Computational Statistics & Data Analysis

Article	Citations
Confidence intervals for tree-structured varying coefficients	49
Differentially private estimation of weighted average treatment effects for binary outcomes	37
Minimum profile Hellinger distance estimation of general covariate models	34
Communication-efficient estimation of quantile matrix regression for massive datasets	32
Graph informed sliced inverse regression	31
Time series graphical lasso and sparse VAR estimation	27
Network inference from temporally dependent grouped observations	24
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	22
Entropy-based test for generalised Gaussian distributions	20
Mixture-based estimation of entropy	19
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	18
Non-parametric analysis of serial dependence in time series using ordinal patterns	16
Efficient regularized estimation of graphical proportional hazards model with interval-censored data	16
A tree approach for variable selection and its random forest	16
Non-parametric tests for cross-dependence based on multivariate extensions of ordinal patterns	16
Heavy-tailed matrix-variate hidden Markov models	15
Distributed variable screening for generalized linear models	15
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
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	14
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes	13
A unified framework of analyzing missing data and variable selection using regularized likelihood	13
Editorial Board	13
Group variable selection via group sparse neural network	13
Editorial Board	13
Reparameterization of extreme value framework for improved Bayesian workflow	13

Lost in the shuffle: Testing power in the presence of errorful network vertex labels	12
JANE: Just Another latent space NEtwork clustering algorithm	12
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	12
Goodness-of-fit test for point processes first-order intensity	12
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	12
Integrated subgroup identification from multi-source data	11
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	11
Adjusting for unmeasured confounding in survival causal effect using validation data	11
Editorial Board	11
Statistical inference of heterogeneous treatment effect based on single-index model	11
A hierarchical testing procedure for three arm non-inferiority trials	11
Dynamic risk score modeling for multiple longitudinal risk factors and survival	11
Hierarchical clustered multiclass discriminant analysis via cross-validation	10
Variable selection using data splitting and projection for principal fitted component models in high dimension	10
Editorial Board	10
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	10
Independence index sufficient variable screening for categorical responses	10
On the semi-varying coefficient dynamic panel data model with autocorrelated errors	10
Distributed adaptive Huber regression	10
Editorial Board	9
Online graph topology learning from matrix-valued time series	9
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	9
Additive dynamic models for correcting numerical model outputs	9
Functional principal component analysis for partially observed elliptical process	9
Classification of social media users with generalized functional data analysis	9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	9
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA	9
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	9
Estimation of the volume under a ROC surface in presence of covariates	9
Heterogeneous quantile regression for longitudinal data with subgroup structures	9
Online kernel sliced inverse regression	9
Clustering multivariate functional data using unsupervised binary trees	9
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	9
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis	9
High-dimensional copula-based Wasserstein dependence	9
A Markov decision process for response-adaptive randomization in clinical trials	8
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	8
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	8
The circular quantile residual	8
Bayesian nonparametric Erlang mixture modeling for survival analysis	8
A latent slice sampling algorithm	8
Multiply robust estimation of causal effects using linked data	8
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	8
Semiparametric accelerated failure time models under unspecified random effect distributions	8
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study	8
Approximate Bayesian conditional copulas	8
Fast same-step forecast in SUTSE model and its theoretical properties	8
A more powerful test of equality of high-dimensional two-sample means	8
A fast trans-lasso algorithm with penalized weighted score function	8
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	8

Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables	8
Laplace approximated quasi-likelihood method for heteroscedastic survival data	8
Systematic enumeration of two-level even-odd designs of strength 3	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
Dimension reduction in time series under the presence of conditional heteroscedasticity	7
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions	7
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density	7
Full uncertainty analysis for Bayesian nonparametric mixture models	7
Editorial Board	7
Editorial Board	7
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	7
Nonparametric quantile scalar-on-image regression	7
Clustering-based inter-regional correlation estimation	7
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	7
Conditional-mean multiplicative operator models for count time series	7
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	7
Editorial Board	7
Bayesian analysis of longitudinal data via empirical likelihood	7
Bayesian modeling of spatial integer-valued time series	7
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling	7
A group comparison in fMRI data using a semiparametric model under shape invariance	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
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	7
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	6
Editorial Board	6
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	6
Joint estimation of monotone curves via functional principal component analysis	6
Estimation of predictive performance in high-dimensional data settings using learning curves	6
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	6
Editorial Board	6
On MCMC sampling in self-exciting integer-valued threshold time series models	6
Fusing sufficient dimension reduction with neural networks	6
A two-stage optimal subsampling estimation for missing data problems with large-scale data	6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	6
High-dimensional causal mediation analysis based on partial linear structural equation models	6
Test for the mean of high-dimensional functional time series	6
Detecting change structures of nonparametric regressions	6
A unified framework on defining depth for point process using function smoothing	6
Optimal split -plot designs	6
Minimax rates of convergence for sliced inverse regression with differential privacy	6
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	6
A rank-based high-dimensional test for equality of mean vectors	6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	6
Inference for monotone single-index conditional means: A Lorenz regression approach	6
Explaining classifiers with measures of statistical association	5
Probability of default estimation in credit risk using mixture cure models	5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	5
Editorial Board	5
Variable selection for high-dimensional incomplete data	5
Editorial Board	5
A unifying implementation of stratum (aka strong) orthogonal arrays	5
A new classification tree method with interaction detection capability	5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space	5
Robust fitting of mixture models using weighted complete estimating equations	5
Multivariate ranks based on randomized lift-interdirections	5
A prior for record linkage based on allelic partitions	5
A stochastic process representation for time warping functions	5
A copula duration model with dependent states and spells	5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	5
A Bayesian cluster validity index	5
A roughness penalty approach to estimate densities over two-dimensional manifolds	5
Likelihood-free inference with deep Gaussian processes	5
Locally sparse quantile estimation for a partially functional interaction model	5
Variable selection for case-cohort studies with informatively interval-censored outcomes	5
Fusion regression methods with repeated functional data	5
Conformal prediction bands for two-dimensional functional time series	5
Polya tree Monte Carlo method	5
Selecting time-series hyperparameters with the artificial jackknife	5
Bayesian nonparametric hypothesis testing for longitudinal data analysis	5
Bayesian taut splines for estimating the number of modes	5
Latent event history models for quasi-reaction systems	5
Covariate-modulated large-scale multiple testing under dependence	5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
A subspace method for large-scale trace ratio problems	5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series	5
Exceedance control of the false discovery proportion via high precision inversion method of Berk-Jones statistics	5
2nd special issue on BIOSTATISTICS	5

Inference for partially observed epidemic dynamics guided by Kalman filtering techniques	5
Editorial Board	5
Shape-constrained estimation in functional regression with Bernstein polynomials	5
Accelerating inference for stochastic kinetic models	5
Development of a new general class of bivariate distributions based on reversed hazard rate order	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
Marginal M-quantile regression for multivariate dependent data	4
Multivariate distributional stochastic frontier models	4
How to implement signed-rank wilcox.test() type procedures when a center of symmetry is unknown	4
Prediction in functional regression with discretely observed and noisy covariates	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
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression	4
Small area estimation of general finite-population parameters based on grouped data	4
Robust regression with compositional covariates	4
Feature filter for estimating central mean subspace and its sparse solution	4
Strong orthogonal Latin hypercubes for computer experiments	4
Two-sample test of stochastic block models	4
Correlation for tree-shaped datasets and its Bayesian estimation	4
A distributed community detection algorithm for large scale networks under stochastic block models	4
A Dirichlet stochastic block model for composition-weighted networks	4
Large-scale local surrogate modeling of stochastic simulation experiments	4
Clustering multivariate count data via Dirichlet-multinomial network fusion	4
Hybrid maximum likelihood inference for stochastic block models	4
Editorial Board	4
Quantile feature screening for infinite dimensional data under FDR control	4
GMM estimation of partially linear additive spatial autoregressive model	4
Robust polytomous logistic regression	4
Deep learning for quantile regression under right censoring: DeepQuantreg	4
Tuning parameter selection for penalized estimation via R2	4
Categorical CVA biplots	4
Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: An application to task-based fMRI data analysis	4
Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations	4
Testing the parametric form of the conditional variance in regressions based on distance covariance	4
Block-diagonal precision matrix regularization for ultra-high dimensional data	4
Correcting for sample selection bias in Bayesian distributional regression models	4
Functional clustering methods for binary longitudinal data with temporal heterogeneity	4
Topology-based goodness-of-fit tests for sliced spatial data	4
Editorial Board	4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model	4
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	4
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix	4
Robust heavy-tailed versions of generalized linear models with applications in actuarial science	4
Neural networks for parameter estimation in intractable models	4
Multivariate cluster-weighted models based on seemingly unrelated linear regression	3
Sequential estimation for mixture of regression models for heterogeneous population	3
A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering	3
Group linear non-Gaussian component analysis with applications to neuroimaging	3
Nonlinear predictive directions in clinical trials	3
A high dimensional dissimilarity measure	3
Group symmetric Latin hypercube designs for symmetrical global sensitivity analysis	3
Functional nonlinear principal component analysis	3
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	3
Bayesian inference for generalized linear model with linear inequality constraints	3
Estimation of banded time-varying precision matrix based on SCAD and group lasso	3
Statistical inference for partially shape-constrained function-on-scalar linear regression models	3
An efficient and distribution-free symmetry test for high-dimensional data based on energy statistics and random projections	3
2-D Rayleigh autoregressive moving average model for SAR image modeling	3
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models	3
Bayesian modal regression based on mixture distributions	3
Co-clustering multi-view data using the Latent Block Model	3
Editorial Board	3
Variational Bayesian inference for network autoregression models	3
Sufficient dimension reduction for a novel class of zero-inflated graphical models	3
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models	3
Bayesian simultaneous factorization and prediction using multi-omic data	3
Latent-class trajectory modeling with a heterogeneous mean-variance relation	3
Complexity reduction and approximation of multidomain systems of partially ordered data	3
Variable screening for varying coefficient models with ultrahigh-dimensional survival data	3
On the optimal binary classifier with an application	3
A sparse additive model for high-dimensional interactions with an exposure variable	3
A simple approach for local and global variable importance in nonlinear regression models	3
Region detection and image clustering via sparse Kronecker product decomposition	3
Functional time transformation model with applications to digital health	3
Nonnegative GARCH-type models with conditional Gamma distributions and their applications	3
Editorial Board	3
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects	3
Covariate dependent Beta-GOS process	3
One point per cluster spatially balanced sampling	3
Bayesian predictive modeling of multi-source multi-way data	3
Surrogate space based dimension reduction for nonignorable nonresponse	3
Robust direction estimation in single-index models via cumulative divergence	3
Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap	3
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler	3
Pinball boosting of regression quantiles	3
Extrapolation estimation in parametric regression models with measurement error	3
Selective inference for additive and linear mixed models	3
Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation	3
Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation	3
Editorial Board	3
A Frisch-Waugh-Lovell theorem for empirical likelihood	3
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes	3
Editorial Board	3
Active set algorithms for estimating shape-constrained density ratios	3
Fast and fully-automated histograms for large-scale data sets	3