Computational Statistics

Papers
(The median citation count of Computational Statistics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map46
BARMPy: Bayesian additive regression models Python package44
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data38
GOLFS: feature selection via combining both global and local information for high dimensional clustering36
Reducing the overfitting in the gROC curve estimation25
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors23
Efficient online estimation for nonparametric regression models with streaming data21
A software reliability model incorporating fault removal efficiency and it’s release policy20
Generalised Bayesian sample copula of order m19
Novel matrix hit and run for sampling polytopes and its GPU implementation19
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis19
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model19
Multiway clustering with time-varying parameters19
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain17
Simultaneous confidence bands for multiple comparisons of several percentile lines16
Supervised classification of curves via a combined use of functional data analysis and tree-based methods15
Area-based epigraph and hypograph indices for functional outlier detection15
Imbalanced data sampling design based on grid boundary domain for big data13
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data12
Generalized Reduced K–Means11
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography10
Network and attribute-based clustering of tennis players and tournaments9
Estimation and model selection of heterogeneous mixture distributions: an ECME algorithm-based approach9
Quicksort leave-pair-out cross-validation for ROC curve analysis9
Large-scale dependent multiple testing via hidden semi-Markov models9
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package8
Kendall correlations and radar charts to include goals for and goals against in soccer rankings8
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting8
Bayesian flexible beta regression model with functional covariate8
Predictors with measurement error in mixtures of polynomial regressions8
Mixture models for simultaneous classification and reduction of three-way data8
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models8
hhsmm: an R package for hidden hybrid Markov/semi-Markov models7
Confidence intervals for Random Forest permutation importance with missing data7
FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework7
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models7
Expectile regression averaging method for probabilistic forecasting of electricity prices7
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions6
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives6
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning6
Intrinsic geometry-inspired dependent toroidal distribution: application to regression model for astigmatism data6
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis6
Functional regression models with functional response: a new approach and a comparative study6
A flexible two-piece normal dynamic linear model6
The concordance filter: an adaptive model-free feature screening procedure6
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging6
Informative right censoring in nonparametric survival models6
Nonparametric estimation of expected shortfall for α-mixing financial losses6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate6
Finite mixture of regression models for censored data based on the skew-t distribution6
Conditional sufficient variable selection with prior information6
Modeling of long-term survival data with unobserved dispersion via neural network5
Improving upon the effective sample size based on Godambe information for block likelihood inference5
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization5
An effective method for identifying clusters of robot strengths5
Goodness-of-fit test procedures for degradation data5
A bootstrap-enhanced fisher scoring algorithm for parameter estimation in state-space models5
Nonparametric binary regression models with spherical predictors based on the random forests kernel5
Analysis of excess deaths from COVID-19 in El Salvador through time series5
Bayesian estimation and classification for two logistic populations with a common location5
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions5
Model aggregation for doubly divided data with large size and large dimension5
The 2019 data challenge expo of the American Statistical Association5
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models5
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion5
A bootstrap test for threshold effects in a diffusion process5
Fast inference in copula models with categorical explanatory variables using the one-step procedure5
Renewable learning for multiplicative regression with streaming datasets4
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery4
Bayesian adaptive lasso quantile regression with non-ignorable missing responses4
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem4
A novel unit exponential regression model with improved estimation method under multicollinearity4
High-dimensional penalized Bernstein support vector classifier4
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients4
Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model4
Copula hidden Markov model with unknown number of states4
The power of visualizing distributional differences: formal graphical n-sample tests4
Deterministic subsampling for logistic regression with massive data4
Multi-pass Bayesian estimation: a robust Bayesian method4
Variable selection for categorical response: a comparative study4
Variational Bayesian Lasso for spline regression4
The corrected likelihood approach for adjusting measurement error in Cox’s model4
Classifying for images based on the extracted probability density function and the quasi Bayesian method4
Two-sample mean vector projection test in high-dimensional data4
A general stream sampling design4
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates4
Housing variables and immigration: an exploratory analysis in New York City4
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis4
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test4
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior4
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression4
QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models4
Multi-step estimators and shrinkage effect in time series models4
Penalized function-on-function linear quantile regression3
A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness3
INet for network integration3
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data3
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification3
Bayesian model averaging for VAR models: gretl-based implementation3
Balanced random assignments for multiple treatment groups using the Cube method3
Generalized linear model based on latent factors and supervised components3
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures3
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees3
Rank estimation for the function-on-scalar model3
A model-based approach to shot charts estimation in basketball3
Exploring local explanations of nonlinear models using animated linear projections3
Golf strategy optimization and the “Drive for show, putt for dough” adage3
On the simulation of general multivariate gamma distributions using Dickman approximations3
Using nomination sampling in estimating the area under the ROC curve3
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education3
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure3
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression3
Fitting concentric elliptical shapes under general model3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables3
Frequentist model averaging in the generalized multinomial logit model3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization3
Profile transformations for reciprocal averaging and singular value decomposition3
FRODO: a novel approach to micro–macro multilevel regression3
On four-way CP model estimation efficiency3
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks3
An efficient alternating direction algorithm for high-dimensional basis precision matrix estimation via lasso penalized D-trace loss3
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods3
Distributed Generalized Linear Models: A Privacy-Preserving Approach3
On the estimation of partially observed continuous-time Markov chains3
Kernel density estimation by stagewise algorithm with a simple dictionary3
Model selection using PRESS statistic3
Sparse estimation of linear model via Bayesian method$$^*$$3
Unsupervised learning on U.S. weather forecast performance2
Performance of evaluation metrics for classification in imbalanced data2
Sparse Bayesian multidimensional scaling(s)2
Fast and consistent algorithm for the latent block model2
Matrix-valued AutoRegressive (MAR) models in gretl2
Estimation and inference of high-dimensional partially linear spatial autoregressive models with linear constraints2
Bayesian nonparametric hypothesis testing methods on multiple comparisons2
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers2
Maximizing adjusted covariance: new supervised dimension reduction for classification2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution2
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru2
Density estimation and conditional density estimation via a least squares reconstruction method2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors2
Scoring probability maps in the basketball court with Indicator Kriging estimation2
Optimal subsampling algorithm for composite quantile regression with distributed data2
An algorithm for generating efficient block designs via a novel particle swarm approach2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network2
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data2
Parameter-expanded ECME algorithms for logistic and penalized logistic regression2
Partial membership models for soft clustering of multivariate football player performance data2
Optimal designs for longitudinal trials with discrete-time survival endpoints2
Lasso multinomial performance indicators for in-play basketball data2
A subspace aggregating algorithm for accurate classification2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes2
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models2
Change point detection using Bayesian adaptive LASSO quantile regression2
Testing procedures based on maximum likelihood estimation for marked Hawkes processes2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations2
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting2
Modal regression models based on B-splines2
Finding exclusive peak with permutation testing2
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model2
Household energy expenditure and consumption patterns in the United States2
Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico2
Influence function-based confidence intervals for the Kendall rank correlation coefficient2
Correction: Non-parametric entropy tests for Spatial dependence2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies2
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data2
Learning causal graphs using variable grouping according to ancestral relationship2
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods2
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data2
Bounds in Wasserstein distance for locally stationary functional time series2
Polynomial whitening for high-dimensional data2
Robust Bayesian variable selection for the quantile varying coefficient model2
A reduced basis decomposition approach to efficient data collection in pairwise comparison studies2
Immigrant residency and happiness in New York City2
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures2
Right-censored models on massive data2
Linear-quadratic quantile regression model with a change point due to a threshold covariate2
Fast Bayesian Inference for Birnbaum-Saunders Distribution2
Applications of resampling methods in multivariate Liu estimator2
An adaptive importance sampling for locally stable point processes2
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting2
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning2
Deep support vector quantile regression with non-crossing constraints2
Flexible scale mixtures of skewed generalized normal distributions: properties and inference2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test2
Sparse online principal component analysis for parameter estimation in factor model2
On the effectiveness of partially deterministic Bayesian neural networks2
Monitoring time dependent image processes for detecting shifts in pixel intensities2
Parameter-wise co-clustering for high-dimensional data2
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model2
Policy evaluation using model over-fitting: the Nordic case2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions2
Analysis of gender equality in US college sports’ funding via spatial clustering2
A Newton-based variant of Exclusive Lasso for improved sparse solutions2
Quasi-likelihood-based EM algorithm for regime-switching SDE2
Nonparametric derivative estimation with bimodal kernels under correlated errors2
Alternative ranking measures to predict international football results1
Leveraging single-case results to Bayesian hierarchical modelling1
Target-aware Bayesian inference via generalized thermodynamic integration1
R-estimation in linear models: algorithms, complexity, challenges1
Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions1
Random forest based quantile-oriented sensitivity analysis indices estimation1
House quality index construction and rent prediction in New York City with interactive visualization and product design1
Clustering directional data through depth functions1
Kernel-Diffeomorphism Bayesian Bootstrap Filter to reduce speckle noise on SAR images1
Exact inference for progressively Type-I censored step-stress accelerated life test under interval monitoring1
Bayesian variable selection and estimation based on asymmetric squared loss in high dimensions1
A Metropolis–Hastings Robbins–Monro algorithm via variational inference for estimating the multidimensional graded response model: a calculationally efficient estimation scheme to deal with complex te1
Individualized treatment effect estimation with compromised adversarial nets1
Fitting sparse Markov models through a collapsed Gibbs sampler1
Nonparametric confidence intervals for generalized Lorenz curve using modified empirical likelihood1
Group sparse sufficient dimension reduction: a model-free group variable selection method1
Using reference models in variable selection1
A powerful penalized multinomial logistic regression approach1
Accelerated fitting of joint models of survival and longitudinal data with cumulative variations1
Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression1
Simultaneous subgroup identification and variable selection for high dimensional data1
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey’s biweight function1
Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference1
An evolutionary estimation procedure for generalized semilinear regression trees1
Pair programming with ChatGPT for sampling and estimation of copulas1
Fuzzy clustering of time series based on weighted conditional higher moments1
Partially functional linear expectile regression model with missing observations1
Misspecification-robust likelihood-free inference in high dimensions1
Order restricted inference for Chen life time populations under progressive type-II censoring scheme with partially observed competing risks1
A pth-order random coefficients mixed binomial autoregressive process with explanatory variables1
Weather fluctuations and the (German) industrial sector1
Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ acceleration and restarting for nonlinear principal component analysis1
On the CTA-PLS test for hierarchical models: an application to the football player’s performance1
A machine learning based regulatory risk index for cryptocurrencies1
Overlapping coefficient in network-based semi-supervised clustering1
Robust image segmentation using EM-based models with TV regularization and alpha-stable distributions1
Smote enhanced cumulative moment estimation for sufficient dimension reduction1
Computer algorithms of lower-order confounding in regular designs1
A batch process for high dimensional imputation1
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute1
Robust estimation of functional factor models with functional pairwise spatial signs1
Adjusting the adjusted Rand Index1
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression1
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data1
Correction: Housing variables and immigration: an exploratory analysis in New York City1
Bayesian sequential probability ratio test for vaccine efficacy trials1
A copula-based Bayesian framework for doping detection1
The 2017 Data Challenge of the American Statistical Association1
Some new invariant sum tests and MAD tests for the assessment of Benford’s law1
0.23485779762268