Computational Statistics & Data Analysis

Article	Citations
Confidence intervals for tree-structured varying coefficients	39
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	35
Minimum profile Hellinger distance estimation of general covariate models	32
Differentially private estimation of weighted average treatment effects for binary outcomes	30
Entropy-based test for generalised Gaussian distributions	29
Graph informed sliced inverse regression	27
Robust MAVE through nonconvex penalized regression	24
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	21
Non-parametric analysis of serial dependence in time series using ordinal patterns	21
A tree approach for variable selection and its random forest	18
Time series graphical lasso and sparse VAR estimation	17
Communication-efficient estimation of quantile matrix regression for massive datasets	17
Mixture-based estimation of entropy	17
Network inference from temporally dependent grouped observations	15
Group variable selection via group sparse neural network	15
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	14
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes	14
A unified framework of analyzing missing data and variable selection using regularized likelihood	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	14
Editorial Board	13
Goodness-of-fit test for point processes first-order intensity	13
Editorial Board	13
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	13
Reparameterization of extreme value framework for improved Bayesian workflow	12
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	11

Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	11
Statistical inference of heterogeneous treatment effect based on single-index model	11
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	11
On the semi-varying coefficient dynamic panel data model with autocorrelated errors	11
Independence index sufficient variable screening for categorical responses	11
Integrated subgroup identification from multi-source data	10
Editorial Board	10
Adjusting for unmeasured confounding in survival causal effect using validation data	10
Hierarchical clustered multiclass discriminant analysis via cross-validation	10
Distributed adaptive Huber regression	10
Editorial Board	10
Dynamic risk score modeling for multiple longitudinal risk factors and survival	10
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	10
The circular quantile residual	9
Lost in the shuffle: Testing power in the presence of errorful network vertex labels	9
Variable selection using data splitting and projection for principal fitted component models in high dimension	9
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis	9
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	9
Classification of social media users with generalized functional data analysis	9
A hierarchical testing procedure for three arm non-inferiority trials	9
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	9
Robust communication-efficient distributed composite quantile regression and variable selection for massive data	9
Functional principal component analysis for partially observed elliptical process	9
Editorial Board	9
A Markov decision process for response-adaptive randomization in clinical trials	9
Online kernel sliced inverse regression	9
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA	8
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	8
Clustering multivariate functional data using unsupervised binary trees	8
A latent slice sampling algorithm	8
Semiparametric accelerated failure time models under unspecified random effect distributions	8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	8
Heterogeneous quantile regression for longitudinal data with subgroup structures	8
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	8
Online graph topology learning from matrix-valued time series	8
Bayesian nonparametric Erlang mixture modeling for survival analysis	8
Approximate Bayesian conditional copulas	8
A more powerful test of equality of high-dimensional two-sample means	8
Estimation of the volume under a ROC surface in presence of covariates	8
High-dimensional copula-based Wasserstein dependence	8
Additive dynamic models for correcting numerical model outputs	8
A fast trans-lasso algorithm with penalized weighted score function	8
Conditional-mean multiplicative operator models for count time series	8
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	8
Editorial Board	7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	7
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA	7
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables	7
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study	7

Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions	7
A motif building process for simulating random networks	7
Editorial Board	7
Full uncertainty analysis for Bayesian nonparametric mixture models	7
Systematic enumeration of two-level even-odd designs of strength 3	7
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres	7
Fast same-step forecast in SUTSE model and its theoretical properties	7
Bayesian analysis of longitudinal data via empirical likelihood	7
Editorial Board	7
A semiparametric model for the cause-specific hazard under risk proportionality	7
Discrepancy between structured matrices in the power analysis of a separability test	7
Dimension reduction in time series under the presence of conditional heteroscedasticity	7
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	7
Laplace approximated quasi-likelihood method for heteroscedastic survival data	7
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 priors	7
Clustering-based inter-regional correlation estimation	7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	7
Editorial Board	7
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	6
Editorial Board	6
Fusing sufficient dimension reduction with neural networks	6
A group comparison in fMRI data using a semiparametric model under shape invariance	6
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	6
Testing error heterogeneity in censored linear regression	6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	6
Joint estimation of monotone curves via functional principal component analysis	6
Optimal split -plot designs	6
Two-sample test in high dimensions through random selection	6
Bayesian modeling of spatial integer-valued time series	6
Nonparametric quantile scalar-on-image regression	6
A rank-based high-dimensional test for equality of mean vectors	6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	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
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling	6
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density	6
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	6
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	6
Detecting change structures of nonparametric regressions	6
Minimax rates of convergence for sliced inverse regression with differential privacy	6
Accelerating inference for stochastic kinetic models	5
Robust fitting of mixture models using weighted complete estimating equations	5
Variable selection for case-cohort studies with informatively interval-censored outcomes	5
Shape-constrained estimation in functional regression with Bernstein polynomials	5
Polya tree Monte Carlo method	5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	5
Editorial Board	5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
Test for the mean of high-dimensional functional time series	5
Development of a new general class of bivariate distributions based on reversed hazard rate order	5
Estimation of predictive performance in high-dimensional data settings using learning curves	5
A Bayesian cluster validity index	5
Probability of default estimation in credit risk using mixture cure models	5
2nd special issue on BIOSTATISTICS	5
Bayesian nonparametric hypothesis testing for longitudinal data analysis	5
A stochastic process representation for time warping functions	5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	5
Likelihood-free inference with deep Gaussian processes	5
Explaining classifiers with measures of statistical association	5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series	5
Bayesian taut splines for estimating the number of modes	5
Editorial Board	5
Inference for monotone single-index conditional means: A Lorenz regression approach	5
Copula Particle Filters	5
A two-stage optimal subsampling estimation for missing data problems with large-scale data	5
Conformal prediction bands for two-dimensional functional time series	5
Multivariate ranks based on randomized lift-interdirections	5
Categorical CVA biplots	5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	5
Fusion regression methods with repeated functional data	5
Latent event history models for quasi-reaction systems	5
A prior for record linkage based on allelic partitions	5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space	5
On MCMC sampling in self-exciting integer-valued threshold time series models	5
A unifying implementation of stratum (aka strong) orthogonal arrays	5
Covariate-modulated large-scale multiple testing under dependence	5
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques	5
A subspace method for large-scale trace ratio problems	5
A copula duration model with dependent states and spells	5
High-dimensional causal mediation analysis based on partial linear structural equation models	5

A new classification tree method with interaction detection capability	5
A roughness penalty approach to estimate densities over two-dimensional manifolds	5
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
Feature filter for estimating central mean subspace and its sparse solution	4
Editorial Board	4
Variable selection for high-dimensional incomplete data	4
Correcting for sample selection bias in Bayesian distributional regression models	4
Clustering multivariate count data via Dirichlet-multinomial network fusion	4
Editorial Board	4
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression	4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model	4
Two-sample test of stochastic block models	4
Time stable empirical best predictors under a unit-level model	4
Robust regression with compositional covariates	4
Strong orthogonal Latin hypercubes for computer experiments	4
Neural networks for parameter estimation in intractable 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
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	4
On the efficacy of higher-order spectral clustering under weighted stochastic block models	4
Robust polytomous logistic regression	4
Tuning parameter selection for penalized estimation via R2	4
Correlation for tree-shaped datasets and its Bayesian estimation	4
Editorial Board	4
Marginal M-quantile regression for multivariate dependent data	4
Locally sparse quantile estimation for a partially functional interaction model	4
GMM estimation of partially linear additive spatial autoregressive model	4
Exceedance control of the false discovery proportion via high precision inversion method of Berk-Jones statistics	4
Topology-based goodness-of-fit tests for sliced spatial data	4
Large-scale local surrogate modeling of stochastic simulation experiments	4
Quantile feature screening for infinite dimensional data under FDR control	4
Deep learning for quantile regression under right censoring: DeepQuantreg	4
Smooth LASSO estimator for the Function-on-Function linear regression model	4
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use	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
2-D Rayleigh autoregressive moving average model for SAR image modeling	3
Editorial Board	3
Editorial Board	3
Bayesian predictive modeling of multi-source multi-way data	3
Smoothly varying regularization	3
One point per cluster spatially balanced sampling	3
Editorial Board	3
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects	3
Surrogate space based dimension reduction for nonignorable nonresponse	3
Selective inference for additive and linear mixed models	3
Multivariate distributional stochastic frontier models	3
Marginal false discovery rate for a penalized transformation survival model	3
Prediction in functional regression with discretely observed and noisy covariates	3
Functional time transformation model with applications to digital health	3
Bayesian simultaneous factorization and prediction using multi-omic data	3
Testing the parametric form of the conditional variance in regressions based on distance covariance	3
Active set algorithms for estimating shape-constrained density ratios	3
Efficient unequal probability resampling from finite populations	3
Group linear non-Gaussian component analysis with applications to neuroimaging	3
Nonnegative GARCH-type models with conditional Gamma distributions and their applications	3
Bayesian modal regression based on mixture distributions	3
Fast and fully-automated histograms for large-scale data sets	3
Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models	3
Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation	3
Sequential estimation for mixture of regression models for heterogeneous population	3
On the optimal binary classifier with an application	3
Covariate dependent Beta-GOS process	3
Complexity reduction and approximation of multidomain systems of partially ordered data	3
Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap	3
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes	3
Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: An application to task-based fMRI data analysis	3
Extrapolation estimation in parametric regression models with measurement error	3
Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations	3
Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis	3
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler	3
Functional clustering methods for binary longitudinal data with temporal heterogeneity	3
Joint modelling of the body and tail of bivariate data	3
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	3
Variable screening for varying coefficient models with ultrahigh-dimensional survival data	3
Editorial Board	3
Variational Bayesian inference for network autoregression models	3
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models	3
Parallel-and-stream accelerator for computationally fast supervised learning	3
Nonlinear predictive directions in clinical trials	3
Estimation of multivariate tail quantities	3
Multivariate cluster-weighted models based on seemingly unrelated linear regression	3
Pinball boosting of regression quantiles	3
Robust direction estimation in single-index models via cumulative divergence	3
Editorial Board	3
Editorial Board	3
Block-diagonal precision matrix regularization for ultra-high dimensional data	3
The multi-aspect tests in the presence of ties	3
Sufficient dimension reduction for a novel class of zero-inflated graphical models	3
Hybrid maximum likelihood inference for stochastic block models	3
Weighted least squares model averaging for accelerated failure time models	3
A high dimensional dissimilarity measure	3
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models	3
Bayesian inference for generalized linear model with linear inequality constraints	3