Computational Statistics & Data Analysis

Article	Citations
A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics	105
Clustering with the Average Silhouette Width	95
Robust distributed modal regression for massive data	27
Two new matrix-variate distributions with application in model-based clustering	22
On MCMC sampling in self-exciting integer-valued threshold time series models	22
A new avenue for Bayesian inference with INLA	22
Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis	22
Estimating scale-invariant directed dependence of bivariate distributions	20
Vecchia–Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data	19
Robust variable selection with exponential squared loss for the spatial autoregressive model	18
Bayesian spatio-temporal models for stream networks	18
Distributed subdata selection for big data via sampling-based approach	18
A comparison of single and multiple changepoint techniques for time series data	18
Optimal designs for order-of-addition experiments	16
Robust boosting for regression problems	15
Deep learning for quantile regression under right censoring: DeepQuantreg	15
An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data	15
Sparse functional principal component analysis in a new regression framework	15
Neural networks for parameter estimation in intractable models	15
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation	14
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data	14
Two-sample tests for multivariate functional data with applications	14
Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables	14
Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions	13
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects	13

Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms	13
Community detection via an efficient nonconvex optimization approach based on modularity	13
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations	12
Efficient permutation testing of variable importance measures by the example of random forests	12
Bayesian beta regression for bounded responses with unknown supports	12
Varying-coefficient models for dynamic networks	12
An advanced hidden Markov model for hourly rainfall time series	12
Non-parametric analysis of serial dependence in time series using ordinal patterns	12
Robust regression with compositional covariates	11
A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling	11
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones	11
The Delaunay triangulation learner and its ensembles	11
Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines	11
Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation	11
A Wilcoxon-Mann-Whitney spatial scan statistic for functional data	10
Variable selection in high-dimensional linear model with possibly asymmetric errors	10
Nonparametric density estimation and bandwidth selection with B-spline bases: A novel Galerkin method	10
Nonparametric feature selection by random forests and deep neural networks	10
Deep distribution regression	10
sJIVE: Supervised joint and individual variation explained	10
The impact of genetic diversity statistics on model selection between coalescents	10
Robust estimation for semi-functional linear regression models	10
A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data	9
Embedding and learning with signatures	9
A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network	9
Variable selection for generalized odds rate mixture cure models with interval-censored failure time data	9
Smooth LASSO estimator for the Function-on-Function linear regression model	9
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis	9
Maximum likelihood estimation of diffusions by continuous time Markov chain	9
Robust prediction interval estimation for Gaussian processes by cross-validation method	9
On the use of random forest for two-sample testing	9
Frequentist delta-variance approximations with mixed-effects models and TMB	9
Generalizedk-means in GLMs with applications to the outbreak of COV	8
Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects	8
An algorithm for non-parametric estimation in state–space models	8
Hybrid safe–strong rules for efficient optimization in lasso-type problems	8
Generalized ordinal patterns allowing for ties and their applications in hydrology	8
Clustering multivariate functional data using unsupervised binary trees	8
Stochastic representation of FGM copulas using multivariate Bernoulli random variables	8
Variational Bayesian inference for network autoregression models	8
K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means	8
Outlier detection in networks with missing links	7
A mapping-based universal Kriging model for order-of-addition experiments in drug combination studies	7
Parallel cross-validation: A scalable fitting method for Gaussian process models	7
Variational inference for high dimensional structured factor copulas	7
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space	7
Fast Bayesian estimation of spatial count data models	7
Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere	7
Bootstrap confidence intervals for multiple change points based on moving sum procedures	7
A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions	7

Entropy-based test for generalised Gaussian distributions	7
Testing conditional mean through regression model sequence using Yanai’s generalized coefficient of determination	7
Estimation of incident dynamic AUC in practice	7
Log-regularly varying scale mixture of normals for robust regression	7
Fast stable parameter estimation for linear dynamical systems	7
Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels	7
The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics	6
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data	6
Unsupervised image segmentation with Gaussian Pairwise Markov Fields	6
Grouped spatial autoregressive model	6
Distributed adaptive Huber regression	6
Normal variance mixtures: Distribution, density and parameter estimation	6
Markov-switching state-space models with applications to neuroimaging	6
A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families	6
Robust communication-efficient distributed composite quantile regression and variable selection for massive data	6
Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation	6
SIMEX estimation in parametric modal regression with measurement error	6
Equivalence class selection of categorical graphical models	6
Semiparametric quantile regression using family of quantile-based asymmetric densities	6
Time series graphical lasso and sparse VAR estimation	6
Large-scale estimation of random graph models with local dependence	6
Fusing sufficient dimension reduction with neural networks	6
On empirical estimation of mode based on weakly dependent samples	6
Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer Disease	6
A prior for record linkage based on allelic partitions	6
A kernel-based measure for conditional mean dependence	6
Gaussian graphical modeling for spectrometric data analysis	6
Generalized co-sparse factor regression	6
Principal component analysis using frequency components of multivariate time series	5
Dealing with overdispersion in multivariate count data	5
MM algorithms for distance covariance based sufficient dimension reduction and sufficient variable selection	5
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes	5
Censored mean variance sure independence screening for ultrahigh dimensional survival data	5
Bayesian regularization of Gaussian graphical models with measurement error	5
An efficient algorithm to assess multivariate surrogate endpoints in a causal inference framework	5
Approximate computation of projection depths	5
Online non-parametric changepoint detection with application to monitoring operational performance of network devices	5
A flexible factor analysis based on the class of mean-mixture of normal distributions	5
A new classification tree method with interaction detection capability	5
Two sample tests for high-dimensional autocovariances	5
Regression analysis of asynchronous longitudinal data with informative observation processes	5
An objective Bayes factor with improper priors	5
High-dimensional causal mediation analysis based on partial linear structural equation models	5
A more powerful test of equality of high-dimensional two-sample means	5
A high dimensional dissimilarity measure	5
Semiparametric least-squares regression with doubly-censored data	5
Jackknife empirical likelihood inference for the Pietra ratio	5
Angle-based cost-sensitive multicategory classification	5
Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression	5
A general robust t-process regression model	5
A latent space model for multilayer network data	5
Kendall regression coefficient	5
FunCC: A new bi-clustering algorithm for functional data with misalignment	5
Modeling and inference for multivariate time series of counts based on the INGARCH scheme	5
A class of Birnbaum–Saunders type kernel density estimators for nonnegative data	5
Clustering, multicollinearity, and singular vectors	5
ℓ0-Regularized high-dimensional accelerated failure time model	5
Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data	5
Nonparametric Bayesian inference for the spectral density based on irregularly spaced data	5
TA algorithms for D-optimal OofA Mixture designs	5
Marginal M-quantile regression for multivariate dependent data	5
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation	5
Improved linear regression prediction by transfer learning	5
Classification of social media users with generalized functional data analysis	5
GMM estimation of partially linear additive spatial autoregressive model	5
Selective inference for additive and linear mixed models	5
Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses	5
Prediction of non-stationary response functions using a Bayesian composite Gaussian process	5
A motif building process for simulating random networks	5
Clusterwise functional linear regression models	5
Compromise design for combination experiment of two drugs	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
Parallel-and-stream accelerator for computationally fast supervised learning	5
Ensemble sparse estimation of covariance structure for exploring genetic disease data	5
The general goodness-of-fit tests for correlated data	5
Safe sample screening rules for multicategory angle-based support vector machines	5
Hidden semi-Markov-switching quantile regression for time series	5
Bayesian model selection for high-dimensional Ising models, with applications to educational data	5
Spatial heterogeneity automatic detection and estimation	5

Approximate Bayesian conditional copulas	5
Dimension reduction in binary response regression: A joint modeling approach	4
Outlier detection in multivariate functional data through a contaminated mixture model	4
Variable selection for case-cohort studies with informatively interval-censored outcomes	4
Communication-efficient distributed M-estimation with missing data	4
Joint estimation of monotone curves via functional principal component analysis	4
Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design	4
Two-sample test in high dimensions through random selection	4
Statistical depth for point process via the isometric log-ratio transformation	4
Robust subset selection	4
Robust variable selection and estimation via adaptive elastic net S-estimators for linear regression	4
Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies	4
Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models	4
Dynamic covariance estimation via predictive Wishart process with an application on brain connectivity estimation	4
Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions	4
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes	4
Robust mixture regression modeling based on the normal mean-variance mixture distributions	4
Multiclass-penalized logistic regression	4
Mixture-based estimation of entropy	4
Oracle-efficient estimation for functional data error distribution with simultaneous confidence band	4
Regression models using shapes of functions as predictors	4
Simplified R-vine based forward regression	4
Estimation of regional transition probabilities for spatial dynamic microsimulations from survey data lacking in regional detail	4
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme	4
A Gaussian copula joint model for longitudinal and time-to-event data with random effects	4
Hypothesis testing of varying coefficients for regional quantiles	4
Model averaging assisted sufficient dimension reduction	4
Reparameterization of extreme value framework for improved Bayesian workflow	4
A generalized correlated C criterion for derivative estimation with dependent errors	4
Truncated estimation in functional generalized linear regression models	4
Estimation of the volume under a ROC surface in presence of covariates	4
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data	4
Independence index sufficient variable screening for categorical responses	4
2-D Rayleigh autoregressive moving average model for SAR image modeling	4
Statistical test for anomalous diffusion based on empirical anomaly measure for Gaussian processes	4
Harmless label noise and informative soft-labels in supervised classification	4
Flexible quantile contour estimation for multivariate functional data: Beyond convexity	4
An exchange algorithm for optimal calibration of items in computerized achievement tests	4
Online renewable smooth quantile regression	4
Mixture additive hazards cure model with latent variables: Application to corporate default data	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
A roughness penalty approach to estimate densities over two-dimensional manifolds	4
Subgroup causal effect identification and estimation via matching tree	4
Agglomerative and divisive hierarchical Bayesian clustering	4
Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection	4
Assessing the effective sample size for large spatial datasets: A block likelihood approach	4
Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors	4
Explaining classifiers with measures of statistical association	4