Computational Statistics & Data Analysis

Article	Citations
A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics	89
Clustering with the Average Silhouette Width	72
Robust distributed modal regression for massive data	25
Bayesian empirical likelihood for ridge and lasso regressions	23
Functional outlier detection and taxonomy by sequential transformations	22
Two new matrix-variate distributions with application in model-based clustering	20
Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework	20
Quantile regression in big data: A divide and conquer based strategy	19
Robust variable selection with exponential squared loss for the spatial autoregressive model	18
On MCMC sampling in self-exciting integer-valued threshold time series models	18
Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis	17
A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs	16
Distributed subdata selection for big data via sampling-based approach	16
Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data	15
An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data	15
A comparison of single and multiple changepoint techniques for time series data	14
Optimal designs for order-of-addition experiments	14
Cellwise robust M regression	14
Some goodness-of-fit tests for the Poisson distribution with applications in Biodosimetry	14
Estimating scale-invariant directed dependence of bivariate distributions	14
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data	14
Grouped variable screening for ultra-high dimensional data for linear model	14
Posterior inference for sparse hierarchical non-stationary models	13
Deep learning for quantile regression under right censoring: DeepQuantreg	13
Finding groups in structural equation modeling through the partial least squares algorithm	13

Model-based co-clustering for mixed type data	12
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation	12
Bayesian spatio-temporal models for stream networks	12
Estimation of the Mann–Whitney effect in the two-sample problem under dependent censoring	12
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms	12
Interval estimation of the ruin probability in the classical compound Poisson risk model	11
Varying-coefficient models for dynamic networks	11
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions	11
Robust boosting for regression problems	11
An advanced hidden Markov model for hourly rainfall time series	11
Community detection via an efficient nonconvex optimization approach based on modularity	11
Robust regression with compositional covariates	11
Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response	11
Degrees of freedom and model selection for k-means clustering	11
A new avenue for Bayesian inference with INLA	10
Corrected Mallows criterion for model averaging	10
Sparse functional principal component analysis in a new regression framework	10
Two-sample tests for multivariate functional data with applications	10
A nested copula duration model for competing risks with multiple spells	10
Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method	10
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling	10
Non-parametric analysis of serial dependence in time series using ordinal patterns	10
Empirical likelihood for partially linear single-index models with missing observations	9
A multivariate normal regression model for survival data subject to different types of dependent censoring	9
A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network	9
Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines	9
The Delaunay triangulation learner and its ensembles	9
Dimensionality determination: A thresholding double ridge ratio approach	9
Generalized Co-clustering Analysis via Regularized Alternating Least Squares	9
Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables	9
Variable selection for generalized odds rate mixture cure models with interval-censored failure time data	9
Estimation of the additive hazards model with case K interval-censor	9
Nonparametric feature selection by random forests and deep neural networks	9
The impact of genetic diversity statistics on model selection between coalescents	9
Clustering multivariate functional data using unsupervised binary trees	8
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	8
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations	8
Partially functional linear regression in reproducing kernel Hilbert spaces	8
A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data	8
Generalized k-means in GLMs with applications to the outbreak of CO	8
A two-piece normal measurement error model	8
Deep distribution regression	8
Structural learning of contemporaneous dependencies in graphical VAR models	8
Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data	8
Hybrid safe–strong rules for efficient optimization in lasso-type problems	8
Robust estimation for semi-functional linear regression models	8
On the use of random forest for two-sample testing	7
Bayesian bridge-randomized penalized quantile regression	7
Borrowing strength and borrowing index for Bayesian hierarchical models	7
Entropy-based test for generalised Gaussian distributions	7

An algorithm for non-parametric estimation in state–space models	7
Embedding and learning with signatures	7
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects	7
A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions	7
Variable selection in high-dimensional linear model with possibly asymmetric errors	7
Asymptotic distributions and performance of empirical skewness measures	7
Neural networks for parameter estimation in intractable models	7
Parallel cross-validation: A scalable fitting method for Gaussian process models	7
On the inferential implications of decreasing weight structures in mixture models	7
Approximate filtering of conditional intensity process for Poisson count data: Application to urban crime	7
Efficient permutation testing of variable importance measures by the example of random forests	7
Model checks for functional linear regression models based on projected empirical processes	7
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones	7
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	6
Variational Bayesian inference for network autoregression models	6
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	6
Online updating method to correct for measurement error in big data streams	6
Robust prediction interval estimation for Gaussian processes by cross-validation method	6
A high-dimensional spatial rank test for two-sample location problems	6
Robust communication-efficient distributed composite quantile regression and variable selection for massive data	6
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	6
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation	6
Stochastic representation of FGM copulas using multivariate Bernoulli random variables	6
Generalized ordinal patterns allowing for ties and their applications in hydrology	6
Outlier detection in networks with missing links	6
sJIVE: Supervised joint and individual variation explained	6
K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means	6
Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer Disease	6
A Wilcoxon-Mann-Whitney spatial scan statistic for functional data	6
Regression analysis of interval-censored failure time data with time-dependent covariates	6
Semiparametric quantile regression using family of quantile-based asymmetric densities	6
Frequentist delta-variance approximations with mixed-effects models and TMB	6
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses	6
A novel Bayesian approach for variable selection in linear regression models	6
A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies	6
Log-regularly varying scale mixture of normals for robust regression	6
Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer ’s disease	6
SIMEX estimation in parametric modal regression with measurement error	6
Variational inference for high dimensional structured factor copulas	5
Primal path algorithm for compositional data analysis	5
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels	5
Nonparametric procedures for partially paired data in two groups	5
A latent space model for multilayer network data	5
Estimation of incident dynamic AUC in practice	5
Fast Bayesian estimation of spatial count data models	5
A motif building process for simulating random networks	5
A flexible factor analysis based on the class of mean-mixture of normal distributions	5
Improved linear regression prediction by transfer learning	5
On empirical estimation of mode based on weakly dependent samples	5
Prediction of non-stationary response functions using a Bayesian composite Gaussian process	5
Comparison of nonlinear curves and surfaces	5
Generalized accelerated hazards mixture cure models with interval-censored data	5
Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields	5
Weighted quantile regression in varying-coefficient model with longitudinal data	5
Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation	5
Large-scale estimation of random graph models with local dependence	5
Generalized co-sparse factor regression	5
Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination	5
Ensemble sparse estimation of covariance structure for exploring genetic disease data	5
Smooth LASSO estimator for the Function-on-Function linear regression model	5
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	5
Censored mean variance sure independence screening for ultrahigh dimensional survival data	5
Extending finite mixtures of t linear mixed-effects models with conc	5
New EM-type algorithms for the Heckman selection model	5
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	5
Normal variance mixtures: Distribution, density and parameter estimation	5
Compromise design for combination experiment of two drugs	5
Vertex nomination: The canonical sampling and the extended spectral nomination schemes	5
FunCC: A new bi-clustering algorithm for functional data with misalignment	5
Penalised maximum likelihood estimation in multi-state models for interval-censored data	5
Bayesian regularization of Gaussian graphical models with measurement error	5
An objective Bayes factor with improper priors	5
Nonparametric Bayesian inference for the spectral density based on irregularly spaced data	5
Unsupervised image segmentation with Gaussian Pairwise Markov Fields	5
Fast stable parameter estimation for linear dynamical systems	5
Robust subset selection	4
Outlier detection in multivariate functional data through a contaminated mixture model	4
Model averaging assisted sufficient dimension reduction	4
High-dimensional causal mediation analysis based on partial linear structural equation models	4
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	4

Communication-efficient distributed M-estimation with missing data	4
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection	4
Estimation of the volume under a ROC surface in presence of covariates	4
Bootstrap confidence intervals for multiple change points based on moving sum procedures	4
Multiclass-penalized logistic regression	4
Selective inference for additive and linear mixed models	4
Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates	4
Modeling and inference for multivariate time series of counts based on the INGARCH scheme	4
Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions	4
Augmented quasi-sudoku designs in field trials	4
Maximum likelihood estimation of diffusions by continuous time Markov chain	4
Simplified R-vine based forward regression	4
The general goodness-of-fit tests for correlated data	4
Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design	4
Bayesian model selection for high-dimensional Ising models, with applications to educational data	4
A high dimensional dissimilarity measure	4
A more powerful test of equality of high-dimensional two-sample means	4
Active learning in multiple-class classification problems via individualized binary models	4
Jackknife empirical likelihood inference for the Pietra ratio	4
Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors	4
GMM estimation of partially linear additive spatial autoregressive model	4
Kendall regression coefficient	4
Principal component analysis using frequency components of multivariate time series	4
A new approach to varying-coefficient additive models with longitudinal covariates	4
Independence index sufficient variable screening for categorical responses	4
Hypothesis testing of varying coefficients for regional quantiles	4
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	4
Bayesian beta regression for bounded responses with unknown supports	4
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	4
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes	4
Clustering, multicollinearity, and singular vectors	4
A class of Birnbaum–Saunders type kernel density estimators for nonnegative data	4
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics	4
TA algorithms for D-optimal OofA Mixture designs	4
Completely monotone distributions: Mixing, approximation and estimation of number of species	4
Hidden semi-Markov-switching quantile regression for time series	4
ℓ0-Regularized high-dimensional accelerated failure time model	4
Modeling rate of adaptive trait evolution using Cox–Ingersoll–Ross process: An Approximate Bayesian Computation approach	4
Gaussian Bayesian network comparisons with graph ordering unknown	4
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes	4
Semiparametric least-squares regression with doubly-censored data	4
A kernel-based measure for conditional mean dependence	4
Angle-based cost-sensitive multicategory classification	4
A general robust t-process regression model	4
Dealing with overdispersion in multivariate count data	4
Clusterwise functional linear regression models	4
A prior for record linkage based on allelic partitions	4
Two-sample test in high dimensions through random selection	4
Robust mixture regression modeling based on the normal mean-variance mixture distributions	4
Markov-switching state-space models with applications to neuroimaging	4
A new classification tree method with interaction detection capability	4
Approximate computation of projection depths	4
Agglomerative and divisive hierarchical Bayesian clustering	3
Estimation of high dimensional factor model with multiple threshold-type regime shifts	3
Assessing the effective sample size for large spatial datasets: A block likelihood approach	3
Regression models using shapes of functions as predictors	3
On cross-distance selection algorithm for hybrid sufficient dimension reduction	3
Block wild bootstrap-based CUSUM tests robust to high persistence and misspecification	3
Efficient and robust estimation of regression and scale parameters, with outlier detection	3
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes	3
Asymptotic normality of residual density estimator in stationary and explosive autoregressive models	3
Regression analysis of asynchronous longitudinal data with informative observation processes	3
Variable selection for case-cohort studies with informatively interval-censored outcomes	3
Joint model-free feature screening for ultra-high dimensional semi-competing risks data	3
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes	3
A roughness penalty approach to estimate densities over two-dimensional manifolds	3
Grouped spatial autoregressive model	3
Mediation analysis for high-dimensional mediators and outcomes with an application to multimodal imaging data	3
Efficient unequal probability resampling from finite populations	3
Ensemble quantile classifier	3
Mixture-based estimation of entropy	3
Confidence intervals for spatial scan statistic	3
Flexible quantile contour estimation for multivariate functional data: Beyond convexity	3
A hierarchical testing procedure for three arm non-inferiority trials	3
Gaussian graphical modeling for spectrometric data analysis	3
Mallows model averaging with effective model size in fragmentary data prediction	3
2-D Rayleigh autoregressive moving average model for SAR image modeling	3
Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse	3
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	3
Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models	3
Parallel-and-stream accelerator for computationally fast supervised learning	3
Robust Bayesian small area estimation based on quantile regression	3
Statistical inference for inter-arrival times of extreme events in bursty time series	3
Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances	3
Classification of social media users with generalized functional data analysis	3
Time series graphical lasso and sparse VAR estimation	3
MM algorithms for distance covariance based sufficient dimension reduction and sufficient variable selection	3
Spatial heterogeneity automatic detection and estimation	3
Complexity reduction and approximation of multidomain systems of partially ordered data	3
An ensemble of inverse moment estimators for sufficient dimension reduction	3
Bayesian subgroup analysis in regression using mixture models	3
Rank dynamics for functional data	3
Inferring time non-homogeneous Ornstein Uhlenbeck type stochastic process	3
Dimension reduction in binary response regression: A joint modeling approach	3
Truncated estimation in functional generalized linear regression models	3