Computational Statistics & Data Analysis

Papers
(The median citation count of Computational Statistics & Data Analysis is 2. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Editorial Board120
Optimal split -plot designs29
Estimation of predictive performance in high-dimensional data settings using learning curves28
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models27
Bayesian spatio-temporal models for stream networks23
A robust spline approach in partially linear additive models22
Joint estimation of monotone curves via functional principal component analysis19
Normal variance mixtures: Distribution, density and parameter estimation18
A high dimensional dissimilarity measure18
Flexible quantile contour estimation for multivariate functional data: Beyond convexity18
Fast selection of nonlinear mixed effect models using penalized likelihood17
Time series graphical lasso and sparse VAR estimation17
A unified framework on defining depth for point process using function smoothing15
Group linear non-Gaussian component analysis with applications to neuroimaging15
Inference for monotone single-index conditional means: A Lorenz regression approach14
Editorial Board13
A likelihood-based boosting algorithm for factor analysis models with binary data13
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error13
Regression analysis of asynchronous longitudinal data with informative observation processes13
Editorial Board13
Editorial Board13
Nonparametric inference on smoothed quantile regression process12
Editorial Board12
Communication-efficient estimation of quantile matrix regression for massive datasets12
Editorial for the special issue on Time Series Analysis12
Editorial Board12
A two-stage optimal subsampling estimation for missing data problems with large-scale data11
Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices11
Variable screening for varying coefficient models with ultrahigh-dimensional survival data11
Extremal quantile autoregression for heavy-tailed time series11
Editorial Board11
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping10
Robust MAVE through nonconvex penalized regression10
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space10
A unified framework of multiply robust estimation approaches for handling incomplete data10
Mixture-based estimation of entropy10
Tuning-free ridge estimators for high-dimensional generalized linear models10
Deep distribution regression10
Graph informed sliced inverse regression10
Variable selection of Kolmogorov-Smirnov maximization with a penalized surrogate loss9
Consistent skinny Gibbs in probit regression9
Minimax rates of convergence for sliced inverse regression with differential privacy9
A tree approach for variable selection and its random forest9
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes9
Decrement rates and a numerical method under competing risks9
A switching state-space transmission model for tracking epidemics and assessing interventions9
Bayesian modal regression based on mixture distributions9
On the use of the cumulant generating function for inference on time series9
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms8
Bayes linear analysis for ordinary differential equations8
Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates8
Analysis of multivariate longitudinal data using ARMA Cholesky and hypersphere decompositions8
Harmless label noise and informative soft-labels in supervised classification8
Bias-corrected Kullback–Leibler distance criterion based model selection with covariables missing at random8
Variable selection for generalized odds rate mixture cure models with interval-censored failure time data8
Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo8
Two-sample high dimensional mean test based on prepivots8
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels7
High-dimensional causal mediation analysis based on partial linear structural equation models7
Entropy-based test for generalised Gaussian distributions7
Online learning for the Dirichlet process mixture model via weakly conjugate approximation7
Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap7
The general goodness-of-fit tests for correlated data7
Frequentist delta-variance approximations with mixed-effects models and TMB7
Communication-efficient distributed M-estimation with missing data7
Equivalence class selection of categorical graphical models7
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation7
Data-driven stabilizations of goodness-of-fit tests7
Generalized martingale difference divergence: Detecting conditional mean independence with applications in variable screening7
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models7
Gaussian graphical modeling for spectrometric data analysis7
Surrogate space based dimension reduction for nonignorable nonresponse7
Testing error heterogeneity in censored linear regression7
Active set algorithms for estimating shape-constrained density ratios7
An ensemble of inverse moment estimators for sufficient dimension reduction7
Generalized ordinal patterns allowing for ties and their applications in hydrology7
Network inference from temporally dependent grouped observations7
Multilevel mediation analysis with structured unmeasured mediator-outcome confounding7
Efficient estimation in a partially specified nonignorable propensity score model7
Non-parametric analysis of serial dependence in time series using ordinal patterns7
Projection quantile correlation and its use in high-dimensional grouped variable screening7
Support vector subset scan for spatial pattern detection7
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes7
Hypothesis testing on compound symmetric structure of high-dimensional covariance matrix6
Calibrated regression estimation using empirical likelihood under data fusion6
Detecting change structures of nonparametric regressions6
Multivariate ordinal regression for multiple repeated measurements6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes6
Hierarchical false discovery rate control for high-dimensional survival analysis with interactions6
Under-reported time-varying MINAR(1) process for modeling multivariate count series6
Change-point testing for parallel data sets with FDR control6
Efficient and feasible inference for high-dimensional normal copula regression models6
Covariate dependent Beta-GOS process6
Robust estimation for functional quadratic regression models6
Medoid splits for efficient random forests in metric spaces6
A Laplace-based model with flexible tail behavior6
Robust and adaptive functional logistic regression6
Semiparametric model averaging method for survival probability predictions of patients6
Cluster-robust estimators for multivariate mixed-effects meta-regression6
Unified model-free interaction screening via CV-entropy filter6
Nonparametric augmented probability weighting with sparsity6
Estimation of l0 norm penalized models: A statistical treatment6
Minimum profile Hellinger distance estimation of general covariate models6
Sequential estimation for mixture of regression models for heterogeneous population6
Change point detection via feedforward neural networks with theoretical guarantees6
Potts-Cox survival regression6
Imputed quantile tensor regression for near-sited spatial-temporal data6
Robust tests for time series comparison based on Laplace periodograms5
Unified specification tests in partially linear time series models5
A copula duration model with dependent states and spells5
Editorial Board5
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease5
Editorial Board5
Editorial Board5
Editorial Board5
Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints5
A comparison of single and multiple changepoint techniques for time series data5
Densely connected sub-Gaussian linear structural equation model learning via ℓ1- and ℓ2-regularized regressions5
Hidden semi-Markov-switching quantile regression for time series5
Spatial heterogeneity automatic detection and estimation5
2-D Rayleigh autoregressive moving average model for SAR image modeling5
A Bayesian semiparametric vector Multiplicative Error Model5
Shape-constrained estimation in functional regression with Bernstein polynomials5
A roughness penalty approach to estimate densities over two-dimensional manifolds5
Efficient unequal probability resampling from finite populations5
Editorial Board5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices5
On MCMC sampling in self-exciting integer-valued threshold time series models5
Editorial Board5
Editorial Board5
Copula Particle Filters5
Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models5
Development of a new general class of bivariate distributions based on reversed hazard rate order5
TA algorithms for D-optimal OofA Mixture designs5
A rank-based high-dimensional test for equality of mean vectors5
Variational Bayesian inference for network autoregression models5
Editorial for the 2nd special issue on high-dimensional and functional data analysis5
The multi-aspect tests in the presence of ties5
Editorial Board5
A comparison of allocation strategies for optimising clinical trial designs under variance heterogeneity5
Editorial Board5
How to test the missing data mechanism in a hidden Markov model5
Editorial Board5
Stochastic representation of FGM copulas using multivariate Bernoulli random variables5
Outlier detection in multivariate functional data through a contaminated mixture model5
Efficient permutation testing of variable importance measures by the example of random forests5
Truncated estimation in functional generalized linear regression models4
Probability of default estimation in credit risk using mixture cure models4
Fast estimation for generalised multivariate joint models using an approximate EM algorithm4
Estimating heterogeneous causal effects in observational studies using small area predictors4
A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment4
GPU accelerated estimation of a shared random effect joint model for dynamic prediction4
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes4
Modeling and inference for multivariate time series of counts based on the INGARCH scheme4
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data4
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 acut4
High dimensional regression for regenerative time-series: An application to road traffic modeling4
Generalized accelerated hazards mixture cure models with interval-censored data4
Estimation of high dimensional factor model with multiple threshold-type regime shifts4
Maximum likelihood estimation of diffusions by continuous time Markov chain4
Robust fitting of mixture models using weighted complete estimating equations4
Regional quantile regression for multiple responses4
Online missing value imputation for high-dimensional mixed-type data via generalized factor models4
Estimation of multivariate tail quantities4
Order determination for spiked-type models with a divergent number of spikes4
On efficient exact experimental designs for ordered treatments4
Clustering, multicollinearity, and singular vectors4
A new classification tree method with interaction detection capability4
Smoothly varying regularization4
Adaptive quantile computation for Brownian bridge in change-point analysis4
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects4
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling4
The impact of genetic diversity statistics on model selection between coalescents4
Robust designs for dose–response studies: Model and labelling robustness4
Parallel-and-stream accelerator for computationally fast supervised learning4
Reparameterization of extreme value framework for improved Bayesian workflow4
Conformal prediction bands for two-dimensional functional time series4
Robust mixture regression modeling based on the normal mean-variance mixture distributions4
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression4
Weighted least squares model averaging for accelerated failure time models4
Statistical file-matching of non-Gaussian data: A game theoretic approach4
Vine copula statistical disclosure control for mixed-type data4
Assessing the effective sample size for large spatial datasets: A block likelihood approach4
Robust multiscale estimation of time-average variance for time series segmentation4
Causal network learning with non-invertible functional relationships4
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions4
A prior for record linkage based on allelic partitions4
Grouped spatial autoregressive model4
Varying-coefficient hidden Markov models with zero-effect regions3
Accelerating inference for stochastic kinetic models3
Beta-CoRM: A Bayesian approach for n-gram profiles analysis3
Editorial Board3
Goodness-of-fit test for point processes first-order intensity3
Explicit-duration Hidden Markov Models for quantum state estimation3
A unified framework of analyzing missing data and variable selection using regularized likelihood3
Editorial Board3
Editorial Board3
Likelihood-type confidence regions for optimal sensitivity and specificity of a diagnostic test3
Robust variable selection and estimation via adaptive elastic net S-estimators for linear regression3
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data3
Likelihood-free inference with deep Gaussian processes3
Explaining classifiers with measures of statistical association3
Multivariate cluster-weighted models based on seemingly unrelated linear regression3
Editorial Board3
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance3
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics3
Kendall regression coefficient3
Editorial Board3
Editorial Board3
Bayesian linear models for cardinal paired comparison data3
Editorial Board3
Group variable selection via group sparse neural network3
Editorial Board3
GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes3
Editorial Board3
On the optimal binary classifier with an application3
Editorial Board3
A Bayesian cluster validity index3
A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations3
The tenets of quantile-based inference in Bayesian models3
Mediation analysis for high-dimensional mediators and outcomes with an application to multimodal imaging data3
Independence index sufficient variable screening for categorical responses3
Efficient regularized estimation of graphical proportional hazards model with interval-censored data3
Computing the asymptotic distribution of second-order U- and V-statistics3
Test for the mean of high-dimensional functional time series3
Complexity reduction and approximation of multidomain systems of partially ordered data3
Weighted support vector machine for extremely imbalanced data3
Nonlinear predictive directions in clinical trials3
Asymptotic covariance estimation by Gaussian random perturbation3
A robust deterministic affine-equivariant algorithm for multivariate location and scatter3
Statistical modeling of Dengue transmission dynamics with environmental factors3
Editorial Board3
Joint modelling of the body and tail of bivariate data3
Editorial Board3
Covariate-modulated large-scale multiple testing under dependence3
Bayesian nonparametric hypothesis testing for longitudinal data analysis3
Multi-model subset selection3
An RIHT statistic for testing the equality of several high-dimensional mean vectors under homoskedasticity3
The dimension-wise quadrature estimation of dynamic latent variable models for count data3
Agglomerative and divisive hierarchical Bayesian clustering3
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes3
Latent event history models for quasi-reaction systems3
Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data3
Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data system3
Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model3
Dimension reduction for block-missing data based on sparse sliced inverse regression3
Bayesian taut splines for estimating the number of modes3
Dealing with overdispersion in multivariate count data3
Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data2
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series2
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