Computational Statistics & Data Analysis

Article	Citations
Confidence intervals for tree-structured varying coefficients	43
Minimum profile Hellinger distance estimation of general covariate models	32
Differentially private estimation of weighted average treatment effects for binary outcomes	32
Graph informed sliced inverse regression	31
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	27
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	25
A tree approach for variable selection and its random forest	21
Network inference from temporally dependent grouped observations	21
Mixture-based estimation of entropy	19
Communication-efficient estimation of quantile matrix regression for massive datasets	19
Entropy-based test for generalised Gaussian distributions	18
Time series graphical lasso and sparse VAR estimation	18
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes	15
Non-parametric analysis of serial dependence in time series using ordinal patterns	15
Group variable selection via group sparse neural network	15
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	14
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	14
Editorial Board	14
Goodness-of-fit test for point processes first-order intensity	14
Editorial Board	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	13
Efficient regularized estimation of graphical proportional hazards model with interval-censored data	13
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	12
Reparameterization of extreme value framework for improved Bayesian workflow	12

Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	11
Editorial Board	11
Independence index sufficient variable screening for categorical responses	11
Editorial Board	11
Statistical inference of heterogeneous treatment effect based on single-index model	11
Hierarchical clustered multiclass discriminant analysis via cross-validation	11
Dynamic risk score modeling for multiple longitudinal risk factors and survival	11
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	10
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	10
Distributed adaptive Huber regression	10
Lost in the shuffle: Testing power in the presence of errorful network vertex labels	10
Adjusting for unmeasured confounding in survival causal effect using validation data	10
A hierarchical testing procedure for three arm non-inferiority trials	10
On the semi-varying coefficient dynamic panel data model with autocorrelated errors	10
Integrated subgroup identification from multi-source data	10
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
Functional principal component analysis for partially observed elliptical process	9
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	9
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA	9
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	9
Online kernel sliced inverse regression	9
Clustering multivariate functional data using unsupervised binary trees	9
Estimation of the volume under a ROC surface in presence of covariates	9
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	9
Editorial Board	9
A Markov decision process for response-adaptive randomization in clinical trials	9
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	9
Online graph topology learning from matrix-valued time series	9
Heterogeneous quantile regression for longitudinal data with subgroup structures	9
A more powerful test of equality of high-dimensional two-sample means	8
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	8
Multiply robust estimation of causal effects using linked data	8
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	8
Additive dynamic models for correcting numerical model outputs	8
The circular quantile residual	8
Semiparametric accelerated failure time models under unspecified random effect distributions	8
A latent slice sampling algorithm	8
A fast trans-lasso algorithm with penalized weighted score function	8
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	8
Classification of social media users with generalized functional data analysis	8
Bayesian nonparametric Erlang mixture modeling for survival analysis	8
Approximate Bayesian conditional copulas	8
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study	8
Robust communication-efficient distributed composite quantile regression and variable selection for massive data	8
High-dimensional copula-based Wasserstein dependence	8
Systematic enumeration of two-level even-odd designs of strength 3	7
Clustering-based inter-regional correlation estimation	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
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions	7

Fast same-step forecast in SUTSE model and its theoretical properties	7
Editorial Board	7
Editorial Board	7
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA	7
Conditional-mean multiplicative operator models for count time series	7
Bayesian analysis of longitudinal data via empirical likelihood	7
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres	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
A motif building process for simulating random networks	7
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	7
Discrepancy between structured matrices in the power analysis of a separability test	7
Laplace approximated quasi-likelihood method for heteroscedastic survival data	7
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	7
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables	7
Full uncertainty analysis for Bayesian nonparametric mixture models	7
Editorial Board	7
A semiparametric model for the cause-specific hazard under risk proportionality	7
A group comparison in fMRI data using a semiparametric model under shape invariance	6
Testing error heterogeneity in censored linear regression	6
Joint estimation of monotone curves via functional principal component analysis	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
Editorial Board	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
High-dimensional causal mediation analysis based on partial linear structural equation models	6
A unified framework on defining depth for point process using function smoothing	6
Minimax rates of convergence for sliced inverse regression with differential privacy	6
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	6
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	6
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	6
Bayesian modeling of spatial integer-valued time series	6
Optimal split -plot designs	6
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	6
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	6
Editorial Board	6
Detecting change structures of nonparametric regressions	6
A rank-based high-dimensional test for equality of mean vectors	6
Fusing sufficient dimension reduction with neural networks	6
Nonparametric quantile scalar-on-image regression	6
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
A Bayesian cluster validity index	5
Latent event history models for quasi-reaction systems	5
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series	5
Bayesian nonparametric hypothesis testing for longitudinal data analysis	5
Estimation of predictive performance in high-dimensional data settings using learning curves	5
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques	5
Multivariate ranks based on randomized lift-interdirections	5
Probability of default estimation in credit risk using mixture cure models	5
Shape-constrained estimation in functional regression with Bernstein polynomials	5
Covariate-modulated large-scale multiple testing under dependence	5
A subspace method for large-scale trace ratio problems	5
A copula duration model with dependent states and spells	5
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	5
Conformal prediction bands for two-dimensional functional time series	5
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
Robust fitting of mixture models using weighted complete estimating equations	5
Likelihood-free inference with deep Gaussian processes	5
Explaining classifiers with measures of statistical association	5
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space	5
A unifying implementation of stratum (aka strong) orthogonal arrays	5
Selecting time-series hyperparameters with the artificial jackknife	5
Accelerating inference for stochastic kinetic models	5
A new classification tree method with interaction detection capability	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
A roughness penalty approach to estimate densities over two-dimensional manifolds	5
Editorial Board	5
2nd special issue on BIOSTATISTICS	5
Variable selection for case-cohort studies with informatively interval-censored outcomes	5
Fusion regression methods with repeated functional data	5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	5
A stochastic process representation for time warping functions	5
Polya tree Monte Carlo method	5
A prior for record linkage based on allelic partitions	5
Editorial Board	5
Bayesian taut splines for estimating the number of modes	5

Inference for monotone single-index conditional means: A Lorenz regression approach	5
Copula Particle Filters	5
On MCMC sampling in self-exciting integer-valued threshold time series models	5
Robust polytomous logistic regression	4
Quantile feature screening for infinite dimensional data under FDR control	4
Large-scale local surrogate modeling of stochastic simulation experiments	4
How to implement signed-rank wilcox.test() type procedures when a center of symmetry is unknown	4
A distributed community detection algorithm for large scale networks under stochastic block models	4
Strong orthogonal Latin hypercubes for computer experiments	4
GMM estimation of partially linear additive spatial autoregressive model	4
Deep learning for quantile regression under right censoring: DeepQuantreg	4
Locally sparse quantile estimation for a partially functional interaction model	4
Categorical CVA biplots	4
Robust heavy-tailed versions of generalized linear models with applications in actuarial science	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
Correlation for tree-shaped datasets and its Bayesian estimation	4
Two-sample test of stochastic block models	4
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use	4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model	4
Editorial Board	4
Feature filter for estimating central mean subspace and its sparse solution	4
Editorial Board	4
Small area estimation of general finite-population parameters based on grouped data	4
Correcting for sample selection bias in Bayesian distributional regression models	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
Robust regression with compositional covariates	4
Marginal M-quantile regression for multivariate dependent data	4
Neural networks for parameter estimation in intractable models	4
Tuning parameter selection for penalized estimation via R2	4
Variable selection for high-dimensional incomplete data	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
Topology-based goodness-of-fit tests for sliced spatial data	4
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
Prediction in functional regression with discretely observed and noisy covariates	3
Efficient unequal probability resampling from finite populations	3
Hybrid maximum likelihood inference for stochastic block models	3
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	3
Pinball boosting of regression quantiles	3
Extrapolation estimation in parametric regression models with measurement error	3
Functional clustering methods for binary longitudinal data with temporal heterogeneity	3
Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap	3
Joint modelling of the body and tail of bivariate data	3
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models	3
Flexible estimation of the state dwell-time distribution in hidden semi-Markov models	3
Functional nonlinear principal component analysis	3
A high dimensional dissimilarity measure	3
On the optimal binary classifier with an application	3
Editorial Board	3
Selective inference for additive and linear mixed models	3
Variational Bayesian inference for network autoregression models	3
Sufficient dimension reduction for a novel class of zero-inflated graphical models	3
Editorial Board	3
The multi-aspect tests in the presence of ties	3
Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: An application to task-based fMRI data analysis	3
Joint non-parametric estimation of mean and auto-covariances for Gaussian processes	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
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	3
Estimation of multivariate tail quantities	3
Weighted least squares model averaging for accelerated failure time models	3
Covariate dependent Beta-GOS process	3
Complexity reduction and approximation of multidomain systems of partially ordered data	3
Group linear non-Gaussian component analysis with applications to neuroimaging	3
Nonlinear predictive directions in clinical trials	3
2-D Rayleigh autoregressive moving average model for SAR image modeling	3
A deflation-adjusted Bayesian information criterion for selecting the number of clusters in K-means clustering	3
Active set algorithms for estimating shape-constrained density ratios	3
Robust direction estimation in single-index models via cumulative divergence	3
Surrogate space based dimension reduction for nonignorable nonresponse	3
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler	3
Multivariate distributional stochastic frontier models	3
Parallel-and-stream accelerator for computationally fast supervised learning	3
Block-diagonal precision matrix regularization for ultra-high dimensional data	3
Functional time transformation model with applications to digital health	3
Testing the parametric form of the conditional variance in regressions based on distance covariance	3
Editorial Board	3
Smoothly varying regularization	3
Variable screening for varying coefficient models with ultrahigh-dimensional survival data	3
Bayesian simultaneous factorization and prediction using multi-omic data	3
Sequential estimation for mixture of regression models for heterogeneous population	3
Bayesian predictive modeling of multi-source multi-way data	3
Bayesian modal regression based on mixture distributions	3
One point per cluster spatially balanced sampling	3
Editorial Board	3
Multivariate cluster-weighted models based on seemingly unrelated linear regression	3
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation	2
A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data	2
Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures	2
Online renewable smooth quantile regression	2
Outlier detection in networks with missing links	2