Statistical Papers

Papers
(The TQCC of Statistical Papers is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Discrete mixture representations of spherical distributions41
Weighted U-statistics for likelihood-ratio ordering of bivariate data36
Robust signal dimension estimation via SURE32
Modified maximum likelihood estimator for censored linear regression model with two-piece generalized t distribution23
Communication-efficient model averaging prediction for massive data with asymptotic optimality17
Semiparametric estimation in generalized additive partial linear models with nonignorable nonresponse data16
The general linear hypothesis testing problem for multivariate functional data with applications16
Copula hurdle GARCH models for multivariate non-negative time series13
Simple and unified proof of the joint or marginal density function of order statistics13
Global Fréchet regression from time correlated bivariate curve data in manifolds13
New copula families and mixing properties12
Improved shrinkage estimators in the beta regression model with application in econometric and educational data12
On the test of covariance between two high-dimensional random vectors12
Bounded data modeling using logit-skew-normal mixtures11
A small-sample Bayesian information criterion that does not overstate the evidence, with an application to calibrating p-values from likelihood-ratio tests10
Letter to the editors10
Discrimination between Gaussian process models: active learning and static constructions10
Editorial for the special issue for mODa 13: model-oriented data analysis and optimum design9
Estimation of the population mean under imperfect simple Z ranked set sampling9
Overlapping community detection in weighted networks9
High-dimensional properties for empirical priors in linear regression with unknown error variance9
Prediction in regression models with continuous observations9
Threshold estimation under strong dependence9
Accounting for outliers in optimal subsampling methods9
New insights into adaptive enrichment designs9
Modeling complex life systems: Bayesian inference for Weibull failure times using adaptive MCMC9
Space-filling designs with a Dirichlet distribution for mixture experiments8
Correction to: Some properties of the unified skew-normal distribution8
Robustness of a truncated estimator for the smaller of two ordered means8
Online convex optimization for survival analysis: an adaptive and stochastic approach8
Adaptive elastic net penalized high-dimensional quantile regression models with generalized coordinate descent algorithm7
A dimension reduction factor approach for multivariate time series with long-memory: a robust alternative method7
Statistical analysis and first-passage-time applications of a lognormal diffusion process with multi-sigmoidal logistic mean7
Identification of canonical models for vectors of time series: a subspace approach7
Generalised score distribution: underdispersed continuation of the beta-binomial distribution7
A non-classical parameterization for density estimation using sample moments7
On the distribution of sample scale-free scatter matrices7
Optimal prediction for quantiles and probabilities7
Testing practical relevance of treatment effects7
A sequential feature selection approach to change point detection in mean-shift change point models7
Compositional cubes: a new concept for multi-factorial compositions6
D-optimal and nearly D-optimal exact designs for binary response on the ball6
Hypothesis testing for varying coefficient models in tail index regression6
Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy distribution6
Mean convergence theorems for arrays of dependent random variables with applications to dependent bootstrap and non-homogeneous Markov chains6
Order-of-addition experiments with order constraints6
Nonparametric estimator of the tail dependence coefficient: balancing bias and variance6
Using the softplus function to construct alternative link functions in generalized linear models and beyond6
Objective Bayesian approach for recall-based time-to-event studies: an application to breastfeeding data6
Nonparametric classification of high dimensional observations6
Convergence of the EM algorithm in KL distance for overspecified Gaussian mixtures6
Nested strong orthogonal arrays6
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels6
Robust estimation of heteroscedastic regression models: a brief overview and new proposals6
Group sequential tests: beyond exponential family models5
On some stable linear functional regression estimators based on random projections5
BLUE against OLSE in the location model: energy minimization and asymptotic considerations5
Bayesian propensity score analysis for misclassified multinomial data5
A bias-corrected partial bernstein copula approach for nonparametric regression5
On some problems of Bayesian region construction with guaranteed coverages5
Osband’s principle for identification functions5
Statistical inferences for missing response problems based on modified empirical likelihood5
Structural multilevel models for longitudinal mediation analysis: a definition variable approach5
Modeling asymmetry in multi-way contingency tables with ordinal categories via f-divergence5
Computing waiting time probabilities related to $$ (k_{1},k_{2},\ldots ,k_{l})$$ pattern4
Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity4
Transfer learning for semiparametric varying coefficient spatial autoregressive models4
Special issue on “Goodness-of-Fit, Change Point and Related Problems”4
Multivariate copulas with given values at two arbitrary points4
Analyzing quantitative performance: Bayesian estimation of 3-component mixture geometric distributions based on Kumaraswamy prior4
Estimation and testing of expectile regression with efficient subsampling for massive data4
A new integrated discrimination improvement index via odds4
Drift parameter identification for the Ornstein-Uhlenbeck process driven by Ornstein-Uhlenbeck with small General Gaussian noise4
Fitting copulas in the case of missing data4
The resampling method via representative points4
Centre-free kurtosis orderings for asymmetric distributions4
On approximation and estimation of distribution function of sum of independent random variables4
Copula-based link functions in binary regression models4
Model detection and variable selection for semiparametric additive spatial autoregressive model4
On estimation of a partitioned covariance matrix with linearly structured blocks4
Asymptotics of minimum distance estimation for self-exciting load sharing point processes4
A novel copula-based approach for parametric estimation of univariate time series through its covariance decay4
Bounds on generalized family-wise error rates for normal distributions4
A weighted U-statistic based change point test for multivariate time series4
Seemingly unrelated clusterwise linear regression for contaminated data4
Influence diagnostics in beta regression via Hellinger and Wasserstein distances4
A unifying framework for rank and pseudo-rank based inference using nonparametric confidence distributions4
Bayesian inference of multivariate-GARCH-BEKK models4
Limiting distributions of the likelihood ratio test statistics for independence of normal random vectors4
Adaptive slicing for functional slice inverse regression4
A further study comparing forward search multivariate outlier methods including ATLA with an application to clustering4
Geometric infinitely divisible autoregressive models4
On weighted version of dynamic residual inaccuracy measure using extropy in order statistics with applications in model selection4
The limiting distribution of a bivariate random vector under univariate truncation3
Deflation properties in tensor-based eye blink removal algorithm3
On the validity of the bootstrap hypothesis testing in functional linear regression3
Optimal designs for spherical harmonic regression3
On the Rényi index of random graphs3
Reduced bias estimation of the log odds ratio3
Inference for the normal coefficient of variation: an approximate marginal likelihood approach3
A class of estimators based on overlapping sample spacings3
Testing for ordered alternatives in heteroscedastic ANOVA under normality3
Finite mixtures of mean-parameterized Conway–Maxwell–Poisson models3
Tweedie compound Poisson multivariate state space models for semicontinuous time series3
The cost of sequential adaptation and the lower bound for mean squared error3
The two-sample Mood statistic for clustered data3
The Efficient Covariate-Adaptive Design for high-order balancing of quantitative and qualitative covariates3
General classes of bivariate distributions for modeling data with common observations3
Composite quantile regression for a distributed system with non-randomly distributed data3
One-step statistical estimation method for generalized linear models3
Distribution and density estimation based on variation-diminishing spline approximation3
Construction of orthogonal general sliced Latin hypercube designs3
Change point in variance of fractionally integrated noise3
Feature screening via false discovery rate control for linear model with multivariate responses3
A density power divergence measure to discriminate between generalized exponential and Weibull distributions3
On the distribution of isometric log-ratio coordinates under extra-multinomial count data3
A method of correction for heaping error in the variables using validation data3
Modified Greenwood statistic for multivariate Pareto and Student’s t distributions in application to statistical testing3
s-SaRa: a stable and powerful algorithm for DNA copy number variation detection3
The exponentiated exponentially weighted moving average control chart3
Discrete approximations of continuous probability distributions obtained by minimizing Cramér-von Mises-type distances3
Integrative tensor regression for stratified data with application to neuroimaging analysis3
On equivalence of multistage experiments with restrictions in the randomization of treatments3
On the use of historical estimates3
Information matrix equivalence in the presence of censoring: a goodness-of-fit test for semiparametric copula models with multivariate survival data3
GMM estimation and variable selection of partially linear additive spatial autoregressive model3
Maximum likelihood estimation for left-truncated log-logistic distributions with a given truncation point3
Observations concerning the estimation of Heston’s stochastic volatility model using HF data3
Semi-supervised learning for various comparison functions across two populations3
Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes3
Estimation for partially linear single-index spatial autoregressive model with covariate measurement errors3
Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests3
Nonparametric directional variogram estimation in the presence of outlier blocks3
On variability of the mean inactivity time at random time3
Jackknife empirical likelihood ratio test for testing the equality of semivariance3
Bias in Gini coefficient estimation for gamma mixture populations3
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