Computational Statistics & Data Analysis

Article	Citations
Editorial Board	65
Minimum profile Hellinger distance estimation of general covariate models	54
Mixture-based estimation of entropy	31
A tree approach for variable selection and its random forest	28
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	25
Transfer learning for high dimensional data with discrete responses	25
Gamma approximation of stratified truncated exact test (GASTE-test) & application	24
Confidence intervals for tree-structured varying coefficients	19
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	17
Bayesian selection approach for categorical responses via multinomial probit models	16
Time series graphical lasso and sparse VAR estimation	16
Entropy-based test for generalised Gaussian distributions	15
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	15
Differentially private estimation of weighted average treatment effects for binary outcomes	15
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns	15
Communication-efficient estimation of quantile matrix regression for massive datasets	15
Goodness-of-fit test for point processes first-order intensity	14
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 acut	13
Group variable selection via group sparse neural network	13
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	13
Efficient regularized estimation of graphical proportional hazards model with interval-censored data	13
A unified framework of analyzing missing data and variable selection using regularized likelihood	13
Heavy-tailed matrix-variate hidden Markov models	13
Editorial Board	13
Reparameterization of extreme value framework for improved Bayesian workflow	13

Editorial Board	13
Distributed variable screening for generalized linear models	13
On the semi-varying coefficient dynamic panel data model with autocorrelated errors	12
Lost in the shuffle: Testing power in the presence of errorful network vertex labels	12
Copula-based mixtures of regression models for multivariate response data	12
Editorial Board	12
Statistical inference of heterogeneous treatment effect based on single-index model	12
Adjusting for unmeasured confounding in survival causal effect using validation data	12
A hierarchical testing procedure for three arm non-inferiority trials	12
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	11
Hierarchical clustered multiclass discriminant analysis via cross-validation	11
Independence index sufficient variable screening for categorical responses	10
Online and offline robust multivariate linear regression	10
Dynamic risk score modeling for multiple longitudinal risk factors and survival	10
Reduced-bias whittle likelihood estimation for short- and long-memory processes	10
JANE: Just Another latent space NEtwork clustering algorithm	10
Integrated subgroup identification from multi-source data	10
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	10
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	10
High-dimensional response growth curve modeling for longitudinal neuroimaging analysis	10
Variable selection using data splitting and projection for principal fitted component models in high dimension	10
Online graph topology learning from matrix-valued time series	9
Editorial Board	9
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	9
Generalized composite multi-sample tests for high-dimensional data	9
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	9
A Markov decision process for response-adaptive randomization in clinical trials	9
Online kernel sliced inverse regression	9
The circular quantile residual	9
Joint estimation of precision matrices for long-memory time series	9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	9
Heterogeneous quantile regression for longitudinal data with subgroup structures	9
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis	9
Estimating a smooth covariance for functional data	9
Classification of social media users with generalized functional data analysis	9
Laplace approximated quasi-likelihood method for heteroscedastic survival data	8
Additive dynamic models for correcting numerical model outputs	8
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	8
Fast same-step forecast in SUTSE model and its theoretical properties	8
Semiparametric accelerated failure time models under unspecified random effect distributions	8
Multiply robust estimation of causal effects using linked data	8
Functional principal component analysis for partially observed elliptical process	8
Estimation of the volume under a ROC surface in presence of covariates	8
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	8
Editorial Board	8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	8
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA	8
High-dimensional copula-based Wasserstein dependence	8
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	8
A fast trans-lasso algorithm with penalized weighted score function	8

Bayesian nonparametric Erlang mixture modeling for survival analysis	8
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres	8
Systematic enumeration of two-level even-odd designs of strength 3	8
Dimension reduction in time series under the presence of conditional heteroscedasticity	7
Rate accelerated inference for integrals of multivariate random functions	7
Editorial Board	7
Editorial Board	7
Discrepancy between structured matrices in the power analysis of a separability test	7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	7
Clustering-based inter-regional correlation estimation	7
Full uncertainty analysis for Bayesian nonparametric mixture models	7
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling	7
Conditional-mean multiplicative operator models for count time series	7
On Jeffreys's cardioid distribution	7
A smoothed maximum rank correlation estimator for deep ordinal choice models	7
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density	7
Boosting interaction tree stumps for modeling interactions	7
Bayesian modeling of spatial integer-valued time series	7
A latent slice sampling algorithm	7
Editorial Board	7
Multi-population sufficient dimension reduction	7
Bayesian analysis of longitudinal data via empirical likelihood	7
Seasonal ARIMA models with a random period	7
Nonparametric quantile scalar-on-image regression	7
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	7
A roughness penalty approach to estimate densities over two-dimensional manifolds	6
A subspace method for large-scale trace ratio problems	6
Development of a new general class of bivariate distributions based on reversed hazard rate order	6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	6
A unified framework on defining depth for point process using function smoothing	6
Debiased quantile significance testing with machine learning methods	6
Editorial Board	6
A semiparametric model for the cause-specific hazard under risk proportionality	6
Minimax rates of convergence for sliced inverse regression with differential privacy	6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	6
Robust fitting of mixture models using weighted complete estimating equations	6
Covariate-modulated large-scale multiple testing under dependence	6
Test for the mean of high-dimensional functional time series	6
Modelling catastrophic extinction in stochastic birth-death process: Analytical insights, estimation, and efficient simulation	6
Simultaneously detecting spatiotemporal changes with penalized Poisson regression models	6
Estimation of predictive performance in high-dimensional data settings using learning curves	6
New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics	6
A rank-based high-dimensional test for equality of mean vectors	6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	6
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	6
Kernel density estimation with a Markov chain Monte Carlo sample	6
A copula duration model with dependent states and spells	6
A two-stage optimal subsampling estimation for missing data problems with large-scale data	6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	6
An integrated method for clustering and association network inference	6
A score-based threshold effect test in time series models	6
Optimal split -plot designs	6
Detecting change structures of nonparametric regressions	6
High-dimensional causal mediation analysis based on partial linear structural equation models	6
Likelihood-free inference with deep Gaussian processes	5
Change-point detection for multivariate nonparametric regression with deep neural networks	5
Variable selection in AUC-optimizing classification	5
A unifying implementation of stratum (aka strong) orthogonal arrays	5
Polya tree Monte Carlo method	5
Conformal prediction bands for two-dimensional functional time series	5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	5
Probability of default estimation in credit risk using mixture cure models	5
Accelerating inference for stochastic kinetic models	5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	5
A stochastic process representation for time warping functions	5
Multivariate ranks based on randomized lift-interdirections	5
Editorial Board	5
Latent event history models for quasi-reaction systems	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	5
Shape-constrained estimation in functional regression with Bernstein polynomials	5
Explaining classifiers with measures of statistical association	5
Bayesian taut splines for estimating the number of modes	5
Boosted sliced regression for dimension reduction in binary classification	5
Fusion regression methods with repeated functional data	5
Robust functional regression with discretely sampled predictors	5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series	5
Bayesian nonparametric hypothesis testing for longitudinal data analysis	5

Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space	5
A prior for record linkage based on allelic partitions	5
Selecting time-series hyperparameters with the artificial jackknife	5
Dirichlet process multi-state mixture models	5
Bootstrap-based goodness-of-fit test for parametric families of conditional distributions	5
A Bayesian cluster validity index	5
Strong orthogonal Latin hypercubes for computer experiments	4
Multivariate distributional stochastic frontier models	4
How to implement signed-rank wilcox.test() type procedures when a center of symmetry is unknown	4
Quantile feature screening for infinite dimensional data under FDR control	4
Tuning parameter selection for penalized estimation via R2	4
Clustering multivariate count data via Dirichlet-multinomial network fusion	4
GMM estimation of partially linear additive spatial autoregressive model	4
Block-diagonal precision matrix regularization for ultra-high dimensional data	4
Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors	4
Large-scale local surrogate modeling of stochastic simulation experiments	4
Adaptive accelerated failure time modeling with a semiparametric skewed error distribution	4
Exceedance control of the false discovery proportion via high precision inversion method of Berk-Jones statistics	4
Marginal M-quantile regression for multivariate dependent data	4
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression	4
Pinball boosting of regression quantiles	4
Editorial Board	4
Measuring multivariate regression association via spatial sign	4
Neural networks for parameter estimation in intractable models	4
Editorial Board	4
Variable selection for high-dimensional incomplete data	4
A distributed community detection algorithm for large scale networks under stochastic block models	4
Robust heavy-tailed versions of generalized linear models with applications in actuarial science	4
Prediction in functional regression with discretely observed and noisy covariates	4
2nd special issue on BIOSTATISTICS	4
Efficient and robust block designs for order-of-addition experiments	4
Two-sample test of stochastic block models	4
Adaptive group lasso penalized variable selection for high-dimensional varying-coefficient panel data models with fixed effects	4
Functional clustering methods for binary longitudinal data with temporal heterogeneity	4
Topology-based goodness-of-fit tests for sliced spatial data	4
Testing the parametric form of the conditional variance in regressions based on distance covariance	4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model	4
Robust polytomous logistic regression	4
Locally sparse quantile estimation for a partially functional interaction model	4
Smooth LASSO estimator for the Function-on-Function linear regression model	4
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix	4
A Dirichlet stochastic block model for composition-weighted networks	4
Editorial Board	4
Variable selection for case-cohort studies with informatively interval-censored outcomes	4
Small area estimation of general finite-population parameters based on grouped data	4
On the efficacy of higher-order spectral clustering under weighted stochastic block models	4
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	3
Joint modelling of the body and tail of bivariate data	3
The multi-aspect tests in the presence of ties	3
Statistical inference for partially shape-constrained function-on-scalar linear regression models	3
On the optimal binary classifier with an application	3
Complexity reduction and approximation of multidomain systems of partially ordered data	3
Weighted least squares model averaging for accelerated failure time models	3
Bayesian simultaneous factorization and prediction using multi-omic data	3
Parallel-and-stream accelerator for computationally fast supervised learning	3
Inference on a stochastic SIR model including growth curves	3
Empirical likelihood based Bayesian variable selection	3
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models	3
Co-clustering multi-view data using the Latent Block Model	3
Bayesian modal regression based on mixture distributions	3
Functional nonlinear principal component analysis	3
Covariate dependent Beta-GOS process	3
GMM estimation of fixed effects partially linear additive SAR model with space-time correlated disturbances	3
Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations	3
Sequential estimation for mixture of regression models for heterogeneous population	3
Editorial Board	3
Nonnegative GARCH-type models with conditional Gamma distributions and their applications	3
One point per cluster spatially balanced sampling	3
A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering	3
Estimation of multivariate tail quantities	3
Smoothly varying regularization	3
An algorithm for estimating threshold boundary regression models	3
Efficient subsampling for exponential family models	3
Nonlinear predictive directions in clinical trials	3
Variable screening for varying coefficient models with ultrahigh-dimensional survival data	3
Editorial Board	3
Distributed iterative hard thresholding for variable selection in Tobit models	3
Extrapolation estimation in parametric regression models with measurement error	3
Editorial Board	3
Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis	3
Renewable penalized linear regression via inverse probability weighting for streaming data with missing covariates	3
Sufficient dimension reduction for a novel class of zero-inflated graphical models	3
Bayesian optimization sequential surrogate (BOSS) algorithm: Fast Bayesian inference for a broad class of Bayesian hierarchical models	3
Editorial Board	3
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler	3
Functional time transformation model with applications to digital health	3
Hypothesis test in high dimensional multi-response linear models	3
Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models	3
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models	3
Thin plate regression splines for treatment effect estimation in a local randomisation regression discontinuity design	3
Modeling continuous distributions in hybrid Bayesian networks using mixtures of polynomials with tails	3
Latent-class trajectory modeling with a heterogeneous mean-variance relation	3
Robust direction estimation in single-index models via cumulative divergence	3
A high dimensional dissimilarity measure	3
Bayesian predictive modeling of multi-source multi-way data	3