Stat

Article	Citations
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	29
Considerations in developing a financial model for an academic statistical consulting centre	15
Spatial dynamic panel models with missing data	15
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	12
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	10
Bayesian hierarchical modeling on covariance valued data	10
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues	7
Information limits for detecting a subhypergraph	7
Community detection in attributed collaboration network for statisticians	7
Higher order asymptotic refinements in Bell regressions	7
Trend filtering for functional data	7
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	7
Methods for building a staff workforce of quantitative scientists in academic health care	7
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
Statistical learning for predicting density–matrix‐based electron dynamics	6
Documenting and communicating the contributions of embedded statisticians: Show me the value!	6
Advice for isolated statisticians collaborating in academic healthcare centre settings	6
A Corrected Score Function Framework for Modelling Circadian Gene Expression	6
Ensemble mapper	5
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	5
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	5
A general approximation to nested Bayes factors with informed priors	5
Linear regression analysis for interval‐valued functional data	4
An integral model for high‐accuracy and low‐accuracy experiments	4

Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	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
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	4
Multivariate differential association analysis	4
Allocation of COVID‐19 testing budget on a commute network of counties	4
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4
Some non‐parametric regression models for interval‐valued functional data	4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	4
Similarity‐based clustering for patterns of extreme values	4
Nonparanormal graph quilting with applications to calcium imaging	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
On the effect of rounding on hypothesis testing when sample size is large	3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics	3
Mixture of Partially Linear Experts	3
A spectral approach for the dynamic Bradley–Terry model	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Improving image classification robustness using self‐supervision	3
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	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
A note on universal inference	3
A comparative analysis of contractual risks in statistical consulting	3
Bayesian group sequential designs for cluster‐randomized trials	3
Issue Information	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
Improved Variance Estimation From Trimmed Samples	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	2
The data science discovery program: A model for data science consulting in higher education	2
Statistical inference on group Rasch mixture network models	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
A cautionary note on the variance of empirical pair correlation function	2
Tell your story: Metrics of success for academic data science collaboration and consulting programs	2
Efficient basis selection for smoothing splines via rotated lattices	2
Issue Information	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
Model averaging estimation for generalized partially linear varying‐coefficient models	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Survival Conformal Prediction Under Random Censoring	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
Nonparametric regression with ordinal responses	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2

New bounds and search for maximin distance U‐type designs	2
Outlier robust model averaging based on Sp criterion	2
Learning about an academic statistical consulting center through data	2
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	2
Variational inference for the latent shrinkage position model	2
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Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
Structure recovery and trend estimation for dynamic network analysis	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Matrix‐variate time series modelling with hidden Markov models	2
Parametric nonstationary covariance functions on spheres	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
Bias analysis of generalized estimating equations under measurement error and practical bias correction	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	2
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	2
A spatially adaptive large‐scale multiple‐testing procedure	2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	2
On the construction of nested orthogonal arrays with the adjacent numbers of levels	2
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	2
Nonparametric precedence chart with repetitive sampling	1
Composite smoothed quantile regression	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
A skew‐tquantile regression for censored and missing data	1
Orthogonal designs with branching and nested factors	1
Development of network‐guided transcriptomic risk score for disease prediction	1
The Grouped Horseshoe Distribution and Its Statistical Properties	1
Estimation of the mean function of functional data via deep neural networks	1
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	1
A method of constructing optimal sliced uniform designs under discrete discrepancy	1
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	1
Classification of longitudinal brain networks with an application to understanding superior aging	1
A multivariate normal approximation for the Dirichlet density and some applications	1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	1
	1
On the error in Laplace approximations of high‐dimensional integrals	1
Estimation of the ROC curve and the area under it with complex survey data	1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	1
Quantile regression with multiple proxy variables	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
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Covariance‐based low‐dimensional registration for function‐on‐function regression	1
Flexible multivariate zero to k inflated power series regression model with applications	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
Does a Large Language Model Really Speak in Human‐Like Language?	1
The academic collaborative statistician: Research, training and evaluation	1
A sharper bound of the Hotelling–Solomons inequality	1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	1
Optimal non‐circular designs for interference models	1
The art of translational statistics	1
Sparse covariance matrix estimation for ultrahigh dimensional data	1
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Fallacy of data‐selective inference in modelling networks	1
Model‐based clustering of semiparametric temporal exponential‐family random graph models	1
Visualisation and outlier detection for probability density function ensembles	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
High‐dimensional non‐parametric tests for linear asset pricing models	1
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	1
Double verification for two‐sample covariance matrices test	1
On estimating the selected treatment mean under a two‐stage adaptive design	1
Model averaging‐based sufficient dimension reduction	1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
A constrained minimum method for model selection	1
Crafting statistical analysis plans: A cross‐discipline approach	1
Softplus negative binomial network autoregression	1
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	1
Issue Information	1
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	1
Bayesian Functional Region Selection	1
A note about why deep learning is deep: A discontinuous approximation perspective	1
Some enhancements to DeepKriging	1
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	1

STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model	1
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	1
New mixed ranked set sampling variations	1
Changing presidential approval: Detecting and understanding change points in interval censored polling data	1
Modelling overdose case fatality rates over time: The collaborative process	1
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring	1
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Modernizing k‐nearest neighbors	1
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	1
Distance‐weighted discrimination for functional data	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
Asymptotic tail properties of Poisson mixture distributions	1
Issue Information	1
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	1
Sub‐asymptotic motivation for new conditional multivariate extreme models	0
Construction of Asymmetric Orthogonal Arrays With High Strength	0
D$$ D $$‐optimal designs for multi‐response linear models with two groups	0
On improvability of model averaging by penalized model selection	0
A slew of mixture relationships involving discrete and continuous generalized hypergeometric distributions and their special cases	0
Power and Sample Size Calculation of Two‐Sample Projection‐Based Testing for Sparsely Observed Functional Data	0
On Alleviating Spatial Confounding Issues With the Bayesian Lasso	0
Inference for joint quantile and expected shortfall regression	0
Non‐parametric regression for networks	0
Sparse Hanson–Wright inequality for a bilinear form of sub‐Gaussian variables	0
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error	0
Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood	0
Content‐adjusted tolerance intervals via bootstrap calibration	0
Optimal designs for crossover model with partial interactions	0
Issue Information	0
A note on the convergence of lift zonoids of measures	0
Concentration of a Sparse Bayesian Model With Horseshoe Prior in Estimating High‐Dimensional Precision Matrix	0
An optimal exact interval for the risk ratio in the 2×2$$ 2\times 2 $$ table with structural zero	0
Modified trajectory fitting estimators for multi‐regime threshold Ornstein–Uhlenbeck processes	0
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications	0
Tensor Landmark Analysis With Application to ADNI data	0
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	0
Homogeneity of marginal distributions for a large number of populations	0
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting	0
Gaussian process regression and classification using International Classification of Disease codes as covariates	0
On Wilks' joint moment formulas for embedded principal minors of Wishart random matrices	0
Test of independence for Hilbertian random variables	0
Density regression and uncertainty quantification with Bayesian deep noise neural networks	0
Multi‐split conformal prediction via Cauchy aggregation	0
A note on centering in subsample selection for linear regression	0
Observational Causality Testing	0
A Latent Space Approach to Inferring Distance‐Dependent Reciprocity in Directed Networks	0
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	0
Feature grouping and sparse principal component analysis with truncated regularization	0
A machine learning approach to classification for traders in financial markets	0
On a new higher order kernel for density estimation	0
Becoming a JEDI statistician	0
Dimensionality reduction using elastic measures	0
Deep spectral Q‐learning with application to mobile health	0
Parsimonious mixture‐of‐experts based on mean mixture of multivariate normal distributions	0
The current landscape of academic statistical and data science collaboration units with examples	0
The art of transfer learning: An adaptive and robust pipeline	0
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs	0
Confidence intervals that utilize sparsity	0
A sparse empirical Bayes approach to high‐dimensional Gaussian process‐based varying coefficient models	0
What matters to graduate students? Experiences at a statistical consulting center from pre‐ to post‐COVID‐19 pandemic	0
Targeted deep learning: Framework, methods, and applications	0
A New Family of Distribution‐Free Geometric Shrinkage Variances Estimators With Applications	0
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	0
Asymptotic normality and confidence region for Catoni's Z estimator	0
Efficient Distributed Differential Network Estimation	0
A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec	0
Accelerating resident research within quantitative collaboration units in academic healthcare	0
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	0
High‐dimensional precision matrix estimation with a known graphical structure	0
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines	0
Robust penalized M‐estimation for function‐on‐function linear regression	0
Determining the dimension of weighted inverse regression ensemble	0
Communication‐Efficient Distributed Gradient Descent via Random Projection	0
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data	0
On pairwise interaction multivariate Pareto models	0
Nonparametric doubly robust estimation of causal effect on networks in observational studies	0
Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors	0
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data	0
Powerful nonparametric checks for parametric single‐index quantile models with missing responses	0
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy	0
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	0
High‐dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time	0
Selective pivot logratio coordinates for partial least squares discriminant analysis modelling with applications in metabolomics	0
Model selection for generalized linear models with weak factors	0
Some benefits of standardisation for conditional extremes	0
Equivalence testing for multiple groups	0
Function‐Valued Marked Spatial Point Processes on Linear Networks: Application to Urban Cycling Profiles	0
On the non‐identifiability of unified skew‐normal distributions	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Developing partnerships for academic data science consulting and collaboration units	0
An algorithm for distributed Bayesian inference	0
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0
An integral representation for inverse moments of multivariate random variables	0
A trinomial difference autoregressive model and its applications	0