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 2022-01-01 to 2026-01-01.)
ArticleCitations
Bayesian selection approach for categorical responses via multinomial probit models55
Confidence intervals for tree-structured varying coefficients40
Differentially private estimation of weighted average treatment effects for binary outcomes37
Non-parametric analysis of serial dependence in time series using ordinal patterns36
Network inference from temporally dependent grouped observations33
Online learning for the Dirichlet process mixture model via weakly conjugate approximation28
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping24
Entropy-based test for generalised Gaussian distributions22
Communication-efficient estimation of quantile matrix regression for massive datasets22
Time series graphical lasso and sparse VAR estimation21
Minimum profile Hellinger distance estimation of general covariate models20
A tree approach for variable selection and its random forest18
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns16
Heavy-tailed matrix-variate hidden Markov models16
Mixture-based estimation of entropy16
Distributed variable screening for generalized linear models16
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease15
Group variable selection via group sparse neural network15
Efficient regularized estimation of graphical proportional hazards model with interval-censored data15
Editorial Board14
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes14
Editorial Board14
A unified framework of analyzing missing data and variable selection using regularized likelihood14
Goodness-of-fit test for point processes first-order intensity13
Lost in the shuffle: Testing power in the presence of errorful network vertex labels13
Reparameterization of extreme value framework for improved Bayesian workflow13
High-dimensional response growth curve modeling for longitudinal neuroimaging analysis13
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
Integrated subgroup identification from multi-source data12
JANE: Just Another latent space NEtwork clustering algorithm12
Dynamic risk score modeling for multiple longitudinal risk factors and survival12
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis12
Editorial Board12
Adjusting for unmeasured confounding in survival causal effect using validation data12
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment12
On the semi-varying coefficient dynamic panel data model with autocorrelated errors11
Editorial Board11
Distributed adaptive Huber regression11
Hierarchical clustered multiclass discriminant analysis via cross-validation11
Statistical inference of heterogeneous treatment effect based on single-index model11
A hierarchical testing procedure for three arm non-inferiority trials11
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates11
Independence index sufficient variable screening for categorical responses11
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance11
Editorial Board10
Online graph topology learning from matrix-valued time series10
High-dimensional copula-based Wasserstein dependence10
Online kernel sliced inverse regression10
Classification of social media users with generalized functional data analysis10
Heterogeneous quantile regression for longitudinal data with subgroup structures10
Variable selection using data splitting and projection for principal fitted component models in high dimension10
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity10
Clustering multivariate functional data using unsupervised binary trees10
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching9
Additive dynamic models for correcting numerical model outputs9
Estimation of the volume under a ROC surface in presence of covariates9
A Markov decision process for response-adaptive randomization in clinical trials9
Joint estimation of precision matrices for long-memory time series9
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data9
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study9
The circular quantile residual9
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA9
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems8
Estimating a smooth covariance for functional data8
Functional principal component analysis for partially observed elliptical process8
Systematic enumeration of two-level even-odd designs of strength 38
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres8
Multiply robust estimation of causal effects using linked data8
A fast trans-lasso algorithm with penalized weighted score function8
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables8
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis8
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data8
Bayesian nonparametric Erlang mixture modeling for survival analysis8
A latent slice sampling algorithm8
Approximate Bayesian conditional copulas8
Laplace approximated quasi-likelihood method for heteroscedastic survival data8
Semiparametric accelerated failure time models under unspecified random effect distributions8
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere8
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 priors8
Fast same-step forecast in SUTSE model and its theoretical properties8
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA8
Conditional-mean multiplicative operator models for count time series8
Editorial Board7
Editorial Board7
Bayesian analysis of longitudinal data via empirical likelihood7
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling7
Clustering-based inter-regional correlation estimation7
On Jeffreys's cardioid distribution7
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States7
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme7
Editorial Board7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression7
Fusing sufficient dimension reduction with neural networks7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions7
Nonparametric quantile scalar-on-image regression7
Full uncertainty analysis for Bayesian nonparametric mixture models7
A semiparametric model for the cause-specific hazard under risk proportionality7
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
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density7
A group comparison in fMRI data using a semiparametric model under shape invariance7
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study7
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes6
Optimal split -plot designs6
Dimension reduction in time series under the presence of conditional heteroscedasticity6
A score-based threshold effect test in time series models6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error6
Test for the mean of high-dimensional functional time series6
A two-stage optimal subsampling estimation for missing data problems with large-scale data6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models6
Estimation of predictive performance in high-dimensional data settings using learning curves6
Inference for monotone single-index conditional means: A Lorenz regression approach6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes6
New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics6
Boosting interaction tree stumps for modeling interactions6
Detecting change structures of nonparametric regressions6
Editorial Board6
On MCMC sampling in self-exciting integer-valued threshold time series models6
A copula duration model with dependent states and spells6
High-dimensional causal mediation analysis based on partial linear structural equation models6
Joint estimation of monotone curves via functional principal component analysis6
Editorial Board6
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence6
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space6
Simultaneously detecting spatiotemporal changes with penalized Poisson regression models6
Development of a new general class of bivariate distributions based on reversed hazard rate order6
Minimax rates of convergence for sliced inverse regression with differential privacy6
A rank-based high-dimensional test for equality of mean vectors6
A unified framework on defining depth for point process using function smoothing6
Accelerating inference for stochastic kinetic models5
A prior for record linkage based on allelic partitions5
Shape-constrained estimation in functional regression with Bernstein polynomials5
Covariate-modulated large-scale multiple testing under dependence5
Selecting time-series hyperparameters with the artificial jackknife5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series5
Multivariate ranks based on randomized lift-interdirections5
2nd special issue on BIOSTATISTICS5
Robust Functional Regression with Discretely Sampled Predictors5
Bayesian nonparametric hypothesis testing for longitudinal data analysis5
Latent event history models for quasi-reaction systems5
A Bayesian cluster validity index5
Editorial Board5
Probability of default estimation in credit risk using mixture cure models5
Explaining classifiers with measures of statistical association5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression5
Bayesian taut splines for estimating the number of modes5
Robust fitting of mixture models using weighted complete estimating equations5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework5
Change-point detection for multivariate nonparametric regression with deep neural networks5
Variable selection in AUC-optimizing classification5
Editorial Board5
A roughness penalty approach to estimate densities over two-dimensional manifolds5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space5
A unifying implementation of stratum (aka strong) orthogonal arrays5
A subspace method for large-scale trace ratio problems5
Conformal prediction bands for two-dimensional functional time series5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics5
A new classification tree method with interaction detection capability5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices5
Editorial Board5
Likelihood-free inference with deep Gaussian processes5
Variable selection for case-cohort studies with informatively interval-censored outcomes5
A stochastic process representation for time warping functions5
Fusion regression methods with repeated functional data5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations5
Polya tree Monte Carlo method5
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