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 2020-04-01 to 2024-04-01.)
ArticleCitations
K‐fold cross‐validation for complex sample surveys18
Estimation of the mean function of functional data via deep neural networks11
Community detection with nodal information: Likelihood and its variational approximation9
Likelihood‐based inference for generalized linear mixed models: Inference with the R package glmm9
Bayesian group learning for shot selection of professional basketball players8
Fast covariance parameter estimation of spatial Gaussian process models using neural networks6
Robust penalized M‐estimation for function‐on‐function linear regression5
Characteristic function and Laplace transform‐based tests for exponentiality in the presence of random right censoring5
Functional singular spectrum analysis5
Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution5
MuSP: A multistep screening procedure for sparse recovery4
Reaping what you SOW: Guidelines and strategies for writing scopes of work for statistical consulting4
Modern multiple imputation with functional data4
Gradual variance change point detection with a smoothly changing mean trend4
Non‐parametric regression for networks4
Fast model‐based clustering of partial records4
Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies4
A skew‐t quantile regression for censored and missing data4
Normalized power priors always discount historical data4
On the error in Laplace approximations of high‐dimensional integrals4
A note on universal inference4
A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications4
Special invited paper: The SCORE normalization, especially for heterogeneous network and text data3
Sparse covariance matrix estimation for ultrahigh dimensional data3
A mutual information criterion with applications to canonical correlation analysis and graphical models3
A stochastic locally diffusive model with neural network‐based deformations for global sea surface temperature3
Matrix‐variate time series modelling with hidden Markov models3
An algorithm for distributed Bayesian inference3
Directional analysis for point patterns on linear networks3
Parametric nonstationary covariance functions on spheres3
Consistency of permutation tests of independence using distance covariance, HSIC and dHSIC3
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences3
Forecasting hurricane‐related power outages via locally optimized random forests3
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics3
RankFromSets: Scalable set recommendation with optimal recall3
On a new test of fit to the beta distribution3
Robust index of confidence weighted learning for optimal individualized treatment rule estimation2
Asymptotic normality and confidence region for Catoni's Z estimator2
Trend filtering for functional data2
Information limits for detecting a subhypergraph2
Finite mixture model of hidden Markov regression with covariate dependence2
Variable selection with LASSO regression for complex survey data2
Multilevel joint modeling of hospitalization and survival in patients on dialysis2
A machine learning approach to classification for traders in financial markets2
Refined double sampling scheme with measures and application2
Improving image classification robustness using self‐supervision2
A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston2
A multivariate normal approximation for the Dirichlet density and some applications2
Anomaly detection of time series correlations via a novel Lie group structure2
Detecting changes in mean in the presence of time‐varying autocovariance2
Dirichlet process mixture models with shrinkage prior2
Community detection in attributed collaboration network for statisticians2
Sparse multivariate functional principal component analysis2
A fast algorithm for integrative community detection of multi‐layer networks2
Weighted empirical likelihood for heteroscedastic varying coefficient partially non‐linear models with missing data2
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data2
A constrained minimum method for model selection2
Content‐adjusted tolerance intervals via bootstrap calibration2
Asking great questions2
Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model2
Criticism as asynchronous collaboration: An example from social science research2
Linear regression analysis for interval‐valued functional data2
Ensemble mapper2
Fast estimators for the mean function for functional data with detection limits2
Better nonparametric confidence intervals via robust bias correction for quantile regression2
Composite likelihood ratio testing under nonstandard conditions using tangent cones2
Consistency results of the M‐regression function estimator for stationary continuous‐time and ergodic data2
Statistical significance calculations for scenarios in visual inference2
Outcome weighted ψ‐learning for individualized treatment rules2
Novel whitening approaches in functional settings2
Honest leave‐one‐out cross‐validation for estimating post‐tuning generalization error2
On the estimation bias in first‐order bifurcating autoregressive models2
Nonasymptotic support recovery for high‐dimensional sparse covariance matrices2
When will gradient methods converge to max‐margin classifier under ReLU models?2
Optimal model averaging based on leave‐h‐out forward‐validation for threshold autoregressive models1
Multilevel varying coefficient spatiotemporal model1
Stationary distribution and ergodicity of stochastic Wright's mutualism model with regime switching1
Advice for isolated statisticians collaborating in academic healthcare centre settings1
Optimal non‐circular designs for total effects under interference models1
A hierarchical meta‐analysis for settings involving multiple outcomes across multiple cohorts1
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Bias correction for nonignorable missing counts of areal HIV new diagnosis1
Spectral analysis of networks with latent space dynamics and signs1
CORRIGENDUM1
The development of a mobile app‐focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials1
Statistical consulting in the healthcare professions: A model of student‐led consulting services1
Mode merging for the finite mixture of t‐distributions1
Issue Information1
Computational procedures for quality assessment of latent concepts1
Mann–Whitney test for two‐phase stratified sampling1
On improvability of model averaging by penalized model selection1
Profile‐pseudo likelihood methods for community detection of multilayer stochastic block models1
Creating optimal conditions for reproducible data analysis in R with ‘fertile’1
On estimating the selected treatment mean under a two‐stage adaptive design1
Joint estimation of gradual variance changepoint for panel data with common structures1
James–Stein estimation of the first principal component1
An approach of Bayesian variable selection for ultrahigh‐dimensional multivariate regression1
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Expectile regression via deep residual networks1
Modernizing k‐nearest neighbors1
Sub‐asymptotic motivation for new conditional multivariate extreme models1
Approximation of the quasi‐deviance function for the time‐changed Lévy processes by the first‐exit time of the inverse Gaussian subordinator1
Chain rules for multivariate cumulant coefficients1
Hosting a data science hackathon with limited resources1
F‐type testing in functional linear models1
Linear screening for high‐dimensional computer experiments1
Efficient basis selection for smoothing splines via rotated lattices1
Standardized Dempster's non‐exact test for high‐dimensional mean vectors1
Multi‐split conformal prediction via Cauchy aggregation1
SwISS: A scalable Markov chain Monte Carlo divide‐and‐conquer strategy1
The effect of rebalancing on LDA in imbalanced classification1
Multivariate measurement error models with normal mean‐variance mixture distributions1
Dynamic copula‐based methods for estimating rank‐tracking probabilities with longitudinal data1
Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models1
Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders1
The academic collaborative statistician: Research, training and evaluation1
Dissecting the 2015 Chinese stock market crash1
Developing partnerships for academic data science consulting and collaboration units1
Multivariate tests for the multi‐sample location problem based on depth function1
Composite smoothed quantile regression1
Controlling costs: Feature selection on a budget1
Functional time series forecasting: Functional singular spectrum analysis approaches1
Collaborative analysis for energy usage monitoring and management on a large university campus1
Least favourability of the uniform distribution for tests of the concavity of a distribution function1
A high‐dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues1
Multiple third‐variable analysis for competing risk data—With an application to explore racial disparity in breast cancer recurrence1
Regularization paths of L1‐penalized ROC Curve‐Optimizing Support Vector Machines1
New mixed ranked set sampling variations1
Learning about an academic statistical consulting center through data1
Bayesian optimality and intervals for Stein‐type estimates1
Count‐valued time series models for COVID‐19 daily death dynamics1
A space‐time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data1
Data visualization case studies for high‐dimensional data validation1
Nonparametric precedence chart with repetitive sampling1
On a new class of tests for the Pareto distribution using Fourier methods1
Nonparametric regression with ordinal responses1
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations1
Sequential pathway inference for multimodal neuroimaging analysis1
Model‐based clustering of semiparametric temporal exponential‐family random graph models1
Non‐degenerate U‐statistics for data missing completely at random with application to testing independence1
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