Stat

Article	Citations
Methods for building a staff workforce of quantitative scientists in academic health care	31
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	15
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	13
Spatial dynamic panel models with missing data	10
Bayesian hierarchical modeling on covariance valued data	10
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	8
Advice for isolated statisticians collaborating in academic healthcare centre settings	8
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	8
Higher order asymptotic refinements in Bell regressions	8
Community detection in attributed collaboration network for statisticians	7
Considerations in developing a financial model for an academic statistical consulting centre	7
Construction of Some Families of Asymmetric Column‐Orthogonal Designs	7
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	7
A Corrected Score Function Framework for Modelling Circadian Gene Expression	6
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	6
Trend filtering for functional data	6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	6
Documenting and communicating the contributions of embedded statisticians: Show me the value!	6
A general approximation to nested Bayes factors with informed priors	6
Statistical learning for predicting density–matrix‐based electron dynamics	6
Some non‐parametric regression models for interval‐valued functional data	5
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	5
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	5
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4

Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	4
Allocation of COVID‐19 testing budget on a commute network of counties	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	4
An integral model for high‐accuracy and low‐accuracy experiments	4
Nonparanormal graph quilting with applications to calcium imaging	4
Issue Information	4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	4
Multivariate differential association analysis	4
Similarity‐based clustering for patterns of extreme values	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
On the effect of rounding on hypothesis testing when sample size is large	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Model averaging estimation for generalized partially linear varying‐coefficient models	3
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Issue Information	3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	3
Mixture of Partially Linear Experts	3
An asymptotic threshold of sufficient randomness for causal inference	3
A note on universal inference	3
Bayesian group sequential designs for cluster‐randomized trials	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
A comparative analysis of contractual risks in statistical consulting	3
Determining Spatial Correlation Structure Using a Flexible Method	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	3
Improving image classification robustness using self‐supervision	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Improved Variance Estimation From Trimmed Samples	3
A spectral approach for the dynamic Bradley–Terry model	3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics	3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	3
Fallacy of data‐selective inference in modelling networks	2
On the construction of nested orthogonal arrays with the adjacent numbers of levels	2
Tell your story: Metrics of success for academic data science collaboration and consulting programs	2
New mixed ranked set sampling variations	2
Learning about an academic statistical consulting center through data	2
Optimal non‐circular designs for interference models	2
Structure recovery and trend estimation for dynamic network analysis	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	2
The data science discovery program: A model for data science consulting in higher education	2
Orthogonal designs with branching and nested factors	2
Statistical inference on group Rasch mixture network models	2
Bias analysis of generalized estimating equations under measurement error and practical bias correction	2

Variational inference for the latent shrinkage position model	2
Subgroup Mediation Analysis	2
New bounds and search for maximin distance U‐type designs	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
Survival Conformal Prediction Under Random Censoring	2
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Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
A multivariate normal approximation for the Dirichlet density and some applications	2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
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Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Composite smoothed quantile regression	2
A spatially adaptive large‐scale multiple‐testing procedure	2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	2
Softplus negative binomial network autoregression	2
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Efficient basis selection for smoothing splines via rotated lattices	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	2
Significance of modes in the torus by topological data analysis	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Parametric nonstationary covariance functions on spheres	2
Locally Robust Alignment Between Distinct Spaces	2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries	1
High‐dimensional non‐parametric tests for linear asset pricing models	1
Issue Information	1
A sharper bound of the Hotelling–Solomons inequality	1
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On estimating the selected treatment mean under a two‐stage adaptive design	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
Flexible multivariate zero to k inflated power series regression model with applications	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems	1
Distance‐weighted discrimination for functional data	1
A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power	1
Crafting statistical analysis plans: A cross‐discipline approach	1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion	1
Some enhancements to DeepKriging	1
Issue Information	1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	1
Construction of Optimal Orthogonal Partition	1
Issue Information	1
Tensor factor adjustment for image classification with pervasive noises	1
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model	1
The art of translational statistics	1
Enhancing CNNs With Detail Feature Module for High‐Pixel Image Classification	1
Quantile Regression with Multiple Proxy Variables	1
Visualisation and outlier detection for probability density function ensembles	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	1
Double verification for two‐sample covariance matrices test	1
Changing presidential approval: Detecting and understanding change points in interval censored polling data	1
The academic collaborative statistician: Research, training and evaluation	1
Quantile regression with multiple proxy variables	1
Comparison of attributed network clustering approaches to analysing Seoul public bike stations	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Robust K$$ K $$‐Fold Cross‐Validation Model Averaging Prediction	1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
Strong Orthogonal Arrays of Near Strength Two Plus	1
A Functional Linear Regression for High‐Resolution 3D Faces	1
Modelling overdose case fatality rates over time: The collaborative process	1
Machine collaboration	1

Bayesian Functional Region Selection	1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution	1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	1
Issue Information	1
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	1
Consistent estimation of the number of communities in stochastic block models using cross‐validation	1
A localized ensemble of approximate Gaussian processes for fast sequential emulation	1
Sparse covariance matrix estimation for ultrahigh dimensional data	1
A latent space accumulator model for response time: Applications to cognitive assessment data	1
Model‐based clustering of semiparametric temporal exponential‐family random graph models	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
Nonparametric precedence chart with repetitive sampling	1
Asymptotic tail properties of Poisson mixture distributions	1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies	1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
Estimation of the ROC curve and the area under it with complex survey data	1
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Model averaging‐based sufficient dimension reduction	1
Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study	1
Development of network‐guided transcriptomic risk score for disease prediction	1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Sign‐flip inference for spatial regression with differential regularisation	1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	1
A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data	1
Observational Causality Testing	0
An integral representation for inverse moments of multivariate random variables	0
Issue Information	0
A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec	0
Gaussian Rank Verification	0
Sub‐asymptotic motivation for new conditional multivariate extreme models	0
Feature grouping and sparse principal component analysis with truncated regularization	0
High‐dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time	0
Misclassification Excess Risk Bounds for PAC‐Bayesian Classification via Convexified Loss	0
What matters to graduate students? Experiences at a statistical consulting center from pre‐ to post‐COVID‐19 pandemic	0
On the non‐identifiability of unified skew‐normal distributions	0
Multi‐split conformal prediction via Cauchy aggregation	0
Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood	0
On Wilks' joint moment formulas for embedded principal minors of Wishart random matrices	0
Identifying Latent Group Structures With Missing Data	0
Test of independence for Hilbertian random variables	0
Adaptive Reference‐Guided Estimation of Principal Component Subspace in High Dimensions	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0
Efficient Distributed Differential Network Estimation	0
Simultaneous confidence bands for nonparametric regression with equal cluster size	0
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error	0
Robust Distance Correlation for Variable Screening	0
Inference for joint quantile and expected shortfall regression	0
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data	0
On pairwise interaction multivariate Pareto models	0
Content‐adjusted tolerance intervals via bootstrap calibration	0
Concentration of a Sparse Bayesian Model With Horseshoe Prior in Estimating High‐Dimensional Precision Matrix	0
A note on centering in subsample selection for linear regression	0
Issue Information	0
Subgroup Analysis for High‐Dimensional Latent Factor Regression	0
Determining the dimension of weighted inverse regression ensemble	0
A note on the convergence of lift zonoids of measures	0
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	0
The current landscape of academic statistical and data science collaboration units with examples	0
Model selection for generalized linear models with weak factors	0
Power and Sample Size Calculation of Two‐Sample Projection‐Based Testing for Sparsely Observed Functional Data	0
Powerful nonparametric checks for parametric single‐index quantile models with missing responses	0
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	0
Selective pivot logratio coordinates for partial least squares discriminant analysis modelling with applications in metabolomics	0
Density regression and uncertainty quantification with Bayesian deep noise neural networks	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Parsimonious mixture‐of‐experts based on mean mixture of multivariate normal distributions	0
Multilevel varying coefficient spatiotemporal model	0
Accelerating resident research within quantitative collaboration units in academic healthcare	0
Becoming a JEDI statistician	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
The art of transfer learning: An adaptive and robust pipeline	0
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data	0
A slew of mixture relationships involving discrete and continuous generalized hypergeometric distributions and their special cases	0
High‐dimensional precision matrix estimation with a known graphical structure	0
Dimensionality reduction using elastic measures	0
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs	0
Some benefits of standardisation for conditional extremes	0
A sparse empirical Bayes approach to high‐dimensional Gaussian process‐based varying coefficient models	0
A trinomial difference autoregressive model and its applications	0
Confidence intervals that utilize sparsity	0
An optimal exact interval for the risk ratio in the 2×2$$ 2\times 2 $$ table with structural zero	0
High‐dimensional differential networks with sparsity and reduced‐rank	0
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	0
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting	0
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	0
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	0
Consistent Estimation of the Number of Communities in Non‐uniform Hypergraph Model	0
An algorithm for distributed Bayesian inference	0
Sparse multivariate functional principal component analysis	0
Construction of Asymmetric Orthogonal Arrays With High Strength	0
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models	0