Computational Statistics

Article	Citations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	93
Uniform design with prior information of factors under weighted wrap-around $$L_2$$-discrepancy	57
BARMPy: Bayesian additive regression models Python package	43
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	27
GOLFS: feature selection via combining both global and local information for high dimensional clustering	26
A software reliability model incorporating fault removal efficiency and it’s release policy	22
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	22
Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy	21
Generalised Bayesian sample copula of order m	19
Reducing the overfitting in the gROC curve estimation	19
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	18
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	16
Novel matrix hit and run for sampling polytopes and its GPU implementation	15
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	15
Multiway clustering with time-varying parameters	13
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	13
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	13
Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling	13
Large-scale dependent multiple testing via hidden semi-Markov models	13
Simultaneous confidence bands for multiple comparisons of several percentile lines	11
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	11
Generalized Reduced K–Means	9
Imbalanced data sampling design based on grid boundary domain for big data	9
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features	9
Network and attribute-based clustering of tennis players and tournaments	9

Supervised classification of curves via a combined use of functional data analysis and tree-based methods	9
Mixture models for simultaneous classification and reduction of three-way data	8
Estimation of spatial-functional based-line logit model for multivariate longitudinal data	8
Predictors with measurement error in mixtures of polynomial regressions	8
Bayesian flexible beta regression model with functional covariate	8
Expectile regression averaging method for probabilistic forecasting of electricity prices	8
RMSE-minimizing confidence intervals for the binomial parameter	7
Tuning selection for two-scale kernel density estimators	7
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	7
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	7
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	7
Quicksort leave-pair-out cross-validation for ROC curve analysis	7
Informative right censoring in nonparametric survival models	6
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability	6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	6
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	6
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	6
Statistical inference in massive datasets by empirical likelihood	6
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	6
Flexible, non-parametric modeling using regularized neural networks	5
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	5
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	5
Finite mixture of regression models for censored data based on the skew-t distribution	5
The concordance filter: an adaptive model-free feature screening procedure	5
Conditional sufficient variable selection with prior information	5
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	5
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	5
Functional regression models with functional response: a new approach and a comparative study	5
A flexible two-piece normal dynamic linear model	5
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	5
Adaptive step-length selection in gradient boosting for Gaussian location and scale models	4
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	4
High-dimensional penalized Bernstein support vector classifier	4
Analysis of excess deaths from COVID-19 in El Salvador through time series	4
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	4
Improving upon the effective sample size based on Godambe information for block likelihood inference	4
The 2019 data challenge expo of the American Statistical Association	4
An effective method for identifying clusters of robot strengths	4
Bayesian estimation and classification for two logistic populations with a common location	4
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	4
Multi-step estimators and shrinkage effect in time series models	4
Model aggregation for doubly divided data with large size and large dimension	4
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	4
A bootstrap test for threshold effects in a diffusion process	4
Copula hidden Markov model with unknown number of states	4
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction	4
A general stream sampling design	4
Renewable learning for multiplicative regression with streaming datasets	4

Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	4
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	4
Nonparametric binary regression models with spherical predictors based on the random forests kernel	4
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	4
Modeling of long-term survival data with unobserved dispersion via neural network	4
Two-sample mean vector projection test in high-dimensional data	3
Classifying for images based on the extracted probability density function and the quasi Bayesian method	3
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	3
INet for network integration	3
Rank estimation for the function-on-scalar model	3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	3
New approximate Bayesian computation algorithm for censored data	3
Variational Bayesian Lasso for spline regression	3
Variable selection for categorical response: a comparative study	3
Deterministic subsampling for logistic regression with massive data	3
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates	3
Housing variables and immigration: an exploratory analysis in New York City	3
Sparse estimation of linear model via Bayesian method$$^*$$	3
A model-based approach to shot charts estimation in basketball	3
Exploring local explanations of nonlinear models using animated linear projections	3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	3
Golf strategy optimization and the “Drive for show, putt for dough” adage	3
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	3
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	3
A note on imputing squares via polynomial combination approach	3
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	3
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	3
The corrected likelihood approach for adjusting measurement error in Cox’s model	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
Kernel density estimation by stagewise algorithm with a simple dictionary	3
Penalized function-on-function linear quantile regression	3
FRODO: a novel approach to micro–macro multilevel regression	3
Smallest covering regions and highest density regions for discrete distributions	3
Profile transformations for reciprocal averaging and singular value decomposition	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
On four-way CP model estimation efficiency	3
Penalized wavelet estimation and robust denoising for irregular spaced data	3
Using nomination sampling in estimating the area under the ROC curve	2
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data	2
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	2
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
Generalized linear model based on latent factors and supervised components	2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	2
An adaptive importance sampling for locally stable point processes	2
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	2
Linear-quadratic quantile regression model with a change point due to a threshold covariate	2
Deep support vector quantile regression with non-crossing constraints	2
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	2
Correction: Non-parametric entropy tests for Spatial dependence	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru	2
Scoring probability maps in the basketball court with Indicator Kriging estimation	2
Applications of resampling methods in multivariate Liu estimator	2
Nonparametric derivative estimation with bimodal kernels under correlated errors	2
An algorithm for generating efficient block designs via a novel particle swarm approach	2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
Parameter-expanded ECME algorithms for logistic and penalized logistic regression	2
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations	2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
Adaptive smoothing spline estimator for the function-on-function linear regression model	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
Frequentist model averaging in the generalized multinomial logit model	2
Parameter-wise co-clustering for high-dimensional data	2
Learning causal graphs using variable grouping according to ancestral relationship	2
On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring	2
Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	2
Partial membership models for soft clustering of multivariate football player performance data	2
Household energy expenditure and consumption patterns in the United States	2
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	2
Immigrant residency and happiness in New York City	2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	2
Fitting concentric elliptical shapes under general model	2

Optimal subsampling algorithm for composite quantile regression with distributed data	2
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data	2
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model	2
Sparse online principal component analysis for parameter estimation in factor model	2
Robust order selection of mixtures of regression models with random effects	2
Robust estimation of the number of factors for the pair-elliptical factor models	2
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model	2
Distributed Generalized Linear Models: A Privacy-Preserving Approach	2
Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme	2
Polynomial whitening for high-dimensional data	2
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	2
Policy evaluation using model over-fitting: the Nordic case	2
Monitoring time dependent image processes for detecting shifts in pixel intensities	2
Influence function-based confidence intervals for the Kendall rank correlation coefficient	2
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting	2
On the estimation of partially observed continuous-time Markov chains	2
Performance of evaluation metrics for classification in imbalanced data	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Model selection using PRESS statistic	2
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Robust sparse Bayesian infinite factor models	2
Lasso multinomial performance indicators for in-play basketball data	2
Fast and consistent algorithm for the latent block model	2
On the effectiveness of partially deterministic Bayesian neural networks	2
Testing procedures based on maximum likelihood estimation for marked Hawkes processes	2
Maximizing adjusted covariance: new supervised dimension reduction for classification	2
A Newton-based variant of Exclusive Lasso for improved sparse solutions	2
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods	2
Finding exclusive peak with permutation testing	2
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning	2
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	2
Clustering directional data through depth functions	1
Partially functional linear expectile regression model with missing observations	1
Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring	1
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables	1
Quantile regression with interval-censored data in questionnaire-based studies	1
A subspace aggregating algorithm for accurate classification	1
An extended approach for the generalized powered uniform distribution	1
Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique	1
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring	1
Fast Bayesian Inference for Birnbaum-Saunders Distribution	1
Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ acceleration and restarting for nonlinear principal component analysis	1
Variable selection for multivariate functional data via conditional correlation learning	1
Combination of optimization-free kriging models for high-dimensional problems	1
On the CTA-PLS test for hierarchical models: an application to the football player’s performance	1
A new non-archimedean metric on persistent homology	1
Alternative ranking measures to predict international football results	1
A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior	1
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey’s biweight function	1
A general semiparametric maximum likelihood method for Cox regression models with nonmonotone missing at random covariates	1
Target-aware Bayesian inference via generalized thermodynamic integration	1
The 2017 Data Challenge of the American Statistical Association	1
Pretest and shrinkage estimators for log-normal means	1
Covariance matrix testing in high dimension using random projections	1
Order restricted inference for Chen life time populations under progressive type-II censoring scheme with partially observed competing risks	1
A copula-based Bayesian framework for doping detection	1
Bayesian sequential probability ratio test for vaccine efficacy trials	1
Bootstrapping binary GEV regressions for imbalanced datasets	1
A statistical framework for analyzing housing quality: a case study of New York City	1
Let’s talk about the weather: a cluster-based approach to weather forecast accuracy	1
Some new invariant sum tests and MAD tests for the assessment of Benford’s law	1
A model-based ultrametric composite indicator for studying waste management in Italian municipalities	1
Overcoming convergence problems in PLS path modelling	1
Approximate Bayesian computation using asymptotically normal point estimates	1
Automated subset selection via information criteria optimization in generalized linear models	1
Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions	1
Fitting sparse Markov models through a collapsed Gibbs sampler	1
Pair programming with ChatGPT for sampling and estimation of copulas	1
Confidence sub-contour box: an alternative to traditional confidence intervals	1
Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference	1
Kernel regression for cause-specific hazard models with time-dependent coefficients	1
Computer algorithms of lower-order confounding in regular designs	1
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data	1
Accelerated fitting of joint models of survival and longitudinal data with cumulative variations	1
Iterative weighted LAD estimation with homoskedasticity testing using the Gini concentration index	1
Advancements in reliability estimation for the exponentiated Pareto distribution: a comparison of classical and Bayesian methods with lower record values	1
Adjusting the adjusted Rand Index	1
Adaptive tests for ANOVA in Fisher–von Mises–Langevin populations under heteroscedasticity	1
Models under which random forests perform badly; consequences for applications	1
Random forest based quantile-oriented sensitivity analysis indices estimation	1
Eras of dominance: identifying strong and weak periods in professional tennis	1
Overlapping coefficient in network-based semi-supervised clustering	1
Moments and probability density of threshold crossing times for populations in random environments under sustainable harvesting policies	1
Adaptive Kernel-Based Serial and Parallel U-Net Architectures for the Segmentation of Lung Nodules	1
Group sparse sufficient dimension reduction: a model-free group variable selection method	1
Correction: Housing variables and immigration: an exploratory analysis in New York City	1
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression	1
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models	1
A powerful penalized multinomial logistic regression approach	1
Smoothed quantile regression for censored residual life	1
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute	1
Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood	1