Computational Statistics & Data Analysis

Article	Citations
A high dimensional dissimilarity measure	115
Editorial Board	28
Optimal split -plot designs	27
Estimation of predictive performance in high-dimensional data settings using learning curves	26
Group linear non-Gaussian component analysis with applications to neuroimaging	24
Hidden semi-Markov-switching quantile regression for time series	21
Inference for monotone single-index conditional means: A Lorenz regression approach	21
A robust spline approach in partially linear additive models	20
Joint estimation of monotone curves via functional principal component analysis	19
Flexible quantile contour estimation for multivariate functional data: Beyond convexity	18
Time series graphical lasso and sparse VAR estimation	18
A unified framework on defining depth for point process using function smoothing	17
Efficient permutation testing of variable importance measures by the example of random forests	16
Fast selection of nonlinear mixed effect models using penalized likelihood	15
Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation	15
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	14
Editorial Board	13
Editorial Board	13
Regression analysis of asynchronous longitudinal data with informative observation processes	13
Editorial Board	12
Editorial Board	12
Editorial Board	12
A likelihood-based boosting algorithm for factor analysis models with binary data	12
Communication-efficient estimation of quantile matrix regression for massive datasets	12
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models	11

Editorial for the special issue on Time Series Analysis	11
Variable screening for varying coefficient models with ultrahigh-dimensional survival data	11
Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices	11
Nonparametric inference on smoothed quantile regression process	11
Editorial Board	11
Extremal quantile autoregression for heavy-tailed time series	11
Tuning-free ridge estimators for high-dimensional generalized linear models	10
A unified framework of multiply robust estimation approaches for handling incomplete data	10
A two-stage optimal subsampling estimation for missing data problems with large-scale data	10
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	10
Graph informed sliced inverse regression	10
Two-sample high dimensional mean test based on prepivots	9
Harmless label noise and informative soft-labels in supervised classification	9
Outlier detection in multivariate functional data through a contaminated mixture model	9
Robust tests for time series comparison based on Laplace periodograms	9
Normal variance mixtures: Distribution, density and parameter estimation	9
Variable selection for generalized odds rate mixture cure models with interval-censored failure time data	9
Robust MAVE through nonconvex penalized regression	9
Analysis of multivariate longitudinal data using ARMA Cholesky and hypersphere decompositions	9
Bayes linear analysis for ordinary differential equations	9
Mixture-based estimation of entropy	9
Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates	8
Frequentist delta-variance approximations with mixed-effects models and TMB	8
Deep distribution regression	8
Communication-efficient distributed M-estimation with missing data	8
Multimodal Bayesian registration of noisy functions using Hamiltonian Monte Carlo	8
Bias-corrected Kullback–Leibler distance criterion based model selection with covariables missing at random	8
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes	8
Projection quantile correlation and its use in high-dimensional grouped variable screening	7
Support vector subset scan for spatial pattern detection	7
TA algorithms for D-optimal OofA Mixture designs	7
Generalized martingale difference divergence: Detecting conditional mean independence with applications in variable screening	7
Network inference from temporally dependent grouped observations	7
High-dimensional causal mediation analysis based on partial linear structural equation models	7
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels	7
Active set algorithms for estimating shape-constrained density ratios	7
Non-parametric analysis of serial dependence in time series using ordinal patterns	7
Testing error heterogeneity in censored linear regression	7
An ensemble of inverse moment estimators for sufficient dimension reduction	7
Surrogate space based dimension reduction for nonignorable nonresponse	7
Efficient estimation in a partially specified nonignorable propensity score model	7
Entropy-based test for generalised Gaussian distributions	7
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	7
Generalized ordinal patterns allowing for ties and their applications in hydrology	7
Data-driven stabilizations of goodness-of-fit tests	7
Variational Bayesian inference for network autoregression models	7
The general goodness-of-fit tests for correlated data	7
Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap	7
On MCMC sampling in self-exciting integer-valued threshold time series models	7
Equivalence class selection of categorical graphical models	7

Multilevel mediation analysis with structured unmeasured mediator-outcome confounding	7
A rank-based high-dimensional test for equality of mean vectors	7
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	7
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation	7
Gaussian graphical modeling for spectrometric data analysis	7
Bayesian spatio-temporal models for stream networks	7
Change-point testing for parallel data sets with FDR control	6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	6
Semiparametric model averaging method for survival probability predictions of patients	6
Spatial heterogeneity automatic detection and estimation	6
Detecting change structures of nonparametric regressions	6
Estimation of l0 norm penalized models: A statistical treatment	6
Sequential estimation for mixture of regression models for heterogeneous population	6
Covariate dependent Beta-GOS process	6
Cluster-robust estimators for multivariate mixed-effects meta-regression	6
Efficient and feasible inference for high-dimensional normal copula regression models	6
Calibrated regression estimation using empirical likelihood under data fusion	6
Robust and adaptive functional logistic regression	6
Change point detection via feedforward neural networks with theoretical guarantees	6
Imputed quantile tensor regression for near-sited spatial-temporal data	6
Hypothesis testing on compound symmetric structure of high-dimensional covariance matrix	6
Unified model-free interaction screening via CV-entropy filter	6
Under-reported time-varying MINAR(1) process for modeling multivariate count series	6
Robust estimation for functional quadratic regression models	6
Nonparametric augmented probability weighting with sparsity	6
Hierarchical false discovery rate control for high-dimensional survival analysis with interactions	6
Potts-Cox survival regression	6
2-D Rayleigh autoregressive moving average model for SAR image modeling	5
Maximum likelihood estimation of diffusions by continuous time Markov chain	5
Copula Particle Filters	5
On the use of the cumulant generating function for inference on time series	5
A switching state-space transmission model for tracking epidemics and assessing interventions	5
Multivariate ordinal regression for multiple repeated measurements	5
Minimum profile Hellinger distance estimation of general covariate models	5
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	5
Editorial Board	5
Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models	5
Agglomerative and divisive hierarchical Bayesian clustering	5
Bayesian modal regression based on mixture distributions	5
Editorial Board	5
A Bayesian semiparametric vector Multiplicative Error Model	5
Editorial for the 2nd special issue on high-dimensional and functional data analysis	5
Minimax rates of convergence for sliced inverse regression with differential privacy	5
Efficient unequal probability resampling from finite populations	5
Editorial Board	5
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	5
A tree approach for variable selection and its random forest	5
Medoid splits for efficient random forests in metric spaces	5
A comparison of allocation strategies for optimising clinical trial designs under variance heterogeneity	5
Bayesian linear models for cardinal paired comparison data	5
Editorial Board	5
Editorial Board	5
Editorial Board	5
A Bayesian goodness-of-fit test for regression	5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms	5
Editorial Board	5
Varying-coefficient hidden Markov models with zero-effect regions	5
Decrement rates and a numerical method under competing risks	5
Consistent skinny Gibbs in probit regression	5
Variable selection of Kolmogorov-Smirnov maximization with a penalized surrogate loss	5
A Laplace-based model with flexible tail behavior	5
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	5
Explaining classifiers with measures of statistical association	5
Editorial Board	5
Test-inversion confidence intervals for estimands in contingency tables subject to equality constraints	5
Unified specification tests in partially linear time series models	5
Editorial Board	5
Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis	5
Densely connected sub-Gaussian linear structural equation model learning via ℓ1- and ℓ2-regularized regressions	5
A comparison of single and multiple changepoint techniques for time series data	4
Variable selection in high-dimensional linear model with possibly asymmetric errors	4
Estimation of high dimensional factor model with multiple threshold-type regime shifts	4
A prior for record linkage based on allelic partitions	4
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes	4
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data	4
High dimensional regression for regenerative time-series: An application to road traffic modeling	4
Statistical modeling of Dengue transmission dynamics with environmental factors	4
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling	4
Group variable selection via group sparse neural network	4

Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions	4
Stochastic representation of FGM copulas using multivariate Bernoulli random variables	4
How to test the missing data mechanism in a hidden Markov model	4
Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections	4
Multi-model subset selection	4
Asymptotic covariance estimation by Gaussian random perturbation	4
Statistical inference for inter-arrival times of extreme events in bursty time series	4
A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions	4
A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment	4
A new classification tree method with interaction detection capability	4
Statistical file-matching of non-Gaussian data: A game theoretic approach	4
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	4
A roughness penalty approach to estimate densities over two-dimensional manifolds	4
Causal network learning with non-invertible functional relationships	4
Bayesian taut splines for estimating the number of modes	4
On efficient exact experimental designs for ordered treatments	4
Editorial Board	4
Editorial Board	4
Test for the mean of high-dimensional functional time series	4
The multi-aspect tests in the presence of ties	4
The impact of genetic diversity statistics on model selection between coalescents	4
Shape-constrained estimation in functional regression with Bernstein polynomials	4
Grouped spatial autoregressive model	4
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	4
Assessing the effective sample size for large spatial datasets: A block likelihood approach	4
Robust designs for dose–response studies: Model and labelling robustness	4
Generalized accelerated hazards mixture cure models with interval-censored data	4
Beta-CoRM: A Bayesian approach for n-gram profiles analysis	4
Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data	4
Adaptive quantile computation for Brownian bridge in change-point analysis	4
A Bayesian cluster validity index	4
Weighted support vector machine for extremely imbalanced data	4