Stat

Article	Citations
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	30
Trend filtering for functional data	14
Methods for building a staff workforce of quantitative scientists in academic health care	13
Information limits for detecting a subhypergraph	10
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	10
Spatial dynamic panel models with missing data	8
Bayesian hierarchical modeling on covariance valued data	8
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	8
Community detection in attributed collaboration network for statisticians	8
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	7
Advice for isolated statisticians collaborating in academic healthcare centre settings	7
Higher order asymptotic refinements in Bell regressions	7
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	7
Considerations in developing a financial model for an academic statistical consulting centre	7
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries	6
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions	6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	6
Statistical learning for predicting density–matrix‐based electron dynamics	6
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
A Corrected Score Function Framework for Modelling Circadian Gene Expression	6
Ensemble mapper	6
Documenting and communicating the contributions of embedded statisticians: Show me the value!	6
Allocation of COVID‐19 testing budget on a commute network of counties	5

A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan	5
Some non‐parametric regression models for interval‐valued functional data	5
An integral model for high‐accuracy and low‐accuracy experiments	5
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	5
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	5
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations	4
Issue Information	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
An asymptotic threshold of sufficient randomness for causal inference	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Multivariate differential association analysis	4
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4
Mixture of Partially Linear Experts	4
Nonparanormal graph quilting with applications to calcium imaging	4
Similarity‐based clustering for patterns of extreme values	4
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	3
Efficient basis selection for smoothing splines via rotated lattices	3
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A spectral approach for the dynamic Bradley–Terry model	3
Improving image classification robustness using self‐supervision	3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
A comparative analysis of contractual risks in statistical consulting	3
Learning about an academic statistical consulting center through data	3
Structure recovery and trend estimation for dynamic network analysis	3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach	3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint	3
Bayesian group sequential designs for cluster‐randomized trials	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
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	3
Issue Information	3
Improved Variance Estimation From Trimmed Samples	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
A note on universal inference	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications	3
Determining Spatial Correlation Structure Using a Flexible Method	3
A learning analytics case study: On class sizes in undergraduate writing courses	3
The Grouped Horseshoe Distribution and Its Statistical Properties	2
Matrix‐variate time series modelling with hidden Markov models	2
On the construction of nested orthogonal arrays with the adjacent numbers of levels	2
Optimal non‐circular designs for interference models	2
Tell your story: Metrics of success for academic data science collaboration and consulting programs	2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Statistical inference on group Rasch mixture network models	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
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	2
Bias analysis of generalized estimating equations under measurement error and practical bias correction	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
Parametric nonstationary covariance functions on spheres	2
Softplus negative binomial network autoregression	2
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
A cautionary note on the variance of empirical pair correlation function	2
Survival Conformal Prediction Under Random Censoring	2
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A spatially adaptive large‐scale multiple‐testing procedure	2
The data science discovery program: A model for data science consulting in higher education	2
Orthogonal designs with branching and nested factors	2
Significance of modes in the torus by topological data analysis	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
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets	2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics	2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model	2
Composite smoothed quantile regression	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
New mixed ranked set sampling variations	2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models	2
Model averaging estimation for generalized partially linear varying‐coefficient models	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	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
Does a Large Language Model Really Speak in Human‐Like Language?	2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
Covariance‐based low‐dimensional registration for function‐on‐function regression	2
Modelling overdose case fatality rates over time: The collaborative process	2
Variational inference for the latent shrinkage position model	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Fallacy of data‐selective inference in modelling networks	2
New bounds and search for maximin distance U‐type designs	2
Changing presidential approval: Detecting and understanding change points in interval censored polling data	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
Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning	1
On estimating the selected treatment mean under a two‐stage adaptive design	1
A latent space accumulator model for response time: Applications to cognitive assessment data	1
Flexible multivariate zero to k inflated power series regression model with applications	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
A Discussion of “A Note on Universal Inference” by Tse and Davison	1
Double verification for two‐sample covariance matrices test	1
Distance‐weighted discrimination for functional data	1
Model averaging‐based sufficient dimension reduction	1
Estimation of the ROC curve and the area under it with complex survey data	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
Construction of Optimal Orthogonal Partition	1
Tensor factor adjustment for image classification with pervasive noises	1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model	1
Issue Information	1
A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data	1
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Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	1
On Large Language Models in National Security Applications	1
Visualisation and outlier detection for probability density function ensembles	1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model	1
Sparse covariance matrix estimation for ultrahigh dimensional data	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
The art of translational statistics	1
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Quantile regression with multiple proxy variables	1
The academic collaborative statistician: Research, training and evaluation	1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies	1
Issue Information	1
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments	1
Comparison of attributed network clustering approaches to analysing Seoul public bike stations	1
A Functional Linear Regression for High‐Resolution 3D Faces	1
Machine collaboration	1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution	1

A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power	1
Bayesian Functional Region Selection	1
Issue Information	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems	1
Issue Information	1
A sharper bound of the Hotelling–Solomons inequality	1
A localized ensemble of approximate Gaussian processes for fast sequential emulation	1
Model‐based clustering of semiparametric temporal exponential‐family random graph models	1
Strong Orthogonal Arrays of Near Strength Two Plus	1
The virtual consulting company: Teaching statistical consulting through simulated experience	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
Asymptotic tail properties of Poisson mixture distributions	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries	1
Crafting statistical analysis plans: A cross‐discipline approach	1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	1
Nonparametric precedence chart with repetitive sampling	1
Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study	1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models	1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	1
Development of network‐guided transcriptomic risk score for disease prediction	1
Sign‐flip inference for spatial regression with differential regularisation	1
Robust K$$ K $$‐Fold Cross‐Validation Model Averaging Prediction	1
Some enhancements to DeepKriging	1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors	1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion	1
Variable selection for semivarying coefficient models via local averaging	1
Simultaneous confidence bands for nonparametric regression with equal cluster size	0
Efficient Distributed Differential Network Estimation	0
Sparse multivariate functional principal component analysis	0
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error	0
Determining the dimension of weighted inverse regression ensemble	0
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data	0
Issue Information	0
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression	0
A note on centering in subsample selection for linear regression	0
Construction of Asymmetric Orthogonal Arrays With High Strength	0
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics	0
Concentration of a Sparse Bayesian Model With Horseshoe Prior in Estimating High‐Dimensional Precision Matrix	0
On the non‐identifiability of unified skew‐normal distributions	0
Issue Information	0
Modified trajectory fitting estimators for multi‐regime threshold Ornstein–Uhlenbeck processes	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
Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood	0
Gaussian process regression and classification using International Classification of Disease codes as covariates	0
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	0
Powerful nonparametric checks for parametric single‐index quantile models with missing responses	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting	0
Test of independence for Hilbertian random variables	0
Parsimonious mixture‐of‐experts based on mean mixture of multivariate normal distributions	0
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Accelerating resident research within quantitative collaboration units in academic healthcare	0
Feature grouping and sparse principal component analysis with truncated regularization	0
Developing partnerships for academic data science consulting and collaboration units	0
Asymptotic normality and confidence region for Catoni's Z estimator	0
Density regression and uncertainty quantification with Bayesian deep noise neural networks	0
High‐dimensional precision matrix estimation with a known graphical structure	0
Selective pivot logratio coordinates for partial least squares discriminant analysis modelling with applications in metabolomics	0
A sparse empirical Bayes approach to high‐dimensional Gaussian process‐based varying coefficient models	0
Dimensionality reduction using elastic measures	0
Model selection for generalized linear models with weak factors	0
Multi‐split conformal prediction via Cauchy aggregation	0
The current landscape of academic statistical and data science collaboration units with examples	0
Deep spectral Q‐learning with application to mobile health	0
Becoming a JEDI statistician	0
Estimation of the average treatment effect on the treated with misclassified binary outcome	0
Adaptive Reference‐Guided Estimation of Principal Component Subspace in High Dimensions	0
Identifying Latent Group Structures With Missing Data	0
Content‐adjusted tolerance intervals via bootstrap calibration	0
Consistent Estimation of the Number of Communities in Non‐uniform Hypergraph Model	0
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models	0
Multilevel varying coefficient spatiotemporal model	0
An algorithm for distributed Bayesian inference	0
A trinomial difference autoregressive model and its applications	0
Efficient Distributed Transfer Learning for Large‐Scale Gaussian Graphic Models	0
Observational Causality Testing	0
An integral representation for inverse moments of multivariate random variables	0
Inference for joint quantile and expected shortfall regression	0
On Wilks' joint moment formulas for embedded principal minors of Wishart random matrices	0
Sub‐asymptotic motivation for new conditional multivariate extreme models	0
The art of transfer learning: An adaptive and robust pipeline	0
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs	0
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines	0
An optimal exact interval for the risk ratio in the 2×2$$ 2\times 2 $$ table with structural zero	0
On pairwise interaction multivariate Pareto models	0
Confidence intervals that utilize sparsity	0
Optimal designs for crossover model with partial interactions	0
Communication‐Efficient Distributed Gradient Descent via Random Projection	0
A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec	0
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0