Stat

Papers
(The TQCC 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 2021-05-01 to 2025-05-01.)
ArticleCitations
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error29
Spatial dynamic panel models with missing data15
Considerations in developing a financial model for an academic statistical consulting centre15
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data12
Bayesian hierarchical modeling on covariance valued data10
Semi‐parametric generalized linear model for binomial data with varying cluster sizes10
Higher order asymptotic refinements in Bell regressions7
Trend filtering for functional data7
Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics7
Methods for building a staff workforce of quantitative scientists in academic health care7
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues7
Information limits for detecting a subhypergraph7
Community detection in attributed collaboration network for statisticians7
Statistical learning for predicting density–matrix‐based electron dynamics6
Documenting and communicating the contributions of embedded statisticians: Show me the value!6
Advice for isolated statisticians collaborating in academic healthcare centre settings6
A Corrected Score Function Framework for Modelling Circadian Gene Expression6
Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components6
Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations6
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns5
The student staffing advantage: Data Science Consulting Service at NC State University Libraries5
A general approximation to nested Bayes factors with informed priors5
Ensemble mapper5
Some non‐parametric regression models for interval‐valued functional data4
A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science4
Similarity‐based clustering for patterns of extreme values4
Nonparanormal graph quilting with applications to calcium imaging4
Using sliced inverse mean difference for dimension reduction in multivariate time series4
Linear regression analysis for interval‐valued functional data4
An integral model for high‐accuracy and low‐accuracy experiments4
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions4
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials4
A modified SEIR model with a jump in the transmission parameter applied to COVID‐19 data on Wuhan4
Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning4
Multivariate differential association analysis4
Allocation of COVID‐19 testing budget on a commute network of counties4
Computational Efficient General Convolutional Layer Selection for Transfer Learning4
Nonparametric Estimation of Bivariate Mean Residual Life for Right‐Censored Observations3
An asymptotic threshold of sufficient randomness for causal inference3
Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee3
A note on universal inference3
A comparative analysis of contractual risks in statistical consulting3
Bayesian group sequential designs for cluster‐randomized trials3
Issue Information3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications3
Adaptive Learning in Robust Linear Regression With a Semiparametric Skew‐Normal Scale Mixture Distribution3
On the dissipation of ideal Hamiltonian Monte Carlo sampler3
Improved Variance Estimation From Trimmed Samples3
Determining Spatial Correlation Structure Using a Flexible Method3
Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach3
Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion3
A learning analytics case study: On class sizes in undergraduate writing courses3
On the effect of rounding on hypothesis testing when sample size is large3
Augmenting Intelligence: The Convergence of ML/LLMs and Statistics3
Mixture of Partially Linear Experts3
A spectral approach for the dynamic Bradley–Terry model3
Beta regression for double‐bounded response with correlated high‐dimensional covariates3
Novel Closed‐Form Point Estimators for a Weighted Exponential Family Derived From Likelihood Equations3
Improving image classification robustness using self‐supervision3
Learning about an academic statistical consulting center through data2
Disentangling the impact of nested sources of variability on species growth processes: A mixture of multilevel mixed model approach.2
On the construction of nested orthogonal arrays with the adjacent numbers of levels2
Variational inference for the latent shrinkage position model2
Robust nonparametric estimation of average treatment effects: A propensity score‐based varying coefficient approach2
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Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint2
A single index model for longitudinal outcomes to optimize individual treatment decision rules2
Parametric nonstationary covariance functions on spheres2
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models2
Bias analysis of generalized estimating equations under measurement error and practical bias correction2
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data2
Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective2
Estimation of Expectile‐Based Marginal Expected Shortfall Under Asymptotic Independence2
Model averaging estimation for generalized partially linear varying‐coefficient models2
Utilizing latent connectivity among mediators in high‐dimensional mediation analysis2
Survival Conformal Prediction Under Random Censoring2
A spatially adaptive large‐scale multiple‐testing procedure2
A new Bayesian lasso and ridge regression with a practically meaningful parameterization and a simple weakly informative prior2
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets2
A Note on Confidence Intervals for a Binomial p: Andersson–Nerman vs. Wilson2
The data science discovery program: A model for data science consulting in higher education2
Statistical inference on group Rasch mixture network models2
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics2
A cautionary note on the variance of empirical pair correlation function2
Tell your story: Metrics of success for academic data science collaboration and consulting programs2
Efficient basis selection for smoothing splines via rotated lattices2
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises2
Issue Information2
Structure recovery and trend estimation for dynamic network analysis2
Reducing the statistical error of generative adversarial networks using space‐filling sampling2
Matrix‐variate time series modelling with hidden Markov models2
A Discussion of “A Note on Universal Inference” by Tse and Davison2
Significance of modes in the torus by topological data analysis2
Nonparametric regression with ordinal responses2
Online Bayesian Variable Selection and Bayesian Model Averaging for Streaming Data2
New bounds and search for maximin distance U‐type designs2
Outlier robust model averaging based on Sp criterion2
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring1
1
Modelling overdose case fatality rates over time: The collaborative process1
Modernizing k‐nearest neighbors1
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space1
Distance‐weighted discrimination for functional data1
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician1
Asymptotic tail properties of Poisson mixture distributions1
Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters1
Issue Information1
Composite smoothed quantile regression1
Nonparametric precedence chart with repetitive sampling1
A Discussion of “A Note on Universal Inference” by Tse and Davison1
A skew‐tquantile regression for censored and missing data1
Orthogonal designs with branching and nested factors1
Development of network‐guided transcriptomic risk score for disease prediction1
The Grouped Horseshoe Distribution and Its Statistical Properties1
Estimation of the mean function of functional data via deep neural networks1
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching1
A method of constructing optimal sliced uniform designs under discrete discrepancy1
Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises1
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data1
A multivariate normal approximation for the Dirichlet density and some applications1
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis1
Classification of longitudinal brain networks with an application to understanding superior aging1
On the error in Laplace approximations of high‐dimensional integrals1
Estimation of the ROC curve and the area under it with complex survey data1
1
A Practical Tool for Visualizing and Measuring Model Selection Uncertainty1
Quantile regression with multiple proxy variables1
Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systems1
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization1
A Discussion of “A Note on Universal Inference” by Tse and Davison1
Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach1
Covariance‐based low‐dimensional registration for function‐on‐function regression1
1
Flexible multivariate zero to k inflated power series regression model with applications1
The virtual consulting company: Teaching statistical consulting through simulated experience1
Does a Large Language Model Really Speak in Human‐Like Language?1
The academic collaborative statistician: Research, training and evaluation1
A sharper bound of the Hotelling–Solomons inequality1
Concentration and Model Selection Consistency of the Group Lasso for α$$ \alpha $$‐Mixing Errors1
Optimal non‐circular designs for interference models1
The art of translational statistics1
General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models1
Multivariate tests for the multi‐sample location problem based on depth function1
Sparse covariance matrix estimation for ultrahigh dimensional data1
Model‐based clustering of semiparametric temporal exponential‐family random graph models1
Visualisation and outlier detection for probability density function ensembles1
Fallacy of data‐selective inference in modelling networks1
Collaborative analysis for energy usage monitoring and management on a large university campus1
High‐dimensional non‐parametric tests for linear asset pricing models1
Spatial Extremal Modelling: A Case Study on the Interplay Between Margins and Dependence1
Double verification for two‐sample covariance matrices test1
On estimating the selected treatment mean under a two‐stage adaptive design1
Regression Analysis of the Generalized Accelerated Hazards Models With Interval‐Censored Data Under Case‐Cohort Studies1
Model averaging‐based sufficient dimension reduction1
A constrained minimum method for model selection1
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework1
Softplus negative binomial network autoregression1
Crafting statistical analysis plans: A cross‐discipline approach1
An asymptotically efficient closed‐form estimator for the Dirichlet distribution1
Issue Information1
Strong consistency estimators of the Brennan‐Schwartz diffusion process based on martingales approach1
Bayesian Functional Region Selection1
A note about why deep learning is deep: A discontinuous approximation perspective1
Some enhancements to DeepKriging1
Grouped rank centrality: Ranking and grouping from pairwise comparisons simultaneously1
STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model1
New mixed ranked set sampling variations1
Changing presidential approval: Detecting and understanding change points in interval censored polling data1
The Pairwise Matching Design Is Optimal Under Extreme Noise and Extreme Assignments1
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