrimination for functional data2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries2
Composite smoothed quantile regression2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises2
A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously2
Modelling overdose case fatality rates over time: The collaborative process2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence2
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Bayesian Adaptive Polynomial Chaos Expansions2
Variational inference for the latent shrinkage position model2
Significance of modes in the torus by topological data analysis2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
Bootstrap Tests for Nonlinear Simplex Models2
A Note on Confidence Intervals for a Binomial p : Andersson–Nerman vs. Wilson2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments2
The Grouped Horseshoe Distribution and Its Statistical Properties2
On estimating the selected treatment mean under a two‐stage adaptive design2
Softplus negative binomial network autoregression2
Issue Information2
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Simultaneous Testing of Hypotheses and Alternatives2
Stagewise Boosting Distributional Regression2
The data science discovery program: A model for data science consulting in higher education2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics2
A single index model for longitudinal outcomes to optimize individual treatment decision rules2
Comparing the effectiveness of k$$ k $$‐different treatments through the area under the ROC curve1
Quantile Regression with Multiple Proxy Variables1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach1
Issue Information1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty1
Observation‐Driven Random Coefficient Threshold INAR Models for Count Time Series1
Conformal Prediction for Distributed Data1
Adaptive Subsampling Spectral Clustering Based on Second‐Order Neighbour Relationships for Sparse Networks1
A comprehensive survey of collaborative biostatistics units in academic health centers1
Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study1
Minimax Simple Bayes Estimators of a Normal Variance1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems1
Predicting resident satisfaction with public schools in small town Iowa1
Asymptotic tail properties of Poisson mixture distributions1
Bias correction for nonignorable missing counts of areal HIV new diagnosis1
Visualisation and outlier detection for probability density function ensembles1
First‐Order Mixed Autoregressive Model for Bivariate Mixed Time Series1
A sequential design for determining the quantile curve in two‐factor sensitivity tests1
Estimation of the ROC curve and the area under it with complex survey data1
A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power1
Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning1
Bayesian Functional Region Selection1
A latent space accumulator model for response time: Applications to cognitive assessment data1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization1
Development of network‐guided transcriptomic risk score for disease prediction1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models1
Nearest Neighbour Classification Based on Imbalanced Data: A Statistical Approach1
Second‐order preserving point process permutations1
A mechanistic bivariate point process model for crime pattern analysis1
Enhancing CNNs With Detail Feature Module for High‐Pixel Image Classification1
Crafting statistical analysis plans: A cross‐discipline approach1
An Efficient Algorithm for Exact Segmentation of Large Compositional and Categorical Time Series1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model1
Nonparametric precedence chart with repetitive sampling1
E‐BH Based Interaction Identification for Classification With Ultra‐High Dimensional Binary Features1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution1
High‐Dimensional Regression With Missing Data: An Asymptotic Study1
An Empirical Bayes Algorithm for Variable Selection With Applications in Genetic Fine‐Mapping1
Some enhancements to DeepKriging1
A non‐stationary factor copula model for non‐Gaussian spatial data1
Flexible multivariate zero to k inflated power series regression model with applications1
Weighted Estimation of Conditional Average Treatment Effect Function With Adjusted Covariate Mismeasurement1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies1
Sequential Design for Quantile Estimation in Multifactor Sensitivity Experiments1
The art of translational statistics1
A Functional Linear Regression for High‐Resolution 3D Faces1
Construction of Uniform Projection Designs1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model1
A New Method for Regression Analysis of Case–Cohort Interval‐Censored Failure Time Data1
Collaborative analysis for energy usage monitoring and management on a large university campus1
Simultaneous Variable Selection and Estimation of Mixed Panel Count Data With Informative Observation Processes1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis1
Sign‐flip inference for spatial regression with differential regularisation1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data1
Variable selection for semivarying coefficient models via local averaging1
Strong Orthogonal Arrays of Near Strength Two Plus1
Small area prediction of seat‐belt use rates using a Bayesian hierarchical unit‐level Poisson model with multivariate random effects1
Subgroup Testing in Threshold Quantile Regression Model1
The academic collaborative statistician: Research, training and evaluation1
Spectral Clustering for Community Extraction in Networks With Background Nodes1
Tensor factor adjustment for image classification with pervasive noises1
Numerical Computation of the Rosenblatt Distribution and Applications1
A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data1
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Statistical Inference for Clustering‐Based Anomaly Detection1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion1
The value of flexible funding for collaborative biostatistics units in universities and academic medical centres1
The virtual consulting company: Teaching statistical consulting through simulated experience1
Statistical consulting in the healthcare professions: A model of student‐led consulting services1
Decentralized Byzantine‐Resilient Dictionary Learning1
Functional clustering on a sphere via Riemannian functional principal components1
High‐dimensional non‐parametric tests for linear asset pricing models1
Changing presidential approval: Detecting and understanding change points in interval censored polling data1
On the asymptotic properties of a bagging estimator with a massive dataset1
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Robust K‐Fold Cross‐Validation Model Averaging Prediction1
On Large Language Models in National Security Applications1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors1
Machine collaboration1
Issue Information1
Issue Information1
A localized ensemble of approximate Gaussian processes for fast sequential emulation1
Double verification for two‐sample covariance matrices test1
Construction of Optimal Orthogonal Partition1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors1
Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables1
A New Semiparametric Joint Model for Clustered Interval‐Censored Data With Informative Cluster Size1
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