Computational Statistics

Article	Citations
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	72
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	35
GOLFS: feature selection via combining both global and local information for high dimensional clustering	30
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	23
Reducing the overfitting in the gROC curve estimation	20
A software reliability model incorporating fault removal efficiency and it’s release policy	18
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	18
BARMPy: Bayesian additive regression models Python package	17
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	16
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	16
Dynamic sampling from a discrete probability distribution with a known distribution of rates	15
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	14
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	12
Multiway clustering with time-varying parameters	11
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	11
Large-scale dependent multiple testing via hidden semi-Markov models	11
Simultaneous confidence bands for multiple comparisons of several percentile lines	10
Imbalanced data sampling design based on grid boundary domain for big data	10
Novel matrix hit and run for sampling polytopes and its GPU implementation	10
Generalised Bayesian sample copula of order m	10
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	10
Network and attribute-based clustering of tennis players and tournaments	9
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	9
Generalized Reduced K–Means	9
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	8

Bayesian tests of symmetry for the generalized Von Mises distribution	8
Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling	8
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	8
Distribution-free goodness-of-fit tests for the Pareto distribution based on a characterization	7
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	7
Quicksort leave-pair-out cross-validation for ROC curve analysis	6
RMSE-minimizing confidence intervals for the binomial parameter	6
Mixture models for simultaneous classification and reduction of three-way data	6
Tuning selection for two-scale kernel density estimators	6
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	6
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	6
Predictors with measurement error in mixtures of polynomial regressions	6
Bayesian flexible beta regression model with functional covariate	6
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	6
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	5
Expectile regression averaging method for probabilistic forecasting of electricity prices	5
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	5
Permutation tests for mixed paired and two-sample designs	5
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
Statistical inference in massive datasets by empirical likelihood	5
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	5
The concordance filter: an adaptive model-free feature screening procedure	5
Finite mixture of regression models for censored data based on the skew-t distribution	5
On community structure validation in real networks	5
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	5
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	5
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	5
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	5
Flexible, non-parametric modeling using regularized neural networks	5
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	4
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	4
Model aggregation for doubly divided data with large size and large dimension	4
A bootstrap test for threshold effects in a diffusion process	4
Functional regression models with functional response: a new approach and a comparative study	4
Modeling of long-term survival data with unobserved dispersion via neural network	4
Multimodal information gain in Bayesian design of experiments	4
An algorithm of generating random number by wavelet denoising method and its application	4
The 2019 data challenge expo of the American Statistical Association	4
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	4
Nonparametric binary regression models with spherical predictors based on the random forests kernel	4
Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors	4
A flexible two-piece normal dynamic linear model	4
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	4
Conditional sufficient variable selection with prior information	4
Improving upon the effective sample size based on Godambe information for block likelihood inference	4
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	4
Informative right censoring in nonparametric survival models	4
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	4
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	3
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	3

Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach	3
High-dimensional penalized Bernstein support vector classifier	3
Penalized wavelet estimation and robust denoising for irregular spaced data	3
Housing variables and immigration: an exploratory analysis in New York City	3
On four-way CP model estimation efficiency	3
A note on imputing squares via polynomial combination approach	3
Graphical tests of independence for general distributions	3
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	3
Multi-step estimators and shrinkage effect in time series models	3
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	3
Copula hidden Markov model with unknown number of states	3
Strong representations of the Kaplan–Meier estimator and hazard estimator with censored widely orthant dependent data	3
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	3
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	3
Variable selection for categorical response: a comparative study	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
Renewable learning for multiplicative regression with streaming datasets	3
The corrected likelihood approach for adjusting measurement error in Cox’s model	3
Deterministic subsampling for logistic regression with massive data	3
Two-sample mean vector projection test in high-dimensional data	3
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction	3
Bayesian estimation and classification for two logistic populations with a common location	3
An effective method for identifying clusters of robot strengths	3
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	3
A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study	3
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	3
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	3
Reduced multidimensional scaling	3
Classifying for images based on the extracted probability density function and the quasi Bayesian method	3
A general stream sampling design	3
A model-based approach to shot charts estimation in basketball	2
Lasso multinomial performance indicators for in-play basketball data	2
Using nomination sampling in estimating the area under the ROC curve	2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
Frequentist model averaging in the generalized multinomial logit model	2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
Robust sparse Bayesian infinite factor models	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	2
Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels	2
Profile transformations for reciprocal averaging and singular value decomposition	2
Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme	2
FRODO: a novel approach to micro–macro multilevel regression	2
Finding exclusive peak with permutation testing	2
INet for network integration	2
On the estimation of partially observed continuous-time Markov chains	2
Penalized function-on-function linear quantile regression	2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	2
Robust estimation of the number of factors for the pair-elliptical factor models	2
Smallest covering regions and highest density regions for discrete distributions	2
Household energy expenditure and consumption patterns in the United States	2
Sparse estimation of linear model via Bayesian method$$^*$$	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Kernel density estimation by stagewise algorithm with a simple dictionary	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
The power of visualizing distributional differences: formal graphical n-sample tests	2
Deep support vector quantile regression with non-crossing constraints	2
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	2
Fitting concentric elliptical shapes under general model	2
Generalized linear model based on latent factors and supervised components	2
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
Model selection using PRESS statistic	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2
Penalized spline estimation for panel count data model with time-varying coefficients	2
Variational Bayesian Lasso for spline regression	2
Learning causal graphs using variable grouping according to ancestral relationship	2
Rank estimation for the function-on-scalar model	2

Fast and consistent algorithm for the latent block model	2
New approximate Bayesian computation algorithm for censored data	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	2
An adaptive importance sampling for locally stable point processes	2
Exploring local explanations of nonlinear models using animated linear projections	2