Stat

Article	Citations
Trend filtering for functional data	37
Construction of Some Families of Asymmetric Column‐Orthogonal Designs	19
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression	15
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics	11
Advice for isolated statisticians collaborating in academic healthcare centre settings	10
Higher order asymptotic refinements in Bell regressions	10
Semi‐parametric generalized linear model for binomial data with varying cluster sizes	9
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error	9
Spatial dynamic panel models with missing data	9
Considerations in developing a financial model for an academic statistical consulting centre	9
Bayesian hierarchical modeling on covariance valued data	8
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data	8
Community detection in attributed collaboration network for statisticians	8
Methods for building a staff workforce of quantitative scientists in academic health care	8
Tensor Train Recurrent Network Language Model Prediction	7
Statistical learning for predicting density–matrix‐based electron dynamics	7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components	7
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns	6
A general approximation to nested Bayes factors with informed priors	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
Documenting and communicating the contributions of embedded statisticians: Show me the value!	6
A Corrected Score Function Framework for Modelling Circadian Gene Expression	6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations	6
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning	5

Some non‐parametric regression models for interval‐valued functional data	5
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science	5
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models	5
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	4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials	4
An integral model for high‐accuracy and low‐accuracy experiments	4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution	4
Computational Efficient General Convolutional Layer Selection for Transfer Learning	4
Nonparanormal graph quilting with applications to calcium imaging	4
Similarity‐based clustering for patterns of extreme values	4
Using sliced inverse mean difference for dimension reduction in multivariate time series	4
Multivariate differential association analysis	4
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference	4
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion	4
Confidence Distributions for the INAR Parameter	4
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior	3
Subgroup Mediation Analysis	3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.	3
A spectral approach for the dynamic Bradley–Terry model	3
Structure recovery and trend estimation for dynamic network analysis	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
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee	3
Issue Information	3
Improved Variance Estimation From Trimmed Samples	3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations	3
Learning about an academic statistical consulting center through data	3
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence	3
A spatially adaptive large‐scale multiple‐testing procedure	3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics	3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach	3
Issue Information	3
Model averaging estimation for generalized partially linear varying‐coefficient models	3
Beta regression for double‐bounded response with correlated high‐dimensional covariates	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
Determining Spatial Correlation Structure Using a Flexible Method	3
A comparative analysis of contractual risks in statistical consulting	3
Efficient basis selection for smoothing splines via rotated lattices	3
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Survival Conformal Prediction Under Random Censoring	3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis	3
Bayesian group sequential designs for cluster‐randomized trials	3
Tell your story: Metrics of success for academic data science collaboration and consulting programs	3
A note on universal inference	3
On the construction of nested orthogonal arrays with the adjacent numbers of levels	3
An asymptotic threshold of sufficient randomness for causal inference	3
On the dissipation of ideal Hamiltonian Monte Carlo sampler	3
Mixture of Partially Linear Experts	3

Improving image classification robustness using self‐supervision	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
Variational inference for the latent shrinkage position model	2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models	2
The Grouped Horseshoe Distribution and Its Statistical Properties	2
Reducing the statistical error of generative adversarial networks using space‐filling sampling	2
Sparse covariance matrix estimation for ultrahigh dimensional data	2
Bias analysis of generalized estimating equations under measurement error and practical bias correction	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
Adaptive Testing for Segmenting Watermarked Texts From Language Models	2
Softplus negative binomial network autoregression	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems	2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson	2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries	2
Simultaneous Testing of Hypotheses and Alternatives	2
Flexible multivariate zero to k inflated power series regression model with applications	2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises	2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence	2
New bounds and search for maximin distance U‐type designs	2
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies	2
New mixed ranked set sampling variations	2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data	2
Fallacy of data‐selective inference in modelling networks	2
A multivariate normal approximation for the Dirichlet density and some applications	2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data	2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters	2
Locally Robust Alignment Between Distinct Spaces	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
An asymptotically efficient closed‐form estimator for the Dirichlet distribution	2
A note about why deep learning is deep: A discontinuous approximation perspective	2
The data science discovery program: A model for data science consulting in higher education	2
Model‐based clustering of semiparametric temporal exponential‐family random graph models	2
A single index model for longitudinal outcomes to optimize individual treatment decision rules	2
Distance‐weighted discrimination for functional data	2
A New Binomial AR(1) Process With Dependent Counting Series Driven by Explanatory Variables	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
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Issue Information	2
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes	2
A sharper bound of the Hotelling–Solomons inequality	2
Stagewise Boosting Distributional Regression	2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises	2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously	2
	2
A Discussion of “A Note on Universal Inference” by Tse and Davison	2
Modelling overdose case fatality rates over time: The collaborative process	2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective	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
Significance of modes in the torus by topological data analysis	2
Asymptotic tail properties of Poisson mixture distributions	2
Does a Large Language Model Really Speak in Human‐Like Language?	2
On estimating the selected treatment mean under a two‐stage adaptive design	2
Orthogonal designs with branching and nested factors	2
The virtual consulting company: Teaching statistical consulting through simulated experience	2
Parametric nonstationary covariance functions on spheres	2
Quantile regression with multiple proxy variables	2
Statistical inference on group Rasch mixture network models	2
Composite smoothed quantile regression	2
Optimal non‐circular designs for interference models	2
Visualisation and outlier detection for probability density function ensembles	1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data	1
A localized ensemble of approximate Gaussian processes for fast sequential emulation	1
Development of network‐guided transcriptomic risk score for disease prediction	1
Comparison of attributed network clustering approaches to analysing Seoul public bike stations	1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework	1
Construction of Optimal Orthogonal Partition	1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization	1
A latent space accumulator model for response time: Applications to cognitive assessment data	1
Crafting statistical analysis plans: A cross‐discipline approach	1
Quantile Regression with Multiple Proxy Variables	1
Spectral Clustering for Community Extraction in Networks With Background Nodes	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
Sign‐flip inference for spatial regression with differential regularisation	1
Decentralized Byzantine‐Resilient Dictionary Learning	1

A sequential design for determining the quantile curve in two‐factor sensitivity tests	1
Epsilon Consistent Mixup: Structural regularization with an adaptive consistency‐interpolation trade‐off	1
Changing presidential approval: Detecting and understanding change points in interval censored polling data	1
Second‐order preserving point process permutations	1
A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power	1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty	1
The academic collaborative statistician: Research, training and evaluation	1
Adaptive Subsampling Spectral Clustering Based on Second‐Order Neighbour Relationships for Sparse Networks	1
Estimation of the ROC curve and the area under it with complex survey data	1
A mechanistic bivariate point process model for crime pattern analysis	1
Strong Orthogonal Arrays of Near Strength Two Plus	1
Nearest Neighbour Classification Based on Imbalanced Data: A Statistical Approach	1
Variable selection for semivarying coefficient models via local averaging	1
Issue Information	1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors	1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician	1
A Functional Linear Regression for High‐Resolution 3D Faces	1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis	1
Machine collaboration	1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion	1
Issue Information	1
Consistent estimation of the number of communities in stochastic block models using cross‐validation	1
A New Semiparametric Joint Model for Clustered Interval‐Censored Data With Informative Cluster Size	1
On Large Language Models in National Security Applications	1
Enhancing CNNs With Detail Feature Module for High‐Pixel Image Classification	1
Some enhancements to DeepKriging	1
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations	1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model	1
Multivariate tests for the multi‐sample location problem based on depth function	1
Small area prediction of seat‐belt use rates using a Bayesian hierarchical unit‐level Poisson model with multivariate random effects	1
High‐dimensional non‐parametric tests for linear asset pricing models	1
Dissecting the 2015 Chinese stock market crash	1
First‐Order Mixed Autoregressive Model for Bivariate Mixed Time Series	1
Collaborative analysis for energy usage monitoring and management on a large university campus	1
Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning	1
Issue Information	1
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Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study	1
Nonparametric precedence chart with repetitive sampling	1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models	1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach	1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution	1
Model averaging‐based sufficient dimension reduction	1
Tensor factor adjustment for image classification with pervasive noises	1
Simultaneous Variable Selection and Estimation of Mixed Panel Count Data With Informative Observation Processes	1
Robust K$$ K $$‐Fold Cross‐Validation Model Averaging Prediction	1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model	1
Issue Information	1
Bootstrap Tests for Nonlinear Simplex Models	1
Fast model‐based clustering of partial records	1
A non‐stationary factor copula model for non‐Gaussian spatial data	1
The art of translational statistics	1
Sparse Bayesian predictive modelling of tumour response using radiomic features	1
Bayesian Functional Region Selection	1
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space	1
Comparing the effectiveness of k$$ k $$‐different treatments through the area under the ROC curve	1
Double verification for two‐sample covariance matrices test	1
	1
Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables	1
Gaussian Rank Verification	0
Identifying Latent Group Structures With Missing Data	0
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature	0
Decompositions of Information Criteria in Joint Model Under Probit Link for Response	0
Gaussian process regression and classification using International Classification of Disease codes as covariates	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
Becoming a JEDI statistician	0
Multi‐split conformal prediction via Cauchy aggregation	0
Scaling Up ROC‐Optimizing Support Vector Machines	0
Inference for joint quantile and expected shortfall regression	0
On the Connections Among Three Transfer Learning Paradigms	0
Parsimonious mixture‐of‐experts based on mean mixture of multivariate normal distributions	0
Issue Information	0
Simultaneous confidence bands for nonparametric regression with equal cluster size	0
High‐dimensional differential networks with sparsity and reduced‐rank	0
Do good: Strategies for leading an inclusive data science or statistics consulting team	0
Multilevel varying coefficient spatiotemporal model	0
Determining the dimension of weighted inverse regression ensemble	0
On pairwise interaction multivariate Pareto models	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
High‐dimensional precision matrix estimation with a known graphical structure	0
Robust Distance Correlation for Variable Screening	0
An algorithm for distributed Bayesian inference	0
Observational Causality Testing	0
Sparse multivariate functional principal component analysis	0
On Alleviating Spatial Confounding Issues With the Bayesian Lasso	0
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data	0
Consistent Estimation of the Number of Communities in Non‐uniform Hypergraph Model	0
Dirichlet process mixture models using matrix‐generalized half‐t distribution	0
Feature grouping and sparse principal component analysis with truncated regularization	0
Construction of Asymmetric Orthogonal Arrays With High Strength	0
A Joint Temporal Model for Hospitalizations and ICU Admissions Due to COVID‐19 in Quebec	0
A slew of mixture relationships involving discrete and continuous generalized hypergeometric distributions and their special cases	0
A note on centering in subsample selection for linear regression	0