Computational Statistics & Data Analysis

Article	Citations
Bayesian selection approach for categorical responses via multinomial probit models	62
Differentially private estimation of weighted average treatment effects for binary outcomes	48
Time series graphical lasso and sparse VAR estimation	42
Editorial Board	42
Network inference from temporally dependent grouped observations	37
Minimum profile Hellinger distance estimation of general covariate models	30
Mixture-based estimation of entropy	27
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	23
A tree approach for variable selection and its random forest	23
Communication-efficient estimation of quantile matrix regression for massive datasets	23
Transfer learning for high dimensional data with discrete responses	21
Gamma approximation of stratified truncated exact test (GASTE-test) & application	17
Entropy-based test for generalised Gaussian distributions	17
Confidence intervals for tree-structured varying coefficients	17
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	17
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns	16
Distributed variable screening for generalized linear models	16
Goodness-of-fit test for point processes first-order intensity	15
Participant-level quantile surfaces for actigraphy data	15
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	15
Reparameterization of extreme value framework for improved Bayesian workflow	14
Efficient regularized estimation of graphical proportional hazards model with interval-censored data	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
Group variable selection via group sparse neural network	14
A unified framework of analyzing missing data and variable selection using regularized likelihood	13

Editorial Board	13
Editorial Board	13
High-dimensional response growth curve modeling for longitudinal neuroimaging analysis	12
Adjusting for unmeasured confounding in survival causal effect using validation data	12
On the semi-varying coefficient dynamic panel data model with autocorrelated errors	12
Dynamic risk score modeling for multiple longitudinal risk factors and survival	12
Lost in the shuffle: Testing power in the presence of errorful network vertex labels	12
A hierarchical testing procedure for three arm non-inferiority trials	12
Independence index sufficient variable screening for categorical responses	12
Hierarchical clustered multiclass discriminant analysis via cross-validation	12
Heavy-tailed matrix-variate hidden Markov models	12
Statistical inference of heterogeneous treatment effect based on single-index model	12
Editorial Board	12
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	12
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	11
JANE: Just Another latent space NEtwork clustering algorithm	11
Distributed adaptive Huber regression	11
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	11
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	11
Integrated subgroup identification from multi-source data	10
Online kernel sliced inverse regression	10
Estimation of the volume under a ROC surface in presence of covariates	10
Joint estimation of precision matrices for long-memory time series	10
Variable selection using data splitting and projection for principal fitted component models in high dimension	10
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	10
The circular quantile residual	10
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	10
Editorial Board	10
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	10
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	10
Generalized composite multi-sample tests for high-dimensional data	9
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	9
Estimating a smooth covariance for functional data	9
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	9
High-dimensional copula-based Wasserstein dependence	9
Heterogeneous quantile regression for longitudinal data with subgroup structures	9
Online graph topology learning from matrix-valued time series	9
Functional principal component analysis for partially observed elliptical process	9
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	9
Classification of social media users with generalized functional data analysis	9
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis	9
Additive dynamic models for correcting numerical model outputs	9
A Markov decision process for response-adaptive randomization in clinical trials	9
A fast trans-lasso algorithm with penalized weighted score function	8
A latent slice sampling algorithm	8
Conditional-mean multiplicative operator models for count time series	8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	8
Editorial Board	8
Multiply robust estimation of causal effects using linked data	8
Systematic enumeration of two-level even-odd designs of strength 3	8

Fast same-step forecast in SUTSE model and its theoretical properties	8
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres	8
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA	8
Discrepancy between structured matrices in the power analysis of a separability test	8
Laplace approximated quasi-likelihood method for heteroscedastic survival data	8
Bayesian nonparametric Erlang mixture modeling for survival analysis	8
Approximate Bayesian conditional copulas	8
Semiparametric accelerated failure time models under unspecified random effect distributions	8
A semiparametric model for the cause-specific hazard under risk proportionality	8
Editorial Board	8
Clustering-based inter-regional correlation estimation	7
Bayesian modeling of spatial integer-valued time series	7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	7
Boosting interaction tree stumps for modeling interactions	7
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	7
Full uncertainty analysis for Bayesian nonparametric mixture models	7
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density	7
Dimension reduction in time series under the presence of conditional heteroscedasticity	7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	7
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling	7
On Jeffreys's cardioid distribution	7
Rate accelerated inference for integrals of multivariate random functions	7
Multi-population sufficient dimension reduction	7
Editorial Board	7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	7
Seasonal ARIMA models with a random period	7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions	7
Bayesian analysis of longitudinal data via empirical likelihood	7
Nonparametric quantile scalar-on-image regression	7
Detecting change structures of nonparametric regressions	6
A score-based threshold effect test in time series models	6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	6
Test for the mean of high-dimensional functional time series	6
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	6
Probability of default estimation in credit risk using mixture cure models	6
Explaining classifiers with measures of statistical association	6
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	6
A two-stage optimal subsampling estimation for missing data problems with large-scale data	6
Selecting time-series hyperparameters with the artificial jackknife	6
A rank-based high-dimensional test for equality of mean vectors	6
Editorial Board	6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	6
New tests for the identity and sphericity of high-dimensional covariance matrices via U-statistics	6
On MCMC sampling in self-exciting integer-valued threshold time series models	6
High-dimensional causal mediation analysis based on partial linear structural equation models	6
Modelling catastrophic extinction in stochastic birth-death process: Analytical insights, estimation, and efficient simulation	6
Shape-constrained estimation in functional regression with Bernstein polynomials	6
A prior for record linkage based on allelic partitions	6
A copula duration model with dependent states and spells	6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	6
Estimation of predictive performance in high-dimensional data settings using learning curves	6
Simultaneously detecting spatiotemporal changes with penalized Poisson regression models	6
Optimal split -plot designs	6
A unified framework on defining depth for point process using function smoothing	6
Covariate-modulated large-scale multiple testing under dependence	6
Robust fitting of mixture models using weighted complete estimating equations	6
A subspace method for large-scale trace ratio problems	6
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	6
Debiased quantile significance testing with machine learning methods	6
Development of a new general class of bivariate distributions based on reversed hazard rate order	6
Minimax rates of convergence for sliced inverse regression with differential privacy	6
Editorial Board	6
Fusion regression methods with repeated functional data	5
Bootstrap-based goodness-of-fit test for parametric families of conditional distributions	5
Bayesian taut splines for estimating the number of modes	5
Editorial Board	5
2nd special issue on BIOSTATISTICS	5
Variable selection for case-cohort studies with informatively interval-censored outcomes	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
Latent event history models for quasi-reaction systems	5
Likelihood-free inference with deep Gaussian processes	5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series	5
Kernel density estimation with a Markov chain Monte Carlo sample	5
Accelerating inference for stochastic kinetic models	5
Editorial Board	5
Polya tree Monte Carlo method	5
A stochastic process representation for time warping functions	5
Bayesian nonparametric hypothesis testing for longitudinal data analysis	5
Variable selection in AUC-optimizing classification	5

A roughness penalty approach to estimate densities over two-dimensional manifolds	5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	5
Conformal prediction bands for two-dimensional functional time series	5
A Bayesian cluster validity index	5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space	5
Editorial Board	5
Robust heavy-tailed versions of generalized linear models with applications in actuarial science	5
A unifying implementation of stratum (aka strong) orthogonal arrays	5
Multivariate ranks based on randomized lift-interdirections	5
Strong orthogonal Latin hypercubes for computer experiments	4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model	4
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression	4
Editorial Board	4
Functional clustering methods for binary longitudinal data with temporal heterogeneity	4
Editorial Board	4
Multivariate distributional stochastic frontier models	4
A distributed community detection algorithm for large scale networks under stochastic block models	4
Prediction in functional regression with discretely observed and noisy covariates	4
Two-sample test of stochastic block models	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
Neural networks for parameter estimation in intractable models	4
Variable selection for high-dimensional incomplete data	4
Clustering multivariate count data via Dirichlet-multinomial network fusion	4
Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations	4
Quantile feature screening for infinite dimensional data under FDR control	4
Hybrid maximum likelihood inference for stochastic block models	4
Testing the parametric form of the conditional variance in regressions based on distance covariance	4
Topology-based goodness-of-fit tests for sliced spatial data	4
Large-scale local surrogate modeling of stochastic simulation experiments	4
Small area estimation of general finite-population parameters based on grouped data	4
Tuning parameter selection for penalized estimation via R2	4
A Dirichlet stochastic block model for composition-weighted networks	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
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix	4
Editorial Board	4
Robust polytomous logistic regression	4
Measuring multivariate regression association via spatial sign	4
Marginal M-quantile regression for multivariate dependent data	4
Pinball boosting of regression quantiles	4
On the efficacy of higher-order spectral clustering under weighted stochastic block models	4
Smooth LASSO estimator for the Function-on-Function linear regression model	4
Block-diagonal precision matrix regularization for ultra-high dimensional data	4
Editorial Board	4
Locally sparse quantile estimation for a partially functional interaction model	4
Bayesian simultaneous factorization and prediction using multi-omic data	3
Exact statistical analysis for response-adaptive clinical trials: A general and computationally tractable approach	3
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects	3
Smoothly varying regularization	3
Bayesian predictive modeling of multi-source multi-way data	3
GMM estimation of fixed effects partially linear additive SAR model with space-time correlated disturbances	3
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes	3
Empirical likelihood based Bayesian variable selection	3
2-D Rayleigh autoregressive moving average model for SAR image modeling	3
Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis	3
Variable screening for varying coefficient models with ultrahigh-dimensional survival data	3
Editorial Board	3
Latent-class trajectory modeling with a heterogeneous mean-variance relation	3
Variational Bayesian inference for network autoregression models	3
Multivariate cluster-weighted models based on seemingly unrelated linear regression	3
Nonlinear predictive directions in clinical trials	3
An efficient and distribution-free symmetry test for high-dimensional data based on energy statistics and random projections	3
On the optimal binary classifier with an application	3
Distributed iterative hard thresholding for variable selection in Tobit models	3
Modeling continuous distributions in hybrid Bayesian networks using mixtures of polynomials with tails	3
Joint modelling of the body and tail of bivariate data	3
A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering	3
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler	3
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	3
Complexity reduction and approximation of multidomain systems of partially ordered data	3
Inference on a stochastic SIR model including growth curves	3
Co-clustering multi-view data using the Latent Block Model	3
Sequential estimation for mixture of regression models for heterogeneous population	3
One point per cluster spatially balanced sampling	3
A high dimensional dissimilarity measure	3
Hypothesis test in high dimensional multi-response linear models	3
Editorial Board	3
Statistical inference for partially shape-constrained function-on-scalar linear regression models	3
Editorial Board	3
Functional time transformation model with applications to digital health	3
Editorial Board	3
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models	3
Nonnegative GARCH-type models with conditional Gamma distributions and their applications	3
Parallel-and-stream accelerator for computationally fast supervised learning	3
Extrapolation estimation in parametric regression models with measurement error	3
Group linear non-Gaussian component analysis with applications to neuroimaging	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
Functional nonlinear principal component analysis	3
An algorithm for estimating threshold boundary regression models	3
Covariate dependent Beta-GOS process	3
Bayesian modal regression based on mixture distributions	3
Sufficient dimension reduction for a novel class of zero-inflated graphical models	3
A simple approach for local and global variable importance in nonlinear regression models	3