Computational Statistics & Data Analysis

Article	Citations
Editorial Board	63
Time series graphical lasso and sparse VAR estimation	49
Network inference from temporally dependent grouped observations	42
Minimum profile Hellinger distance estimation of general covariate models	38
Mixture-based estimation of entropy	30
A tree approach for variable selection and its random forest	29
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	26
Entropy-based test for generalised Gaussian distributions	24
Confidence intervals for tree-structured varying coefficients	23
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	23
Bayesian selection approach for categorical responses via multinomial probit models	18
Transfer learning for high dimensional data with discrete responses	17
Differentially private estimation of weighted average treatment effects for binary outcomes	17
Gamma approximation of stratified truncated exact test (GASTE-test) & application	17
Communication-efficient estimation of quantile matrix regression for massive datasets	16
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	15
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns	15
Distributed variable screening for generalized linear models	15
Goodness-of-fit test for point processes first-order intensity	15
Efficient regularized estimation of graphical proportional hazards model with interval-censored data	14
Group variable selection via group sparse neural network	14
Reparameterization of extreme value framework for improved Bayesian workflow	14
Editorial Board	13
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
Editorial Board	13

Heavy-tailed matrix-variate hidden Markov models	13
A unified framework of analyzing missing data and variable selection using regularized likelihood	13
Dynamic risk score modeling for multiple longitudinal risk factors and survival	12
JANE: Just Another latent space NEtwork clustering algorithm	12
Independence index sufficient variable screening for categorical responses	12
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	12
Adjusting for unmeasured confounding in survival causal effect using validation data	12
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	12
Hierarchical clustered multiclass discriminant analysis via cross-validation	12
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
Editorial Board	12
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	12
Online and offline robust multivariate linear regression	11
A hierarchical testing procedure for three arm non-inferiority trials	11
Statistical inference of heterogeneous treatment effect based on single-index model	11
Copula-based mixtures of regression models for multivariate response data	11
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	10
High-dimensional response growth curve modeling for longitudinal neuroimaging analysis	10
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	10
Variable selection using data splitting and projection for principal fitted component models in high dimension	10
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis	10
Online kernel sliced inverse regression	10
Integrated subgroup identification from multi-source data	10
Editorial Board	10
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	10
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	9
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	9
Functional principal component analysis for partially observed elliptical process	9
The circular quantile residual	9
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	9
Generalized composite multi-sample tests for high-dimensional data	9
Joint estimation of precision matrices for long-memory time series	9
Estimating a smooth covariance for functional data	9
Additive dynamic models for correcting numerical model outputs	9
A Markov decision process for response-adaptive randomization in clinical trials	9
Estimation of the volume under a ROC surface in presence of covariates	9
High-dimensional copula-based Wasserstein dependence	9
Online graph topology learning from matrix-valued time series	9
A latent slice sampling algorithm	8
Laplace approximated quasi-likelihood method for heteroscedastic survival data	8
Classification of social media users with generalized functional data analysis	8
Semiparametric accelerated failure time models under unspecified random effect distributions	8
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA	8
Editorial Board	8
Systematic enumeration of two-level even-odd designs of strength 3	8
Heterogeneous quantile regression for longitudinal data with subgroup structures	8
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	8
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres	8
Conditional-mean multiplicative operator models for count time series	8

Discrepancy between structured matrices in the power analysis of a separability test	8
A fast trans-lasso algorithm with penalized weighted score function	8
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	8
Fast same-step forecast in SUTSE model and its theoretical properties	8
Multiply robust estimation of causal effects using linked data	8
Bayesian nonparametric Erlang mixture modeling for survival analysis	8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	8
Clustering-based inter-regional correlation estimation	7
Multi-population sufficient dimension reduction	7
Editorial Board	7
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density	7
Bayesian analysis of longitudinal data via empirical likelihood	7
Boosting interaction tree stumps for modeling interactions	7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions	7
On Jeffreys's cardioid distribution	7
Full uncertainty analysis for Bayesian nonparametric mixture models	7
Rate accelerated inference for integrals of multivariate random functions	7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	7
Bayesian modeling of spatial integer-valued time series	7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	7
Seasonal ARIMA models with a random period	7
Editorial Board	7
Nonparametric quantile scalar-on-image regression	7
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	7
Dimension reduction in time series under the presence of conditional heteroscedasticity	7
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling	7
A semiparametric model for the cause-specific hazard under risk proportionality	6
A score-based threshold effect test in time series models	6
Boosted sliced regression for dimension reduction in binary classification	6
Covariate-modulated large-scale multiple testing under dependence	6
Editorial Board	6
Development of a new general class of bivariate distributions based on reversed hazard rate order	6
A subspace method for large-scale trace ratio problems	6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	6
A rank-based high-dimensional test for equality of mean vectors	6
Editorial Board	6
New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics	6
A unified framework on defining depth for point process using function smoothing	6
High-dimensional causal mediation analysis based on partial linear structural equation models	6
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	6
A roughness penalty approach to estimate densities over two-dimensional manifolds	6
Modelling catastrophic extinction in stochastic birth-death process: Analytical insights, estimation, and efficient simulation	6
Test for the mean of high-dimensional functional time series	6
Detecting change structures of nonparametric regressions	6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	6
Optimal split -plot designs	6
Simultaneously detecting spatiotemporal changes with penalized Poisson regression models	6
Debiased quantile significance testing with machine learning methods	6
A prior for record linkage based on allelic partitions	6
Robust fitting of mixture models using weighted complete estimating equations	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
Estimation of predictive performance in high-dimensional data settings using learning curves	6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	6
Minimax rates of convergence for sliced inverse regression with differential privacy	6
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	5
Latent event history models for quasi-reaction systems	5
Neural networks for parameter estimation in intractable models	5
Change-point detection for multivariate nonparametric regression with deep neural networks	5
Variable selection in AUC-optimizing classification	5
Bayesian nonparametric hypothesis testing for longitudinal data analysis	5
Likelihood-free inference with deep Gaussian processes	5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	5
Selecting time-series hyperparameters with the artificial jackknife	5
A Bayesian cluster validity index	5
Bayesian taut splines for estimating the number of modes	5
Polya tree Monte Carlo method	5
Editorial Board	5
Accelerating inference for stochastic kinetic models	5
Multivariate ranks based on randomized lift-interdirections	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
A unifying implementation of stratum (aka strong) orthogonal arrays	5
Bootstrap-based goodness-of-fit test for parametric families of conditional distributions	5
Kernel density estimation with a Markov chain Monte Carlo sample	5
Conformal prediction bands for two-dimensional functional time series	5
Probability of default estimation in credit risk using mixture cure models	5
Editorial Board	5

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