Stat

Papers
(The median citation count of Stat is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Higher order asymptotic refinements in Bell regressions25
Advice for isolated statisticians collaborating in academic healthcare centre settings12
Considerations in developing a financial model for an academic statistical consulting centre12
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data11
Bayesian hierarchical modeling on covariance valued data11
Semi‐parametric generalized linear model for binomial data with varying cluster sizes11
Methods for building a staff workforce of quantitative scientists in academic health care10
Community detection in attributed collaboration network for statisticians10
Spatial dynamic panel models with missing data10
Construction of Some Families of Asymmetric Column‐Orthogonal Designs9
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics9
Tensor Train Recurrent Network Language Model Prediction8
Bayesian Period‐Varying Poisson Modelling With Reduced‐Rank Regression8
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error8
Documenting and communicating the contributions of embedded statisticians: Show me the value!8
Trend filtering for functional data8
Optimal Selection of Parameter‐Wise Shrinkage Parameters in Penalized Regression Models8
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models7
A Corrected Score Function Framework for Modelling Circadian Gene Expression7
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components7
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations6
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions6
Inferences Based on Burg Entropy Measures6
A general approximation to nested Bayes factors with informed priors6
The student staffing advantage: Data Science Consulting Service at NC State University Libraries6
An integral model for high‐accuracy and low‐accuracy experiments5
Lasso Penalization for High‐Dimensional Beta Regression Models: Computation, Analysis, and Inference5
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials5
Differentially Private Upper Bounds for Covariance and Inverse Covariance Matrices5
Computational Efficient General Convolutional Layer Selection for Transfer Learning5
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan5
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning5
Multivariate differential association analysis5
Confidence Distributions for the INAR Parameter5
An asymptotic threshold of sufficient randomness for causal inference4
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications4
Mixture of Partially Linear Experts4
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics4
Issue Information4
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee4
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations4
4
A note on universal inference4
On the effect of rounding on hypothesis testing when sample size is large4
A learning analytics case study: On class sizes in undergraduate writing courses4
Nonparanormal graph quilting with applications to calcium imaging4
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion4
Semiparametric Regression for Spatial Anisotropic Data With Unknown Forcing Terms in the Prior PDE4
Using sliced inverse mean difference for dimension reduction in multivariate time series4
Determining Spatial Correlation Structure Using a Flexible Method4
On the dissipation of ideal Hamiltonian Monte Carlo sampler4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science4
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution4
Similarity‐based clustering for patterns of extreme values4
3
Efficient basis selection for smoothing splines via rotated lattices3
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective3
Adaptive Testing for Segmenting Watermarked Texts From Language Models3
A spatially adaptive large‐scale multiple‐testing procedure3
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint3
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.3
Note on High‐Dimensional Spatial–Sign Test for One‐Sample Problem3
Structure recovery and trend estimation for dynamic network analysis3
Improved Variance Estimation From Trimmed Samples3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations3
Issue Information3
Learning about an academic statistical consulting center through data3
Bayesian group sequential designs for cluster‐randomized trials3
Reducing the statistical error of generative adversarial networks using space‐filling sampling3
Locally Robust Alignment Between Distinct Spaces3
A Discussion of “A Note on Universal Inference” by Tse and Davison3
Survival Conformal Prediction Under Random Censoring3
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence3
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach3
A comparative analysis of contractual risks in statistical consulting3
Beta regression for double‐bounded response with correlated high‐dimensional covariates3
Power Enhancement Test on High‐Dimensional Regression Coefficients of Partially Linear Models3
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior3
New bounds and search for maximin distance U‐type designs3
Canonical Causal Analysis Between Multivariate Continuous Treatments and Outcomes3
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data3
Model averaging estimation for generalized partially linear varying‐coefficient models3
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis3
Subgroup Mediation Analysis3
Tell your story: Metrics of success for academic data science collaboration and consulting programs3
Semiparametric Analysis of Informatively Double‐Censored Data Under Generalized Accelerated Hazards Models3
On the construction of nested orthogonal arrays with the adjacent numbers of levels3
CIBM: A Clustering Algorithm for Multi‐Layer Network via Rescaled Interlacing Balance Measure3
A spectral approach for the dynamic Bradley–Terry model3
Stagewise Boosting Distributional Regression2
Quantile regression with multiple proxy variables2
VDSAgents: A PCS‐Guided Multi‐Agent System for Veridical Data Science Automation2
On estimating the selected treatment mean under a two‐stage adaptive design2
Softplus negative binomial network autoregression2
Non‐Elliptical Dimension Reduction in Survival Regression2
A note about why deep learning is deep: A discontinuous approximation perspective2
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters2
Optimal non‐circular designs for interference models2
Bayesian Adaptive Polynomial Chaos Expansions2
A single index model for longitudinal outcomes to optimize individual treatment decision rules2
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach2
Significance of modes in the torus by topological data analysis2
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments2
Learning Low‐Dimensional Representations via Generalized Reduced Rank Regression2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics2
Distance‐weighted discrimination for functional data2
Bootstrap Tests for Nonlinear Simplex Models2
Does a Large Language Model Really Speak in Human‐Like Language?2
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence2
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously2
Sparse covariance matrix estimation for ultrahigh dimensional data2
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models2
A Hierarchical Bayesian Framework for Spatially Varying Coefficient Models With Copula‐Based Dependence2
A Note on Confidence Intervals for a Binomial p : Andersson–Nerman vs. Wilson2
2
The data science discovery program: A model for data science consulting in higher education2
Modelling overdose case fatality rates over time: The collaborative process2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data2
Issue Information2
A Note on the Identifiability of the Degree‐Corrected Stochastic Block Model2
2
A Two‐Stage Least Squares Estimator for Grouped Multilayer Network Autoregression With Fixed Effects2
Model‐Agnostic Influential Outlier Metric2
Where Does the Tail Start? Inflection Points and Maximum Curvature as Boundaries2
An asymptotically efficient closed‐form estimator for the Dirichlet distribution2
Composite smoothed quantile regression2
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
Simultaneous Testing of Hypotheses and Alternatives2
The Grouped Horseshoe Distribution and Its Statistical Properties2
Variational inference for the latent shrinkage position model2
Fallacy of data‐selective inference in modelling networks2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
A sharper bound of the Hotelling–Solomons inequality2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models2
A New Binomial AR(1) Process With Dependent Counting Series Driven by Explanatory Variables2
A Nonparametric Test of Multivariate Independence Using Graphs2
Estimation of the ROC curve and the area under it with complex survey data1
A distribution on ℤ via perturbing the Laplace distribution with applications to finance and health data1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors1
Sequential Design for Quantile Estimation in Multifactor Sensitivity Experiments1
Double verification for two‐sample covariance matrices test1
Second‐order preserving point process permutations1
Issue Information1
Moderate Deviation Principle for the Determinant of Sample Correlation Matrix1
Nearest Neighbour Classification Based on Imbalanced Data: A Statistical Approach1
First‐Order Mixed Autoregressive Model for Bivariate Mixed Time Series1
A Novel Forecasting Method Based on Markov‐Weighted Fuzzy Logical Relationships and F‐Transform1
Tensor factor adjustment for image classification with pervasive noises1
Observation‐Driven Random Coefficient Threshold INAR Models for Count Time Series1
Simultaneous Variable Selection and Estimation of Mixed Panel Count Data With Informative Observation Processes1
Machine collaboration1
A New Method for Regression Analysis of Case–Cohort Interval‐Censored Failure Time Data1
A mechanistic bivariate point process model for crime pattern analysis1
Strong Orthogonal Arrays of Near Strength Two Plus1
Weighted Estimation of Conditional Average Treatment Effect Function With Adjusted Covariate Mismeasurement1
Numerical Computation of the Rosenblatt Distribution and Applications1
Adaptive Subsampling Spectral Clustering Based on Second‐Order Neighbour Relationships for Sparse Networks1
A non‐stationary factor copula model for non‐Gaussian spatial data1
Conformal Prediction for Distributed Data1
Asymptotic tail properties of Poisson mixture distributions1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems1
Quantile Regression with Multiple Proxy Variables1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data1
1
On Large Language Models in National Security Applications1
1
Spectral Clustering for Community Extraction in Networks With Background Nodes1
Robust K‐Fold Cross‐Validation Model Averaging Prediction1
Predicting resident satisfaction with public schools in small town Iowa1
Construction of Uniform Projection Designs1
Decentralized Byzantine‐Resilient Primal–Dual Fixed Point Algorithm for Blockwise Low‐Rank Matrix Learning1
Bayesian Functional Region Selection1
Bias correction for nonignorable missing counts of areal HIV new diagnosis1
The academic collaborative statistician: Research, training and evaluation1
Issue Information1
Development of network‐guided transcriptomic risk score for disease prediction1
Statistical consulting in the healthcare professions: A model of student‐led consulting services1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach1
The art of translational statistics1
1
Likelihood‐based inference for linear mixed‐effects models using the generalized hyperbolic distribution1
A Functional Linear Regression for High‐Resolution 3D Faces1
Functional clustering on a sphere via Riemannian functional principal components1
Visualisation and outlier detection for probability density function ensembles1
The value of flexible funding for collaborative biostatistics units in universities and academic medical centres1
An Efficient Algorithm for Exact Segmentation of Large Compositional and Categorical Time Series1
High‐dimensional non‐parametric tests for linear asset pricing models1
Minimax Simple Bayes Estimators of a Normal Variance1
Sign‐flip inference for spatial regression with differential regularisation1
A localized ensemble of approximate Gaussian processes for fast sequential emulation1
Variable selection for semivarying coefficient models via local averaging1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies1
Flexible multivariate zero to k inflated power series regression model with applications1
An Empirical Bayes Algorithm for Variable Selection With Applications in Genetic Fine‐Mapping1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician1
Enhancing CNNs With Detail Feature Module for High‐Pixel Image Classification1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model1
Collaborative analysis for energy usage monitoring and management on a large university campus1
Statistical Inference for Clustering‐Based Anomaly Detection1
Issue Information1
A sequential design for determining the quantile curve in two‐factor sensitivity tests1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis1
New penalty in information criteria for the ARCH sequence with structural changes1
A New Semiparametric Joint Model for Clustered Interval‐Censored Data With Informative Cluster Size1
Comparing the effectiveness of k$$ k $$‐different treatments through the area under the ROC curve1
Highly Flexible Poisson–Tweedie Integer‐Valued GARCH Models With Automatic Adaptation to Dispersion1
Normalized power priors always discount historical data1
Nonparametric precedence chart with repetitive sampling1
Construction of Optimal Orthogonal Partition1
A Two‐Stage Block Screening Framework for Ultra‐High Dimensional Tensor Feature1
Accounting for extra‐binomial variability with differentially expressed genetic pathway data: A collaborative bioinformatic study1
A comprehensive survey of collaborative biostatistics units in academic health centers1
High‐Dimensional Regression With Missing Data: An Asymptotic Study1
A latent space accumulator model for response time: Applications to cognitive assessment data1
On the asymptotic properties of a bagging estimator with a massive dataset1
Subgroup Testing in Threshold Quantile Regression Model1
A New Spectral‐Based Goodness‐of‐Fit for Stochastic Block Models With Strong Power1
Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings1
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models1
The virtual consulting company: Teaching statistical consulting through simulated experience1
Decentralized Byzantine‐Resilient Dictionary Learning1
Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model1
Crafting statistical analysis plans: A cross‐discipline approach1
E‐BH Based Interaction Identification for Classification With Ultra‐High Dimensional Binary Features1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization1
Small area prediction of seat‐belt use rates using a Bayesian hierarchical unit‐level Poisson model with multivariate random effects1
Some enhancements to DeepKriging1
0.094022989273071