Stat

Papers
(The median citation count of Stat is 0. 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 2020-09-01 to 2024-09-01.)
ArticleCitations
K‐fold cross‐validation for complex sample surveys24
Estimation of the mean function of functional data via deep neural networks12
Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm12
Bayesian group learning for shot selection of professional basketball players11
Community detection with nodal information: Likelihood and its variational approximation10
Fast covariance parameter estimation of spatial Gaussian process models using neural networks9
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring7
A comprehensive survey of collaborative biostatistics units in academic health centers7
The academic collaborative statistician: Research, training and evaluation7
Modern multiple imputation with functional data6
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution6
A note on universal inference6
Robust penalized M‐estimation for function‐on‐function linear regression6
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting6
Advice for isolated statisticians collaborating in academic healthcare centre settings6
Variable selection with LASSO regression for complex survey data6
Normalized power priors always discount historical data5
Functional singular spectrum analysis5
A skew‐tquantile regression for censored and missing data5
On the error in Laplace approximations of high‐dimensional integrals5
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error5
Gradual variance change point detection with a smoothly changing mean trend5
MuSP: A multistep screening procedure for sparse recovery5
Special invited paper: The SCORE normalization, especially for heterogeneous network and text data5
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies5
Fast model‐based clustering of partial records4
Statistical significance calculations for scenarios in visual inference4
Non‐parametric regression for networks4
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications4
Matrix‐variate time series modelling with hidden Markov models4
An algorithm for distributed Bayesian inference4
Community detection in attributed collaboration network for statisticians4
Parametric nonstationary covariance functions on spheres3
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics3
Trend filtering for functional data3
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC3
RankFromSets: Scalable set recommendation with optimal recall3
Statistical consulting in the healthcare professions: A model of student‐led consulting services3
Collaborative biostatistics and epidemiology in academic medical centres: A survey to assess relationships with health researchers and ethical implications3
Asking great questions3
Directional analysis for point patterns on linear networks3
Detecting changes in mean in the presence of time‐varying autocovariance3
A mutual information criterion with applications to canonical correlation analysis and graphical models3
A fast algorithm for integrative community detection of multi‐layer networks3
Information limits for detecting a subhypergraph3
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences3
Sparse covariance matrix estimation for ultrahigh dimensional data3
On the estimation bias in first‐order bifurcating autoregressive models3
A multivariate normal approximation for the Dirichlet density and some applications3
Nonparametric precedence chart with repetitive sampling3
Multilevel joint modeling of hospitalization and survival in patients on dialysis3
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature3
On a new test of fit to the beta distribution3
Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers3
Novel whitening approaches in functional settings3
Forecasting hurricane‐related power outages via locally optimized random forests3
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model3
When will gradient methods converge to max‐margin classifier under ReLU models?2
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data2
Ensemble mapper2
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Modernizing k‐nearest neighbors2
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts2
Learning about an academic statistical consulting center through data2
Sparse multivariate functional principal component analysis2
Outcome weighted ψ‐learning for individualized treatment rules2
Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models2
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations2
Refined double sampling scheme with measures and application2
Developing partnerships for academic data science consulting and collaboration units2
Linear screening for high‐dimensional computer experiments2
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices2
Robust index of confidence weighted learning for optimal individualized treatment rule estimation2
Asymptotic normality and confidence region for Catoni's Z estimator2
Fast estimators for the mean function for functional data with detection limits2
Composite likelihood ratio testing under nonstandard conditions using tangent cones2
On a new class of tests for the Pareto distribution using Fourier methods2
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Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders2
Better nonparametric confidence intervals via robust bias correction for quantile regression2
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data2
Model‐based clustering of semiparametric temporal exponential‐family random graph models2
A machine learning approach to classification for traders in financial markets2
Content‐adjusted tolerance intervals via bootstrap calibration2
Criticism as asynchronous collaboration: An example from social science research2
A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston2
Dirichlet process mixture models with shrinkage prior2
Linear regression analysis for interval‐valued functional data2
Anomaly detection of time series correlations via a novel Lie group structure2
Estimation of the ROC curve and the area under it with complex survey data2
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data2
The effect of rebalancing on LDA in imbalanced classification2
Finite mixture model of hidden Markov regression with covariate dependence2
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines2
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data2
A constrained minimum method for model selection2
Improving image classification robustness using self‐supervision2
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching2
A trinomial difference autoregressive model and its applications1
Expectile regression via deep residual networks1
Multi‐step‐ahead prediction interval for locally stationary time series with application to air pollutant concentration data1
Multiple third‐variable analysis for competing risk data—With an application to explore racial disparity in breast cancer recurrence1
A localized ensemble of approximate Gaussian processes for fast sequential emulation1
James–Stein estimation of the first principal component1
CORRIGENDUM1
Image registration for zooming: A statistically consistent local feature mapping approach1
Better together: Extending JMP® with open‐source software1
Dynamic copula‐based methods for estimating rank‐tracking probabilities with longitudinal data1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors1
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Issue Information1
Spectral analysis of networks with latent space dynamics and signs1
Reducing the statistical error of generative adversarial networks using space‐filling sampling1
The virtual consulting company: Teaching statistical consulting through simulated experience1
On improvability of model averaging by penalized model selection1
On estimating the selected treatment mean under a two‐stage adaptive design1
Bayesian outcome selection modeling1
Multivariate measurement error models with normal mean‐variance mixture distributions1
Variational inference on a Bayesian adaptive lasso Tobit quantile regression model1
Homogeneity of marginal distributions for a large number of populations1
Joint estimation of gradual variance changepoint for panel data with common structures1
Creating optimal conditions for reproducible data analysis in R with ‘fertile’1
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression1
Sequential pathway inference for multimodal neuroimaging analysis1
High‐dimensional precision matrix estimation with a known graphical structure1
F‐type testing in functional linear models1
Similarity‐based clustering for patterns of extreme values1
Semiparametric Bayes instrumental variable estimation with many weak instruments1
Chain rules for multivariate cumulant coefficients1
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials1
Multilevel varying coefficient spatiotemporal model1
Inference for joint quantile and expected shortfall regression1
Optimal non‐circular designs for total effects under interference models1
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator1
Bias correction for nonignorable missing counts of areal HIV new diagnosis1
Sub‐asymptotic motivation for new conditional multivariate extreme models1
Hosting a data science hackathon with limited resources1
Biostatistics deserts and scholarly productivity among US medical schools1
New mixed ranked set sampling variations1
A Discussion of “A Note on Universal Inference” by Tse and Davison1
Double verification for two‐sample covariance matrices test1
Computational procedures for quality assessment of latent concepts1
Bayesian group sequential designs for cluster‐randomized trials1
Covariate‐adaptive randomization with variable selection in clinical trials1
An integral representation for inverse moments of multivariate random variables1
Mode merging for the finite mixture of t‐distributions1
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models1
Equivalence testing for multiple groups1
Composite smoothed quantile regression1
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence1
Data visualization case studies for high‐dimensional data validation1
Softplus negative binomial network autoregression1
Mediation analysis with latent factors using simultaneous group‐wise and parameter‐wise penalization1
A note on centering in subsample selection for linear regression1
Multivariate tests for the multi‐sample location problem based on depth function1
Changing presidential approval: Detecting and understanding change points in interval censored polling data1
Bayesian optimality and intervals for Stein‐type estimates1
Collaborative analysis for energy usage monitoring and management on a large university campus1
Multi‐split conformal prediction via Cauchy aggregation1
Functional time series forecasting: Functional singular spectrum analysis approaches1
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues1
Count‐valued time series models for COVID‐19 daily death dynamics1
Least favourability of the uniform distribution for tests of the concavity of a distribution function1
Controlling costs: Feature selection on a budget1
Efficient basis selection for smoothing splines via rotated lattices1
Nonparametric regression with ordinal responses1
Dissecting the 2015 Chinese stock market crash1
On the non‐identifiability of unified skew‐normal distributions1
Low‐rank approximation for smoothing spline via eigensystem truncation1
Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihood1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models1
A learning analytics case study: On class sizes in undergraduate writing courses1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy1
Modified trajectory fitting estimators for multi‐regime threshold Ornstein–Uhlenbeck processes1
On the use of ordered factors as explanatory variables1
Maximum a posteriori estimation in graphical models using local linear approximation1
Exact confidence intervals for the difference of two proportions based on partially observed binary data0
Sparse Hanson–Wright inequality for a bilinear form of sub‐Gaussian variables0
Dirichlet process mixture models using matrix‐generalized half‐t distribution0
Estimating average treatment effect on the treated via sufficient dimension reduction0
Visualizing the food landscape of Durham, North Carolina0
Efficient estimation for the proportional hazards model with left‐truncated and interval‐censored data0
Statistical learning for predicting density–matrix‐based electron dynamics0
Bayesian hierarchical modeling on covariance valued data0
Orthogonal designs with branching and nested factors0
High‐dimensional non‐parametric tests for linear asset pricing models0
Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization0
Bias analysis of generalized estimating equations under measurement error and practical bias correction0
Crafting statistical analysis plans: A cross‐discipline approach0
Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises0
Deep spectral Q‐learning with application to mobile health0
Hierarchical modeling of irregularly spaced financial returns0
Table inference for combinatorial origin‐destination choices in agent‐based population synthesis0
Using extreme value theory to evaluate the leading pedestrian interval road safety intervention0
Development of network‐guided transcriptomic risk score for disease prediction0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error0
Outlier robust model averaging based on Sp criterion0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
How to write about alternatives to classical hypothesis testing outside of the statistical literature: Approximate Bayesian model selection applied to a biomechanics study0
Bayesian inference for polycrystalline materials0
Goodness‐of‐fit test for semiparametric copula models with bivariate interval‐censored data0
Gaussian process regression and classification using International Classification of Disease codes as covariates0
Optimal designs for crossover model with partial interactions0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
Causal inference in the presence of missing data using a random forest‐based matching algorithm0
Visual tests for elliptically symmetric distributions0
Score‐based test in high‐dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data0
Equity‐weighted bootstrapping: Examples and analysis0
Spatial dynamic panel models with missing data0
Graph sampling by lagged random walk0
Test of independence for Hilbertian random variables0
A single index model for longitudinal outcomes to optimize individual treatment decision rules0
A unified approach for outliers and influential data detection: The value of information in retrospect0
Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method0
Issue Information0
CoxKnockoff: Controlled feature selection for the Cox model using knockoffs0
Do good: Strategies for leading an inclusive data science or statistics consulting team0
Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data0
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Deep learning models to predict primary open‐angle glaucoma0
Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework0
Considerations in developing a financial model for an academic statistical consulting centre0
Non‐asymptotic moment bounds for random variables rounded to non‐uniformly spaced sets0
A Discussion of “A Note on Universal Inference” by Tse and Davison0
Simultaneous confidence bands for nonparametric regression with equal cluster size0
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization0
Semi‐parametric generalized linear model for binomial data with varying cluster sizes0
Comparison between continuous and periodic inspections in step‐stress tests0
Convergence rate for nonparametric quantile regression with a total variation penalty0
An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models0
A partial EM algorithm for model‐based clustering with highly diverse missing data patterns0
Targeted deep learning: Framework, methods, and applications0
Model averaging‐based sufficient dimension reduction0
Observation‐driven exponential smoothing0
Statistical inference on group Rasch mixture network models0
Higher order asymptotic refinements in Bell regressions0
How a novel partnership, to support rural healthcare teams, changed how we define what it means to be a practicing statistician0
Maximum likelihood estimation and the local asymptotic mixed normality in a second‐order branching process with continuous state space0
High‐dimensional differential networks with sparsity and reduced‐rank0
Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation0
A general approximation to nested Bayes factors with informed priors0
Methods for building a staff workforce of quantitative scientists in academic health care0
New bounds and search for maximin distance U‐type designs0
Visualisation and outlier detection for probability density function ensembles0
Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics0
On a new higher order kernel for density estimation0
Variational inference for the latent shrinkage position model0
A cautionary note on the variance of empirical pair correlation function0
Issue Information0
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