Stat

Article	Citations
Higher order asymptotic refinements in Bell regressions	42
Advice for isolated statisticians collaborating in academic healthcare centre settings	21
Considerations in developing a financial model for an academic statistical consulting centre	11
Bayesian hierarchical modeling on covariance valued data	11
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	11
Trend filtering for functional data	10
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	10
Community detection in attributed collaboration network for statisticians	9
Construction of Some Families of Asymmetric Column‐Orthogonal Designs	9
Methods for building a staff workforce of quantitative scientists in academic health care	9
Spatial dynamic panel models with missing data	9
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	9
Tensor Train Recurrent Network Language Model Prediction	8
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	8
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	8
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	7
Statistical learning for predicting density–matrix‐based electron dynamics	7
A Corrected Score Function Framework for Modelling Circadian Gene Expression	6
A general approximation to nested Bayes factors with informed priors	6
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models	6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	6
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 distributions	6
Computational Efficient General Convolutional Layer Selection for Transfer Learning	5

A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	5
An integral model for high‐accuracy and low‐accuracy experiments	5
Some non‐parametric regression models for interval‐valued functional data	5
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	5
Nonparanormal graph quilting with applications to calcium imaging	4
On the effect of rounding on hypothesis testing when sample size is large	4
Multivariate differential association analysis	4
Similarity‐based clustering for patterns of extreme values	4
Issue Information	4
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference	4
Mixture of Partially Linear Experts	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Confidence Distributions for the INAR Parameter	4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	4
Model averaging estimation for generalized partially linear varying‐coefficient models	3
Variational inference for the latent shrinkage position model	3
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	3
New bounds and search for maximin distance U‐type designs	3
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	3
Bayesian group sequential designs for cluster‐randomized trials	3
CIBM: A Clustering Algorithm for Multi‐Layer Network via Rescaled Interlacing Balance Measure	3
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Issue Information	3
On the construction of nested orthogonal arrays with the adjacent numbers of levels	3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics	3
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 Observations	3
Improving image classification robustness using self‐supervision	3
A note on universal inference	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	3
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	3
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
Subgroup Mediation Analysis	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Semiparametric Analysis of Informatively Double‐Censored Data Under Generalized Accelerated Hazards Models	3
Learning about an academic statistical consulting center through data	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
A spatially adaptive large‐scale multiple‐testing procedure	3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	3
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	3
An asymptotic threshold of sufficient randomness for causal inference	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
Structure recovery and trend estimation for dynamic network analysis	3
Tell your story: Metrics of success for academic data science collaboration and consulting programs	3

Reducing the statistical error of generative adversarial networks using space‐filling sampling	3
A Discussion of “A Note on Universal Inference” by Tse and Davison	3
Determining Spatial Correlation Structure Using a Flexible Method	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Improved Variance Estimation From Trimmed Samples	3
A comparative analysis of contractual risks in statistical consulting	3
Efficient basis selection for smoothing splines via rotated lattices	3
A spectral approach for the dynamic Bradley–Terry model	3
Survival Conformal Prediction Under Random Censoring	3
Semiparametric Regression for Spatial Anisotropic Data With Unknown Forcing Terms in the Prior PDE	3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	3
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
Distance‐weighted discrimination for functional data	2
On estimating the selected treatment mean under a two‐stage adaptive design	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
Sparse covariance matrix estimation for ultrahigh dimensional data	2
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Issue Information	2
Parametric nonstationary covariance functions on spheres	2
A Nonparametric Test of Multivariate Independence Using Graphs	2
The data science discovery program: A model for data science consulting in higher education	2
A Two‐Stage Least Squares Estimator for Grouped Multilayer Network Autoregression With Fixed Effects	2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
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Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Fallacy of data‐selective inference in modelling networks	2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	2
A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence	2
Simultaneous Testing of Hypotheses and Alternatives	2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	2
Orthogonal designs with branching and nested factors	2
Stagewise Boosting Distributional Regression	2
Adaptive Testing for Segmenting Watermarked Texts From Language Models	2
A New Binomial AR(1) Process With Dependent Counting Series Driven by Explanatory Variables	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
Locally Robust Alignment Between Distinct Spaces	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Modelling overdose case fatality rates over time: The collaborative process	2
Flexible multivariate zero to k inflated power series regression model with applications	2
Quantile regression with multiple proxy variables	2
Optimal non‐circular designs for interference models	2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	2
Softplus negative binomial network autoregression	2
Composite smoothed quantile regression	2
A Note on Confidence Intervals for a Binomial p : Andersson–Nerman vs. Wilson	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Bayesian Adaptive Polynomial Chaos Expansions	2
Significance of modes in the torus by topological data analysis	2
A sharper bound of the Hotelling–Solomons inequality	2
VDSAgents: A PCS‐Guided Multi‐Agent System for Veridical Data Science Automation	2
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes	2
Bootstrap Tests for Nonlinear Simplex Models	1
A localized ensemble of approximate Gaussian processes for fast sequential emulation	1
Nonparametric precedence chart with repetitive sampling	1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model	1
Construction of Optimal Orthogonal Partition	1
Double verification for two‐sample covariance matrices test	1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model	1
Some enhancements to DeepKriging	1
Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning	1
Construction of Uniform Projection Designs	1
A non‐stationary factor copula model for non‐Gaussian spatial data	1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	1
Subgroup Testing in Threshold Quantile Regression Model	1
Crafting statistical analysis plans: A cross‐discipline approach	1
E‐BH Based Interaction Identification for Classification With Ultra‐High Dimensional Binary Features	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
Minimax Simple Bayes Estimators of a Normal Variance	1
Numerical Computation of the Rosenblatt Distribution and Applications	1
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On the asymptotic properties of a bagging estimator with a massive dataset	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1

Bayesian Functional Region Selection	1
Quantile Regression with Multiple Proxy Variables	1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems	1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution	1
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries	1
A latent space accumulator model for response time: Applications to cognitive assessment data	1
Strong Orthogonal Arrays of Near Strength Two Plus	1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	1
A Functional Linear Regression for High‐Resolution 3D Faces	1
Adaptive Subsampling Spectral Clustering Based on Second‐Order Neighbour Relationships for Sparse Networks	1
Issue Information	1
A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power	1
Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables	1
First‐Order Mixed Autoregressive Model for Bivariate Mixed Time Series	1
A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data	1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models	1
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Second‐order preserving point process permutations	1
Robust K$$ K $$‐Fold Cross‐Validation Model Averaging Prediction	1
Simultaneous Variable Selection and Estimation of Mixed Panel Count Data With Informative Observation Processes	1
Issue Information	1
Comparing the effectiveness of k$$ k $$‐different treatments through the area under the ROC curve	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
Weighted Estimation of Conditional Average Treatment Effect Function With Adjusted Covariate Mismeasurement	1
Observation‐Driven Random Coefficient Threshold INAR Models for Count Time Series	1
Development of network‐guided transcriptomic risk score for disease prediction	1
An Empirical Bayes Algorithm for Variable Selection With Applications in Genetic Fine‐Mapping	1
Issue Information	1
Nearest Neighbour Classification Based on Imbalanced Data: A Statistical Approach	1
On Large Language Models in National Security Applications	1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies	1
Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study	1
Asymptotic tail properties of Poisson mixture distributions	1
Sign‐flip inference for spatial regression with differential regularisation	1
High‐dimensional non‐parametric tests for linear asset pricing models	1
The art of translational statistics	1
Machine collaboration	1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion	1
Spectral Clustering for Community Extraction in Networks With Background Nodes	1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	1
Variable selection for semivarying coefficient models via local averaging	1
Visualisation and outlier detection for probability density function ensembles	1
A sequential design for determining the quantile curve in two‐factor sensitivity tests	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
Enhancing CNNs With Detail Feature Module for High‐Pixel Image Classification	1
Estimation of the ROC curve and the area under it with complex survey data	1
Small area prediction of seat‐belt use rates using a Bayesian hierarchical unit‐level Poisson model with multivariate random effects	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
A mechanistic bivariate point process model for crime pattern analysis	1
An Efficient Algorithm for Exact Segmentation of Large Compositional and Categorical Time Series	1
Model averaging‐based sufficient dimension reduction	1
The academic collaborative statistician: Research, training and evaluation	1
A New Semiparametric Joint Model for Clustered Interval‐Censored Data With Informative Cluster Size	1
Changing presidential approval: Detecting and understanding change points in interval censored polling data	1
The value of flexible funding for collaborative biostatistics units in universities and academic medical centres	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
Tensor factor adjustment for image classification with pervasive noises	1
Decentralized Byzantine‐Resilient Dictionary Learning	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
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A slew of mixture relationships involving discrete and continuous generalized hypergeometric distributions and their special cases	0
Efficient Distributed Differential Network Estimation	0
Accelerating resident research within quantitative collaboration units in academic healthcare	0
Multi‐split conformal prediction via Cauchy aggregation	0
A Grouped GEE Framework for Quantile Regression in Heterogeneous Longitudinal Data Analysis	0
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization	0
On Alleviating Spatial Confounding Issues With the Bayesian Lasso	0
Gaussian process regression and classification using International Classification of Disease codes as covariates	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0
Issue Information	0
A trinomial difference autoregressive model and its applications	0
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models	0
Non‐Parametric Spatio‐Temporal Self‐Exciting Point Process Model With Gaussian Mixture Kernels for Crime Event Analysis	0
Density regression and uncertainty quantification with Bayesian deep noise neural networks	0
Scaling Up ROC‐Optimizing Support Vector Machines	0
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data	0
A New Perspective on U‐Statistic Variance Estimation	0
A Discussion of “A Note on Universal Inference” by Tse and Davison	0
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	0
Consistent Estimation of the Number of Communities in Non‐uniform Hypergraph Model	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Test of independence for Hilbertian random variables	0
Robust Distance Correlation for Variable Screening	0
On Wilks' joint moment formulas for embedded principal minors of Wishart random matrices	0
On pairwise interaction multivariate Pareto models	0
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	0
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	0
Construction of Asymmetric Orthogonal Arrays With High Strength	0
A Discussion of “A Note on Universal Inference” by Tse and Davison	0
Simultaneous confidence bands for nonparametric regression with equal cluster size	0
High‐dimensional differential networks with sparsity and reduced‐rank	0
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study	0
Observational Causality Testing	0
Inference for joint quantile and expected shortfall regression	0