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 2021-08-01 to 2025-08-01.)
ArticleCitations
Confidence intervals for tree-structured varying coefficients39
Online learning for the Dirichlet process mixture model via weakly conjugate approximation35
Minimum profile Hellinger distance estimation of general covariate models32
Differentially private estimation of weighted average treatment effects for binary outcomes30
Entropy-based test for generalised Gaussian distributions29
Graph informed sliced inverse regression27
Robust MAVE through nonconvex penalized regression24
Non-parametric analysis of serial dependence in time series using ordinal patterns21
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping21
A tree approach for variable selection and its random forest18
Time series graphical lasso and sparse VAR estimation17
Communication-efficient estimation of quantile matrix regression for massive datasets17
Mixture-based estimation of entropy17
Network inference from temporally dependent grouped observations15
Group variable selection via group sparse neural network15
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects14
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes14
A unified framework of analyzing missing data and variable selection using regularized likelihood14
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 acut14
Editorial Board13
Goodness-of-fit test for point processes first-order intensity13
Editorial Board13
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease13
Reparameterization of extreme value framework for improved Bayesian workflow12
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis11
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates11
Statistical inference of heterogeneous treatment effect based on single-index model11
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment11
On the semi-varying coefficient dynamic panel data model with autocorrelated errors11
Independence index sufficient variable screening for categorical responses11
Editorial Board10
Adjusting for unmeasured confounding in survival causal effect using validation data10
Hierarchical clustered multiclass discriminant analysis via cross-validation10
Distributed adaptive Huber regression10
Editorial Board10
Dynamic risk score modeling for multiple longitudinal risk factors and survival10
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance10
Integrated subgroup identification from multi-source data10
Lost in the shuffle: Testing power in the presence of errorful network vertex labels9
Variable selection using data splitting and projection for principal fitted component models in high dimension9
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis9
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data9
Classification of social media users with generalized functional data analysis9
A hierarchical testing procedure for three arm non-inferiority trials9
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity9
Robust communication-efficient distributed composite quantile regression and variable selection for massive data9
Functional principal component analysis for partially observed elliptical process9
Editorial Board9
A Markov decision process for response-adaptive randomization in clinical trials9
Online kernel sliced inverse regression9
The circular quantile residual9
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching8
Clustering multivariate functional data using unsupervised binary trees8
A latent slice sampling algorithm8
Semiparametric accelerated failure time models under unspecified random effect distributions8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States8
Heterogeneous quantile regression for longitudinal data with subgroup structures8
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere8
Online graph topology learning from matrix-valued time series8
Bayesian nonparametric Erlang mixture modeling for survival analysis8
Approximate Bayesian conditional copulas8
A more powerful test of equality of high-dimensional two-sample means8
Estimation of the volume under a ROC surface in presence of covariates8
High-dimensional copula-based Wasserstein dependence8
Additive dynamic models for correcting numerical model outputs8
A fast trans-lasso algorithm with penalized weighted score function8
Conditional-mean multiplicative operator models for count time series8
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data8
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA8
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables7
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions7
A motif building process for simulating random networks7
Discrepancy between structured matrices in the power analysis of a separability test7
Editorial Board7
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems7
Full uncertainty analysis for Bayesian nonparametric mixture models7
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres7
Fast same-step forecast in SUTSE model and its theoretical properties7
Bayesian analysis of longitudinal data via empirical likelihood7
Editorial Board7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence7
A semiparametric model for the cause-specific hazard under risk proportionality7
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA7
Dimension reduction in time series under the presence of conditional heteroscedasticity7
Laplace approximated quasi-likelihood method for heteroscedastic survival data7
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
Clustering-based inter-regional correlation estimation7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments7
Editorial Board7
Systematic enumeration of two-level even-odd designs of strength 37
Editorial Board7
Two-sample test in high dimensions through random selection6
Bayesian modeling of spatial integer-valued time series6
Nonparametric quantile scalar-on-image regression6
A rank-based high-dimensional test for equality of mean vectors6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes6
A unified framework on defining depth for point process using function smoothing6
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling6
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density6
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space6
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression6
Detecting change structures of nonparametric regressions6
Minimax rates of convergence for sliced inverse regression with differential privacy6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error6
Editorial Board6
Fusing sufficient dimension reduction with neural networks6
A group comparison in fMRI data using a semiparametric model under shape invariance6
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme6
Testing error heterogeneity in censored linear regression6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes6
Joint estimation of monotone curves via functional principal component analysis6
Optimal split -plot designs6
Editorial Board5
Inference for monotone single-index conditional means: A Lorenz regression approach5
Copula Particle Filters5
A two-stage optimal subsampling estimation for missing data problems with large-scale data5
Conformal prediction bands for two-dimensional functional time series5
Multivariate ranks based on randomized lift-interdirections5
Categorical CVA biplots5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations5
Fusion regression methods with repeated functional data5
A prior for record linkage based on allelic partitions5
Latent event history models for quasi-reaction systems5
On MCMC sampling in self-exciting integer-valued threshold time series models5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space5
Covariate-modulated large-scale multiple testing under dependence5
A unifying implementation of stratum (aka strong) orthogonal arrays5
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques5
A subspace method for large-scale trace ratio problems5
A copula duration model with dependent states and spells5
High-dimensional causal mediation analysis based on partial linear structural equation models5
A new classification tree method with interaction detection capability5
A roughness penalty approach to estimate densities over two-dimensional manifolds5
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework5
Robust fitting of mixture models using weighted complete estimating equations5
Accelerating inference for stochastic kinetic models5
Shape-constrained estimation in functional regression with Bernstein polynomials5
Variable selection for case-cohort studies with informatively interval-censored outcomes5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression5
Polya tree Monte Carlo method5
Editorial Board5
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
Estimation of predictive performance in high-dimensional data settings using learning curves5
A Bayesian cluster validity index5
Probability of default estimation in credit risk using mixture cure models5
2nd special issue on BIOSTATISTICS5
Bayesian nonparametric hypothesis testing for longitudinal data analysis5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics5
A stochastic process representation for time warping functions5
Explaining classifiers with measures of statistical association5
Likelihood-free inference with deep Gaussian processes5
Bayesian taut splines for estimating the number of modes5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series5
0.042954206466675