Computational Statistics & Data Analysis

Article	Citations
Communication-efficient estimation of quantile matrix regression for massive datasets	124
Support vector subset scan for spatial pattern detection	32
Non-parametric analysis of serial dependence in time series using ordinal patterns	29
Online learning for the Dirichlet process mixture model via weakly conjugate approximation	28
Minimum profile Hellinger distance estimation of general covariate models	27
A tree approach for variable selection and its random forest	25
Robust MAVE through nonconvex penalized regression	24
Graph informed sliced inverse regression	20
Mixture-based estimation of entropy	20
Time series graphical lasso and sparse VAR estimation	18
Entropy-based test for generalised Gaussian distributions	18
Normal variance mixtures: Distribution, density and parameter estimation	18
Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping	17
Network inference from temporally dependent grouped observations	17
Hierarchical Bayesian modeling of spatio-temporal area-interaction processes	16
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	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
Goodness-of-fit test for point processes first-order intensity	13
Editorial Board	13
Group variable selection via group sparse neural network	13
Editorial Board	13
A unified framework of analyzing missing data and variable selection using regularized likelihood	13
Reparameterization of extreme value framework for improved Bayesian workflow	13
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions	13
Statistical inference of heterogeneous treatment effect based on single-index model	12

Editorial Board	12
Distributed adaptive Huber regression	12
Optimizing designs in clinical trials with an application in treatment of Epidermolysis bullosa simplex, a rare genetic skin disease	12
A hierarchical testing procedure for three arm non-inferiority trials	12
Adjusting for unmeasured confounding in survival causal effect using validation data	11
Lost in the shuffle: Testing power in the presence of errorful network vertex labels	11
On the semi-varying coefficient dynamic panel data model with autocorrelated errors	11
Bayesian semiparametric multivariate density deconvolution via stochastic rotation of replicates	11
Dynamic risk score modeling for multiple longitudinal risk factors and survival	11
Hierarchical clustered multiclass discriminant analysis via cross-validation	11
Integrated subgroup identification from multi-source data	11
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	10
Independence index sufficient variable screening for categorical responses	10
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance	10
Editorial Board	10
Editorial Board	10
Wavelet testing for a replicate-effect within an ordered multiple-trial experiment	10
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	9
Variable selection using data splitting and projection for principal fitted component models in high dimension	9
Additive dynamic models for correcting numerical model outputs	9
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection	9
Assessment of the effect of constraints in a new multivariate mixed method for statistical matching	9
High-dimensional copula-based Wasserstein dependence	9
Clustering multivariate functional data using unsupervised binary trees	9
Semiparametric quantile regression using family of quantile-based asymmetric densities	9
Editorial Board	9
Online graph topology learning from matrix-valued time series	9
Estimation of the volume under a ROC surface in presence of covariates	9
A Markov decision process for response-adaptive randomization in clinical trials	8
Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis	8
Online kernel sliced inverse regression	8
A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA	8
Classification of social media users with generalized functional data analysis	8
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity	8
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study	8
Functional principal component analysis for partially observed elliptical process	8
Laplace approximated quasi-likelihood method for heteroscedastic survival data	7
Parameter estimation and computation of the Fisher information matrix for functions of phase type random variables	7
The circular quantile residual	7
Heterogeneous quantile regression for longitudinal data with subgroup structures	7
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres	7
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density	7
Approximate Bayesian conditional copulas	7
A novel spatio-temporal clustering algorithm with applications on COVID-19 data from the United States	7
Bayesian nonparametric Erlang mixture modeling for survival analysis	7
A latent slice sampling algorithm	7
Robust communication-efficient distributed composite quantile regression and variable selection for massive data	7
Post-clustering difference testing: Valid inference and practical considerations with applications to ecological and biological data	7
Fast same-step forecast in SUTSE model and its theoretical properties	7
Systematic enumeration of two-level even-odd designs of strength 3	7

GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence	7
Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study	7
Semiparametric accelerated failure time models under unspecified random effect distributions	7
Empirical Gittins index strategies with ε-explorations for multi-armed bandit problems	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
Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA	7
A flexible factor analysis based on the class of mean-mixture of normal distributions	7
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	7
Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids	7
Robustness of cost-effectiveness analyses of cluster randomized trials assuming bivariate normality against skewed cost data	7
Conditional-mean multiplicative operator models for count time series	7
A more powerful test of equality of high-dimensional two-sample means	7
A fast trans-lasso algorithm with penalized weighted score function	7
A two-stage optimal subsampling estimation for missing data problems with large-scale data	6
Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling	6
Editorial Board	6
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments	6
Robust modeling of multivariate longitudinal data using modified Cholesky and hypersphere decompositions	6
Two-sample test in high dimensions through random selection	6
Clustering-based inter-regional correlation estimation	6
A group comparison in fMRI data using a semiparametric model under shape invariance	6
Optimal split -plot designs	6
A rank-based high-dimensional test for equality of mean vectors	6
Editorial Board	6
Full uncertainty analysis for Bayesian nonparametric mixture models	6
A semiparametric model for the cause-specific hazard under risk proportionality	6
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	6
Bayesian analysis of longitudinal data via empirical likelihood	6
Fusing sufficient dimension reduction with neural networks	6
Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination	6
Discrepancy between structured matrices in the power analysis of a separability test	6
Editorial Board	6
Editorial Board	6
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	6
Joint estimation of monotone curves via functional principal component analysis	6
Nonparametric quantile scalar-on-image regression	6
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	6
Bayesian modeling of spatial integer-valued time series	6
Dimension reduction in time series under the presence of conditional heteroscedasticity	6
Promote sign consistency in the joint estimation of precision matrices	6
Approximate computation of projection depths	6
A motif building process for simulating random networks	6
Editorial Board	6
A unified framework on defining depth for point process using function smoothing	6
A Bayesian cluster validity index	5
Estimation of high dimensional factor model with multiple threshold-type regime shifts	5
Covariate-modulated large-scale multiple testing under dependence	5
A new classification tree method with interaction detection capability	5
Minimax rates of convergence for sliced inverse regression with differential privacy	5
Study of imputation procedures for nonparametric density estimation based on missing censored lifetimes	5
Testing error heterogeneity in censored linear regression	5
Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates	5
Oracle-efficient estimation and trend inference in non-stationary time series with trend and heteroscedastic ARMA error	5
Test for the mean of high-dimensional functional time series	5
A stochastic process representation for time warping functions	5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
Explaining classifiers with measures of statistical association	5
Probability of default estimation in credit risk using mixture cure models	5
Robust fitting of mixture models using weighted complete estimating equations	5
A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes	5
Copula Particle Filters	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
Deep distribution regression	5
Editorial Board	5
A roughness penalty approach to estimate densities over two-dimensional manifolds	5
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression	5
Shape-constrained estimation in functional regression with Bernstein polynomials	5
A subspace method for large-scale trace ratio problems	5
Bayesian taut splines for estimating the number of modes	5
A prior for record linkage based on allelic partitions	5
On MCMC sampling in self-exciting integer-valued threshold time series models	5
A copula duration model with dependent states and spells	5
Detecting change structures of nonparametric regressions	5
High-dimensional causal mediation analysis based on partial linear structural equation models	5
Inference for monotone single-index conditional means: A Lorenz regression approach	5
Bayesian circular lattice filters for computationally efficient estimation of multivariate time-varying autoregressive models	5
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics	5
Conformal prediction bands for two-dimensional functional time series	5
Tuning parameter selection for penalized estimation via R2	4

An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	4
Simultaneous confidence region of an embedded one-dimensional curve in multi-dimensional space	4
Time stable empirical best predictors under a unit-level model	4
Variable selection for case-cohort studies with informatively interval-censored outcomes	4
Robust heavy-tailed versions of generalized linear models with applications in actuarial science	4
Latent event history models for quasi-reaction systems	4
Editorial Board	4
Fusion regression methods with repeated functional data	4
Categorical CVA biplots	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
Neural networks for parameter estimation in intractable models	4
Variable selection for high-dimensional incomplete data	4
Multivariate ranks based on randomized lift-interdirections	4
Bayesian nonparametric hypothesis testing for longitudinal data analysis	4
Feature filter for estimating central mean subspace and its sparse solution	4
Polya tree Monte Carlo method	4
Exceedance control of the false discovery proportion via high precision inversion method of Berk-Jones statistics	4
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series	4
Likelihood-free inference with deep Gaussian processes	4
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations	4
Clusterwise functional linear regression models	4
Strong orthogonal Latin hypercubes for computer experiments	4
Small area estimation of general finite-population parameters based on grouped data	4
Editorial Board	4
Deep learning for quantile regression under right censoring: DeepQuantreg	4
Principal component analysis using frequency components of multivariate time series	4
Locally sparse quantile estimation for a partially functional interaction model	4
Inference for partially observed epidemic dynamics guided by Kalman filtering techniques	4
Community detection via an efficient nonconvex optimization approach based on modularity	4
Tests for differential Gaussian Bayesian networks based on quadratic inference functions	4
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations	4
GMM estimation of partially linear additive spatial autoregressive model	4
A unifying implementation of stratum (aka strong) orthogonal arrays	4
Editorial Board	4
2nd special issue on BIOSTATISTICS	4
A double Pólya-Gamma data augmentation scheme for a hierarchical Negative Binomial - Binomial data model	4
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix	4
Robust regression with compositional covariates	4
Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use	4
Response adaptive designs for Phase II trials with binary endpoint based on context-dependent information measures	4
Accelerating inference for stochastic kinetic models	4