Computational Statistics & Data Analysis

Papers
(The TQCC of Computational Statistics & Data Analysis is 4. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Non-parametric analysis of serial dependence in time series using ordinal patterns133
Online learning for the Dirichlet process mixture model via weakly conjugate approximation33
Minimum profile Hellinger distance estimation of general covariate models32
A tree approach for variable selection and its random forest31
Robust MAVE through nonconvex penalized regression28
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping25
Entropy-based test for generalised Gaussian distributions25
Network inference from temporally dependent grouped observations21
Communication-efficient estimation of quantile matrix regression for massive datasets20
Graph informed sliced inverse regression20
Mixture-based estimation of entropy18
Time series graphical lasso and sparse VAR estimation18
Group variable selection via group sparse neural network17
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes16
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects16
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 acut15
A unified framework of analyzing missing data and variable selection using regularized likelihood14
Goodness-of-fit test for point processes first-order intensity14
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions14
Reparameterization of extreme value framework for improved Bayesian workflow13
Editorial Board13
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease13
Editorial Board13
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment12
Editorial Board12
Integrated subgroup identification from multi-source data11
A hierarchical testing procedure for three arm non-inferiority trials11
Statistical inference of heterogeneous treatment effect based on single-index model11
Hierarchical clustered multiclass discriminant analysis via cross-validation11
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates11
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis11
Dynamic risk score modeling for multiple longitudinal risk factors and survival11
Independence index sufficient variable screening for categorical responses11
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance10
Lost in the shuffle: Testing power in the presence of errorful network vertex labels10
Distributed adaptive Huber regression10
Editorial Board10
On the semi-varying coefficient dynamic panel data model with autocorrelated errors10
Editorial Board10
Variable selection using data splitting and projection for principal fitted component models in high dimension9
A Markov decision process for response-adaptive randomization in clinical trials9
Online kernel sliced inverse regression9
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis9
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study9
High-dimensional copula-based Wasserstein dependence9
Adjusting for unmeasured confounding in survival causal effect using validation data9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity9
Editorial Board9
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection9
Functional principal component analysis for partially observed elliptical process9
Heterogeneous quantile regression for longitudinal data with subgroup structures9
Estimation of the volume under a ROC surface in presence of covariates8
The circular quantile residual8
A latent slice sampling algorithm8
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data8
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere8
Online graph topology learning from matrix-valued time series8
Additive dynamic models for correcting numerical model outputs8
Classification of social media users with generalized functional data analysis8
Bayesian nonparametric Erlang mixture modeling for survival analysis8
Robust communication-efficient distributed composite quantile regression and variable selection for massive data8
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data8
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching8
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA8
A fast trans-lasso algorithm with penalized weighted score function8
Clustering multivariate functional data using unsupervised binary trees8
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres7
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA7
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems7
Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors7
Discrepancy between structured matrices in the power analysis of a separability test7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments7
Bayesian modeling of spatial integer-valued time series7
Promote sign consistency in the joint estimation of precision matrices7
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables7
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States7
Approximate Bayesian conditional copulas7
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study7
Systematic enumeration of two-level even-odd designs of strength 37
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence7
Bayesian analysis of longitudinal data via empirical likelihood7
Fusing sufficient dimension reduction with neural networks7
Clustering-based inter-regional correlation estimation7
Fast same-step forecast in SUTSE model and its theoretical properties7
Conditional-mean multiplicative operator models for count time series7
Laplace approximated quasi-likelihood method for heteroscedastic survival data7
A more powerful test of equality of high-dimensional two-sample means7
Semiparametric accelerated failure time models under unspecified random effect distributions7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression7
Dimension reduction in time series under the presence of conditional heteroscedasticity7
A group comparison in fMRI data using a semiparametric model under shape invariance7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions7
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models6
Optimal split -plot designs6
Testing error heterogeneity in censored linear regression6
Nonparametric quantile scalar-on-image regression6
Full uncertainty analysis for Bayesian nonparametric mixture models6
Editorial Board6
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme6
A two-stage optimal subsampling estimation for missing data problems with large-scale data6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes6
High-dimensional causal mediation analysis based on partial linear structural equation models6
A rank-based high-dimensional test for equality of mean vectors6
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling6
Editorial Board6
Editorial Board6
A semiparametric model for the cause-specific hazard under risk proportionality6
Editorial Board6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes6
Detecting change structures of nonparametric regressions6
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space6
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density6
Editorial Board6
A motif building process for simulating random networks6
Two-sample test in high dimensions through random selection6
Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination6
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series5
A Bayesian cluster validity index5
Shape-constrained estimation in functional regression with Bernstein polynomials5
Bayesian taut splines for estimating the number of modes5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices5
Test for the mean of high-dimensional functional time series5
Development of a new general class of bivariate distributions based on reversed hazard rate order5
On MCMC sampling in self-exciting integer-valued threshold time series models5
Estimation of predictive performance in high-dimensional data settings using learning curves5
Minimax rates of convergence for sliced inverse regression with differential privacy5
Robust fitting of mixture models using weighted complete estimating equations5
Polya tree Monte Carlo method5
A unifying implementation of stratum (aka strong) orthogonal arrays5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression5
Covariate-modulated large-scale multiple testing under dependence5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics5
Editorial Board5
A new classification tree method with interaction detection capability5
Inference for monotone single-index conditional means: A Lorenz regression approach5
A unified framework on defining depth for point process using function smoothing5
Conformal prediction bands for two-dimensional functional time series5
A prior for record linkage based on allelic partitions5
Multivariate ranks based on randomized lift-interdirections5
Editorial Board5
Explaining classifiers with measures of statistical association5
Probability of default estimation in credit risk using mixture cure models5
A copula duration model with dependent states and spells5
A roughness penalty approach to estimate densities over two-dimensional manifolds5
A subspace method for large-scale trace ratio problems5
Copula Particle Filters5
Deep distribution regression5
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error5
Joint estimation of monotone curves via functional principal component analysis5
Editorial Board5
Correlation for tree-shaped datasets and its Bayesian estimation4
Clusterwise functional linear regression models4
Small area estimation of general finite-population parameters based on grouped data4
Latent event history models for quasi-reaction systems4
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use4
Variable selection for high-dimensional incomplete data4
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations4
Exceedance control of the false discovery proportion via high precision inversion method of Berk-Jones statistics4
Locally sparse quantile estimation for a partially functional interaction model4
Strong orthogonal Latin hypercubes for computer experiments4
Marginal M-quantile regression for multivariate dependent data4
2nd special issue on BIOSTATISTICS4
Clustering multivariate count data via Dirichlet-multinomial network fusion4
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations4
Response adaptive designs for Phase II trials with binary endpoint based on context-dependent information measures4
Accelerating inference for stochastic kinetic models4
Editorial Board4
Likelihood-free inference with deep Gaussian processes4
Deep learning for quantile regression under right censoring: DeepQuantreg4
Two-sample test of stochastic block models4
Time stable empirical best predictors under a unit-level model4
Tests for differential Gaussian Bayesian networks based on quadratic inference functions4
Bayesian nonparametric hypothesis testing for longitudinal data analysis4
Feature filter for estimating central mean subspace and its sparse solution4
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix4
How to implement signed-rank wilcox.test() type procedures when a center of symmetry is unknown4
GMM estimation of partially linear additive spatial autoregressive model4
Correcting for sample selection bias in Bayesian distributional regression models4
Variable selection for case-cohort studies with informatively interval-censored outcomes4
Topology-based goodness-of-fit tests for sliced spatial data4
A stochastic process representation for time warping functions4
Neural networks for parameter estimation in intractable models4
Robust heavy-tailed versions of generalized linear models with applications in actuarial science4
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques4
Tuning parameter selection for penalized estimation via R24
Categorical CVA biplots4
Robust regression with compositional covariates4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model4
Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method4
Fusion regression methods with repeated functional data4
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