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Article	Citations
Construction of Some Families of Asymmetric Column‐Orthogonal Designs	33
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	16
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	15
Higher order asymptotic refinements in Bell regressions	11
Advice for isolated statisticians collaborating in academic healthcare centre settings	10
Considerations in developing a financial model for an academic statistical consulting centre	9
Methods for building a staff workforce of quantitative scientists in academic health care	8
Spatial dynamic panel models with missing data	8
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	8
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	8
Community detection in attributed collaboration network for statisticians	8
Bayesian hierarchical modeling on covariance valued data	8
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	8
Trend filtering for functional data	7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	7
Tensor Train Recurrent Network Language Model Prediction	7
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
Statistical learning for predicting density–matrix‐based electron dynamics	6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	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
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	6
Some non‐parametric regression models for interval‐valued functional data	5
A Corrected Score Function Framework for Modelling Circadian Gene Expression	5

Multivariate differential association analysis	4
An integral model for high‐accuracy and low‐accuracy experiments	4
Allocation of COVID‐19 testing budget on a commute network of counties	4
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	4
Nonparanormal graph quilting with applications to calcium imaging	4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	4
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4
Similarity‐based clustering for patterns of extreme values	4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	4
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
A comparative analysis of contractual risks in statistical consulting	3
A spectral approach for the dynamic Bradley–Terry model	3
Tell your story: Metrics of success for academic data science collaboration and consulting programs	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Determining Spatial Correlation Structure Using a Flexible Method	3
A note on universal inference	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	3
Issue Information	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
Learning about an academic statistical consulting center through data	3
Structure recovery and trend estimation for dynamic network analysis	3
Improved Variance Estimation From Trimmed Samples	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Improving image classification robustness using self‐supervision	3
Issue Information	3
An asymptotic threshold of sufficient randomness for causal inference	3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	3
Bayesian group sequential designs for cluster‐randomized trials	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
Model averaging estimation for generalized partially linear varying‐coefficient models	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	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
Mixture of Partially Linear Experts	3
Issue Information	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
Subgroup Mediation Analysis	2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	2
On the construction of nested orthogonal arrays with the adjacent numbers of levels	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	2
New mixed ranked set sampling variations	2
Significance of modes in the torus by topological data analysis	2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	2

A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Composite smoothed quantile regression	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes	2
Orthogonal designs with branching and nested factors	2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	2
Sparse covariance matrix estimation for ultrahigh dimensional data	2
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Efficient basis selection for smoothing splines via rotated lattices	2
Softplus negative binomial network autoregression	2
A spatially adaptive large‐scale multiple‐testing procedure	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Bias analysis of generalized estimating equations under measurement error and practical bias correction	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Asymptotic tail properties of Poisson mixture distributions	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
Variational inference for the latent shrinkage position model	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
Statistical inference on group Rasch mixture network models	2
Locally Robust Alignment Between Distinct Spaces	2
Modelling overdose case fatality rates over time: The collaborative process	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
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A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	2
Survival Conformal Prediction Under Random Censoring	2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	2
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
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The data science discovery program: A model for data science consulting in higher education	2
A multivariate normal approximation for the Dirichlet density and some applications	2
New bounds and search for maximin distance U‐type designs	2
Fallacy of data‐selective inference in modelling networks	2
Optimal non‐circular designs for interference models	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	2
Parametric nonstationary covariance functions on spheres	2
A sharper bound of the Hotelling–Solomons inequality	2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
Changing presidential approval: Detecting and understanding change points in interval censored polling data	1
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Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	1
A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power	1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution	1
Estimation of the ROC curve and the area under it with complex survey data	1
Comparison of attributed network clustering approaches to analysing Seoul public bike stations	1
High‐dimensional non‐parametric tests for linear asset pricing models	1
The academic collaborative statistician: Research, training and evaluation	1
Simultaneous Variable Selection and Estimation of Mixed Panel Count Data With Informative Observation Processes	1
Bayesian Functional Region Selection	1
Fast model‐based clustering of partial records	1
A Functional Linear Regression for High‐Resolution 3D Faces	1
Crafting statistical analysis plans: A cross‐discipline approach	1
On Large Language Models in National Security Applications	1
Strong Orthogonal Arrays of Near Strength Two Plus	1
Issue Information	1
Distance‐weighted discrimination for functional data	1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model	1
Double verification for two‐sample covariance matrices test	1
Dissecting the 2015 Chinese stock market crash	1
Model‐based clustering of semiparametric temporal exponential‐family random graph models	1
Quantile Regression with Multiple Proxy Variables	1
Some enhancements to DeepKriging	1
Sign‐flip inference for spatial regression with differential regularisation	1
Decentralized Byzantine‐Resilient Dictionary Learning	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
Robust K$$ K $$‐Fold Cross‐Validation Model Averaging Prediction	1
Tensor factor adjustment for image classification with pervasive noises	1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	1

Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
Development of network‐guided transcriptomic risk score for disease prediction	1
Issue Information	1
Construction of Optimal Orthogonal Partition	1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion	1
Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning	1
A New Semiparametric Joint Model for Clustered Interval‐Censored Data With Informative Cluster Size	1
Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables	1
Issue Information	1
Enhancing CNNs With Detail Feature Module for High‐Pixel Image Classification	1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	1
Structural inference of time‐varying mixed graphical models	1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems	1
Epsilon Consistent Mixup: Structural regularization with an adaptive consistency‐interpolation trade‐off	1
On estimating the selected treatment mean under a two‐stage adaptive design	1
Spectral Clustering for Community Extraction in Networks With Background Nodes	1
Flexible multivariate zero to k inflated power series regression model with applications	1
A latent space accumulator model for response time: Applications to cognitive assessment data	1
The art of translational statistics	1
Model averaging‐based sufficient dimension reduction	1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model	1
A localized ensemble of approximate Gaussian processes for fast sequential emulation	1
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Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study	1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	1
Nonparametric precedence chart with repetitive sampling	1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models	1
Adaptive Subsampling Spectral Clustering Based on Second‐Order Neighbour Relationships for Sparse Networks	1
Consistent estimation of the number of communities in stochastic block models using cross‐validation	1
Machine collaboration	1
Visualisation and outlier detection for probability density function ensembles	1
Variable selection for semivarying coefficient models via local averaging	1
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	1
A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Issue Information	1
Quantile regression with multiple proxy variables	1
A non‐stationary factor copula model for non‐Gaussian spatial data	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
A sequential design for determining the quantile curve in two‐factor sensitivity tests	1
A note on centering in subsample selection for linear regression	0
Becoming a JEDI statistician	0
Misclassification Excess Risk Bounds for PAC‐Bayesian Classification via Convexified Loss	0
Dimensionality reduction using elastic measures	0
Gaussian Rank Verification	0
High‐dimensional differential networks with sparsity and reduced‐rank	0
Consistent Estimation of the Number of Communities in Non‐uniform Hypergraph Model	0
Sparse multivariate functional principal component analysis	0
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data	0
On pairwise interaction multivariate Pareto models	0
Parsimonious mixture‐of‐experts based on mean mixture of multivariate normal distributions	0
Efficient Distributed Differential Network Estimation	0
The art of transfer learning: An adaptive and robust pipeline	0
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	0
Observational Causality Testing	0
A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec	0
Robust Distance Correlation for Variable Screening	0
On the Connections Among Three Transfer Learning Paradigms	0
Multi‐split conformal prediction via Cauchy aggregation	0
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy	0
An integral representation for inverse moments of multivariate random variables	0
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	0
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data	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
Test of independence for Hilbertian random variables	0
Efficient Goodness‐of‐Fit Tests for the Maxwell–Boltzmann Distribution via Stein‐Type Characterization With Applications to (Un)censored Data	0
An algorithm for distributed Bayesian inference	0
Gaussian process regression and classification using International Classification of Disease codes as covariates	0
Developing partnerships for academic data science consulting and collaboration units	0
Inference for joint quantile and expected shortfall regression	0
Accelerating resident research within quantitative collaboration units in academic healthcare	0
Determining the dimension of weighted inverse regression ensemble	0
High‐dimensional precision matrix estimation with a known graphical structure	0
Feature grouping and sparse principal component analysis with truncated regularization	0
Subgroup Analysis for High‐Dimensional Latent Factor Regression	0
On Alleviating Spatial Confounding Issues With the Bayesian Lasso	0
Density regression and uncertainty quantification with Bayesian deep noise neural networks	0
Concentration of a Sparse Bayesian Model With Horseshoe Prior in Estimating High‐Dimensional Precision Matrix	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Multilevel varying coefficient spatiotemporal model	0
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models	0
Construction of Asymmetric Orthogonal Arrays With High Strength	0
On Wilks' joint moment formulas for embedded principal minors of Wishart random matrices	0
Issue Information	0
A slew of mixture relationships involving discrete and continuous generalized hypergeometric distributions and their special cases	0
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Issue Information	0
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	0
A trinomial difference autoregressive model and its applications	0