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	76
Bayesian empirical likelihood for ridge and lasso regressions	25
Robust distributed modal regression for massive data	25
Functional outlier detection and taxonomy by sequential transformations	24
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
On MCMC sampling in self-exciting integer-valued threshold time series models	20
Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis	19
Robust variable selection with exponential squared loss for the spatial autoregressive model	18
Distributed subdata selection for big data via sampling-based approach	17
Cellwise robust M regression	15
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
Optimal designs for order-of-addition experiments	14
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data	14
Estimating scale-invariant directed dependence of bivariate distributions	14
A comparison of single and multiple changepoint techniques for time series data	14
Bayesian spatio-temporal models for stream networks	13
Posterior inference for sparse hierarchical non-stationary models	13
Finding groups in structural equation modeling through the partial least squares algorithm	13
Deep learning for quantile regression under right censoring: DeepQuantreg	13
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
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation	12

Community detection via an efficient nonconvex optimization approach based on modularity	12
Robust boosting for regression problems	11
Robust regression with compositional covariates	11
Degrees of freedom and model selection for k-means clustering	11
A new avenue for Bayesian inference with INLA	11
An advanced hidden Markov model for hourly rainfall time series	11
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions	11
Two-sample tests for multivariate functional data with applications	11
Varying-coefficient models for dynamic networks	11
Sparse functional principal component analysis in a new regression framework	11
Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables	10
A nested copula duration model for competing risks with multiple spells	10
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations	10
Non-parametric analysis of serial dependence in time series using ordinal patterns	10
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling	10
Generalized Co-clustering Analysis via Regularized Alternating Least Squares	9
On the use of random forest for two-sample testing	9
Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines	9
Deep distribution regression	9
A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data	9
Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method	9
A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network	9
Partially functional linear regression in reproducing kernel Hilbert spaces	9
Variable selection for generalized odds rate mixture cure models with interval-censored failure time data	9
Dimensionality determination: A thresholding double ridge ratio approach	9
Nonparametric feature selection by random forests and deep neural networks	9
The impact of genetic diversity statistics on model selection between coalescents	9
Robust estimation for semi-functional linear regression models	9
The Delaunay triangulation learner and its ensembles	9
Generalized k-means in GLMs with applications to the outbreak of CO	8
Clustering multivariate functional data using unsupervised binary trees	8
Hybrid safe–strong rules for efficient optimization in lasso-type problems	8
Embedding and learning with signatures	8
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects	8
An algorithm for non-parametric estimation in state–space models	8
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones	8
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	8
On the inferential implications of decreasing weight structures in mixture models	7
Entropy-based test for generalised Gaussian distributions	7
sJIVE: Supervised joint and individual variation explained	7
Neural networks for parameter estimation in intractable models	7
A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions	7
Efficient permutation testing of variable importance measures by the example of random forests	7
Robust prediction interval estimation for Gaussian processes by cross-validation method	7
Parallel cross-validation: A scalable fitting method for Gaussian process models	7
Variable selection in high-dimensional linear model with possibly asymmetric errors	7
Asymptotic distributions and performance of empirical skewness measures	7
Log-regularly varying scale mixture of normals for robust regression	7
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	6
Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer ’s disease	6

A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	6
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation	6
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses	6
A prior for record linkage based on allelic partitions	6
K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means	6
Variational Bayesian inference for network autoregression models	6
Robust communication-efficient distributed composite quantile regression and variable selection for massive data	6
Fast stable parameter estimation for linear dynamical systems	6
Online updating method to correct for measurement error in big data streams	6
Semiparametric quantile regression using family of quantile-based asymmetric densities	6
Large-scale estimation of random graph models with local dependence	6
A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies	6
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	6
Generalized ordinal patterns allowing for ties and their applications in hydrology	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
Estimation of incident dynamic AUC in practice	6
SIMEX estimation in parametric modal regression with measurement error	6
Outlier detection in networks with missing links	6
Stochastic representation of FGM copulas using multivariate Bernoulli random variables	6
Smooth LASSO estimator for the Function-on-Function linear regression model	6
Frequentist delta-variance approximations with mixed-effects models and TMB	6
Prediction of non-stationary response functions using a Bayesian composite Gaussian process	5
Variational inference for high dimensional structured factor copulas	5
Primal path algorithm for compositional data analysis	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
A latent space model for multilayer network data	5
Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination	5
Improved linear regression prediction by transfer learning	5
An objective Bayes factor with improper priors	5
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	5
A kernel-based measure for conditional mean dependence	5
Extending finite mixtures of t linear mixed-effects models with conc	5
New EM-type algorithms for the Heckman selection model	5
Generalized accelerated hazards mixture cure models with interval-censored data	5
Penalised maximum likelihood estimation in multi-state models for interval-censored data	5
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels	5
Bayesian beta regression for bounded responses with unknown supports	5
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	5
Generalized co-sparse factor regression	5
Bayesian regularization of Gaussian graphical models with measurement error	5
A flexible factor analysis based on the class of mean-mixture of normal distributions	5
Ensemble sparse estimation of covariance structure for exploring genetic disease data	5
Unsupervised image segmentation with Gaussian Pairwise Markov Fields	5
Censored mean variance sure independence screening for ultrahigh dimensional survival data	5
Comparison of nonlinear curves and surfaces	5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
Hidden semi-Markov-switching quantile regression for time series	5
Weighted quantile regression in varying-coefficient model with longitudinal data	5
Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation	5
FunCC: A new bi-clustering algorithm for functional data with misalignment	5
Fast Bayesian estimation of spatial count data models	5
A motif building process for simulating random networks	5
Nonparametric Bayesian inference for the spectral density based on irregularly spaced data	5
ℓ0-Regularized high-dimensional accelerated failure time model	5
On empirical estimation of mode based on weakly dependent samples	5
Jackknife empirical likelihood inference for the Pietra ratio	4
Spatial heterogeneity automatic detection and estimation	4
Approximate Bayesian conditional copulas	4
A high dimensional dissimilarity measure	4
Two sample tests for high-dimensional autocovariances	4
Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors	4
Modeling rate of adaptive trait evolution using Cox–Ingersoll–Ross process: An Approximate Bayesian Computation approach	4
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes	4
The general goodness-of-fit tests for correlated data	4
Estimation of the volume under a ROC surface in presence of covariates	4
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes	4
Multiclass-penalized logistic regression	4
Dealing with overdispersion in multivariate count data	4
Angle-based cost-sensitive multicategory classification	4
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes	4
Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions	4
Approximate computation of projection depths	4
Maximum likelihood estimation of diffusions by continuous time Markov chain	4
Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design	4
A new classification tree method with interaction detection capability	4
Robust subset selection	4
Regression models using shapes of functions as predictors	4

Completely monotone distributions: Mixing, approximation and estimation of number of species	4
GMM estimation of partially linear additive spatial autoregressive model	4
High-dimensional causal mediation analysis based on partial linear structural equation models	4
Sampling a two dimensional matrix	4
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection	4
Communication-efficient distributed M-estimation with missing data	4
A generalized correlated C criterion for derivative estimation with dependent errors	4
Principal component analysis using frequency components of multivariate time series	4
Clusterwise functional linear regression models	4
Selective inference for additive and linear mixed models	4
Hypothesis testing of varying coefficients for regional quantiles	4
Fusing sufficient dimension reduction with neural networks	4
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	4
Simplified R-vine based forward regression	4
Robust mixture regression modeling based on the normal mean-variance mixture distributions	4
Two-sample test in high dimensions through random selection	4
Clustering, multicollinearity, and singular vectors	4
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics	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
Regression analysis of asynchronous longitudinal data with informative observation processes	4
A more powerful test of equality of high-dimensional two-sample means	4
TA algorithms for D-optimal OofA Mixture designs	4
Model averaging assisted sufficient dimension reduction	4
Gaussian Bayesian network comparisons with graph ordering unknown	4
Active learning in multiple-class classification problems via individualized binary models	4
Bootstrap confidence intervals for multiple change points based on moving sum procedures	4
Outlier detection in multivariate functional data through a contaminated mixture model	4
Semiparametric least-squares regression with doubly-censored data	4
A general robust t-process regression model	4
Kendall regression coefficient	4
Independence index sufficient variable screening for categorical responses	4
A new approach to varying-coefficient additive models with longitudinal covariates	4
Markov-switching state-space models with applications to neuroimaging	4
Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models	4
A class of Birnbaum–Saunders type kernel density estimators for nonnegative data	4
Modeling and inference for multivariate time series of counts based on the INGARCH scheme	4
Augmented quasi-sudoku designs in field trials	4
A roughness penalty approach to estimate densities over two-dimensional manifolds	4
Bayesian model selection for high-dimensional Ising models, with applications to educational data	4