Computational Statistics & Data Analysis

Papers
(The TQCC of Computational Statistics & Data Analysis is 5. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board63
Time series graphical lasso and sparse VAR estimation49
Network inference from temporally dependent grouped observations42
Minimum profile Hellinger distance estimation of general covariate models38
Mixture-based estimation of entropy30
A tree approach for variable selection and its random forest29
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping26
Entropy-based test for generalised Gaussian distributions24
Online learning for the Dirichlet process mixture model via weakly conjugate approximation23
Confidence intervals for tree-structured varying coefficients23
Bayesian selection approach for categorical responses via multinomial probit models18
Gamma approximation of stratified truncated exact test (GASTE-test) & application17
Transfer learning for high dimensional data with discrete responses17
Differentially private estimation of weighted average treatment effects for binary outcomes17
Communication-efficient estimation of quantile matrix regression for massive datasets16
Distributed variable screening for generalized linear models15
Goodness-of-fit test for point processes first-order intensity15
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease15
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns15
Reparameterization of extreme value framework for improved Bayesian workflow14
Efficient regularized estimation of graphical proportional hazards model with interval-censored data14
Group variable selection via group sparse neural network14
Editorial Board13
Heavy-tailed matrix-variate hidden Markov models13
A unified framework of analyzing missing data and variable selection using regularized likelihood13
Editorial Board13
Bayesian joint modeling for causal mediation analysis with a binary outcome and a binary mediator: Exploring the role of obesity in the association between cranial radiation therapy for childhood acut13
Hierarchical clustered multiclass discriminant analysis via cross-validation12
On the semi-varying coefficient dynamic panel data model with autocorrelated errors12
Lost in the shuffle: Testing power in the presence of errorful network vertex labels12
Editorial Board12
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates12
Dynamic risk score modeling for multiple longitudinal risk factors and survival12
JANE: Just Another latent space NEtwork clustering algorithm12
Independence index sufficient variable screening for categorical responses12
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance12
Adjusting for unmeasured confounding in survival causal effect using validation data12
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment12
Statistical inference of heterogeneous treatment effect based on single-index model11
Copula-based mixtures of regression models for multivariate response data11
Online and offline robust multivariate linear regression11
A hierarchical testing procedure for three arm non-inferiority trials11
Integrated subgroup identification from multi-source data10
Editorial Board10
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data10
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis10
High-dimensional response growth curve modeling for longitudinal neuroimaging analysis10
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study10
Variable selection using data splitting and projection for principal fitted component models in high dimension10
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis10
Online kernel sliced inverse regression10
Joint estimation of precision matrices for long-memory time series9
Estimating a smooth covariance for functional data9
Additive dynamic models for correcting numerical model outputs9
A Markov decision process for response-adaptive randomization in clinical trials9
Estimation of the volume under a ROC surface in presence of covariates9
High-dimensional copula-based Wasserstein dependence9
Online graph topology learning from matrix-valued time series9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity9
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching9
Functional principal component analysis for partially observed elliptical process9
The circular quantile residual9
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere9
Generalized composite multi-sample tests for high-dimensional data9
A fast trans-lasso algorithm with penalized weighted score function8
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data8
Fast same-step forecast in SUTSE model and its theoretical properties8
Multiply robust estimation of causal effects using linked data8
Bayesian nonparametric Erlang mixture modeling for survival analysis8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States8
A latent slice sampling algorithm8
Laplace approximated quasi-likelihood method for heteroscedastic survival data8
Classification of social media users with generalized functional data analysis8
Semiparametric accelerated failure time models under unspecified random effect distributions8
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA8
Editorial Board8
Systematic enumeration of two-level even-odd designs of strength 38
Heterogeneous quantile regression for longitudinal data with subgroup structures8
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems8
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres8
Conditional-mean multiplicative operator models for count time series8
Discrepancy between structured matrices in the power analysis of a separability test8
Full uncertainty analysis for Bayesian nonparametric mixture models7
Rate accelerated inference for integrals of multivariate random functions7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression7
Bayesian modeling of spatial integer-valued time series7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments7
Seasonal ARIMA models with a random period7
Editorial Board7
Nonparametric quantile scalar-on-image regression7
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme7
Dimension reduction in time series under the presence of conditional heteroscedasticity7
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling7
Clustering-based inter-regional correlation estimation7
Multi-population sufficient dimension reduction7
Editorial Board7
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density7
Bayesian analysis of longitudinal data via empirical likelihood7
Boosting interaction tree stumps for modeling interactions7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions7
On Jeffreys's cardioid distribution7
Detecting change structures of nonparametric regressions6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes6
Optimal split -plot designs6
Simultaneously detecting spatiotemporal changes with penalized Poisson regression models6
Debiased quantile significance testing with machine learning methods6
A prior for record linkage based on allelic partitions6
Robust fitting of mixture models using weighted complete estimating equations6
A copula duration model with dependent states and spells6
A two-stage optimal subsampling estimation for missing data problems with large-scale data6
Estimation of predictive performance in high-dimensional data settings using learning curves6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes6
Minimax rates of convergence for sliced inverse regression with differential privacy6
A semiparametric model for the cause-specific hazard under risk proportionality6
A score-based threshold effect test in time series models6
Boosted sliced regression for dimension reduction in binary classification6
Covariate-modulated large-scale multiple testing under dependence6
Editorial Board6
Development of a new general class of bivariate distributions based on reversed hazard rate order6
A subspace method for large-scale trace ratio problems6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error6
A rank-based high-dimensional test for equality of mean vectors6
Editorial Board6
New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics6
A unified framework on defining depth for point process using function smoothing6
High-dimensional causal mediation analysis based on partial linear structural equation models6
Online non-parametric changepoint detection with application to monitoring operational performance of network devices6
A roughness penalty approach to estimate densities over two-dimensional manifolds6
Modelling catastrophic extinction in stochastic birth-death process: Analytical insights, estimation, and efficient simulation6
Test for the mean of high-dimensional functional time series6
Bootstrap-based goodness-of-fit test for parametric families of conditional distributions5
Kernel density estimation with a Markov chain Monte Carlo sample5
Conformal prediction bands for two-dimensional functional time series5
Probability of default estimation in credit risk using mixture cure models5
Editorial Board5
Editorial Board5
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model5
A stochastic process representation for time warping functions5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space5
Variable selection for case-cohort studies with informatively interval-censored outcomes5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series5
Fusion regression methods with repeated functional data5
Shape-constrained estimation in functional regression with Bernstein polynomials5
Explaining classifiers with measures of statistical association5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression5
Latent event history models for quasi-reaction systems5
Neural networks for parameter estimation in intractable models5
Change-point detection for multivariate nonparametric regression with deep neural networks5
Variable selection in AUC-optimizing classification5
Bayesian nonparametric hypothesis testing for longitudinal data analysis5
Likelihood-free inference with deep Gaussian processes5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations5
Selecting time-series hyperparameters with the artificial jackknife5
A Bayesian cluster validity index5
Bayesian taut splines for estimating the number of modes5
Polya tree Monte Carlo method5
Editorial Board5
Accelerating inference for stochastic kinetic models5
Multivariate ranks based on randomized lift-interdirections5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework5
A unifying implementation of stratum (aka strong) orthogonal arrays5
0.95198106765747