Computational Statistics

Article	Citations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	46
BARMPy: Bayesian additive regression models Python package	44
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	38
GOLFS: feature selection via combining both global and local information for high dimensional clustering	36
Reducing the overfitting in the gROC curve estimation	25
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	23
Efficient online estimation for nonparametric regression models with streaming data	21
A software reliability model incorporating fault removal efficiency and it’s release policy	20
Generalised Bayesian sample copula of order m	19
Novel matrix hit and run for sampling polytopes and its GPU implementation	19
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	19
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	19
Multiway clustering with time-varying parameters	19
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	17
Simultaneous confidence bands for multiple comparisons of several percentile lines	16
Supervised classification of curves via a combined use of functional data analysis and tree-based methods	15
Area-based epigraph and hypograph indices for functional outlier detection	15
Imbalanced data sampling design based on grid boundary domain for big data	13
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	12
Generalized Reduced K–Means	11
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	10
Large-scale dependent multiple testing via hidden semi-Markov models	9
Network and attribute-based clustering of tennis players and tournaments	9
Estimation and model selection of heterogeneous mixture distributions: an ECME algorithm-based approach	9
Quicksort leave-pair-out cross-validation for ROC curve analysis	9

Mixture models for simultaneous classification and reduction of three-way data	8
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	8
Statistical visualisation of tidy and geospatial data in R via kernel smoothing methods in the eks package	8
Kendall correlations and radar charts to include goals for and goals against in soccer rankings	8
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	8
Bayesian flexible beta regression model with functional covariate	8
Predictors with measurement error in mixtures of polynomial regressions	8
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	7
Expectile regression averaging method for probabilistic forecasting of electricity prices	7
hhsmm: an R package for hidden hybrid Markov/semi-Markov models	7
Confidence intervals for Random Forest permutation importance with missing data	7
FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework	7
Finite mixture of regression models for censored data based on the skew-t distribution	6
Conditional sufficient variable selection with prior information	6
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	6
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	6
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning	6
Intrinsic geometry-inspired dependent toroidal distribution: application to regression model for astigmatism data	6
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	6
Functional regression models with functional response: a new approach and a comparative study	6
A flexible two-piece normal dynamic linear model	6
The concordance filter: an adaptive model-free feature screening procedure	6
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	6
Informative right censoring in nonparametric survival models	6
Nonparametric estimation of expected shortfall for α-mixing financial losses	6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	6
Model aggregation for doubly divided data with large size and large dimension	5
The 2019 data challenge expo of the American Statistical Association	5
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	5
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	5
A bootstrap test for threshold effects in a diffusion process	5
Fast inference in copula models with categorical explanatory variables using the one-step procedure	5
Modeling of long-term survival data with unobserved dispersion via neural network	5
Improving upon the effective sample size based on Godambe information for block likelihood inference	5
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	5
An effective method for identifying clusters of robot strengths	5
Goodness-of-fit test procedures for degradation data	5
A bootstrap-enhanced fisher scoring algorithm for parameter estimation in state-space models	5
Nonparametric binary regression models with spherical predictors based on the random forests kernel	5
Analysis of excess deaths from COVID-19 in El Salvador through time series	5
Bayesian estimation and classification for two logistic populations with a common location	5
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	5
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	4
Copula hidden Markov model with unknown number of states	4
Deterministic subsampling for logistic regression with massive data	4
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	4
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	4
QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models	4
Renewable learning for multiplicative regression with streaming datasets	4

Bayesian adaptive lasso quantile regression with non-ignorable missing responses	4
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	4
A novel unit exponential regression model with improved estimation method under multicollinearity	4
A general stream sampling design	4
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates	4
High-dimensional penalized Bernstein support vector classifier	4
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	4
Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model	4
The power of visualizing distributional differences: formal graphical n-sample tests	4
Multi-pass Bayesian estimation: a robust Bayesian method	4
Variable selection for categorical response: a comparative study	4
Variational Bayesian Lasso for spline regression	4
Multi-step estimators and shrinkage effect in time series models	4
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	4
The corrected likelihood approach for adjusting measurement error in Cox’s model	4
Classifying for images based on the extracted probability density function and the quasi Bayesian method	4
Two-sample mean vector projection test in high-dimensional data	4
Housing variables and immigration: an exploratory analysis in New York City	4
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	4
Generalized linear model based on latent factors and supervised components	3
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees	3
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	3
Rank estimation for the function-on-scalar model	3
A model-based approach to shot charts estimation in basketball	3
Exploring local explanations of nonlinear models using animated linear projections	3
Golf strategy optimization and the “Drive for show, putt for dough” adage	3
On the simulation of general multivariate gamma distributions using Dickman approximations	3
Using nomination sampling in estimating the area under the ROC curve	3
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	3
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	3
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	3
Fitting concentric elliptical shapes under general model	3
Frequentist model averaging in the generalized multinomial logit model	3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	3
Profile transformations for reciprocal averaging and singular value decomposition	3
FRODO: a novel approach to micro–macro multilevel regression	3
On four-way CP model estimation efficiency	3
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	3
An efficient alternating direction algorithm for high-dimensional basis precision matrix estimation via lasso penalized D-trace loss	3
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	3
Distributed Generalized Linear Models: A Privacy-Preserving Approach	3
On the estimation of partially observed continuous-time Markov chains	3
Model selection using PRESS statistic	3
Kernel density estimation by stagewise algorithm with a simple dictionary	3
Sparse estimation of linear model via Bayesian method$$^*$$	3
Penalized function-on-function linear quantile regression	3
A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation	3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	3
INet for network integration	3
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	3
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	3
Bayesian model averaging for VAR models: gretl-based implementation	3
Balanced random assignments for multiple treatment groups using the Cube method	3
Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data	2
Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data	2
Parameter-expanded ECME algorithms for logistic and penalized logistic regression	2
Robust Bayesian variable selection for the quantile varying coefficient model	2
Optimal designs for longitudinal trials with discrete-time survival endpoints	2
Immigrant residency and happiness in New York City	2
A subspace aggregating algorithm for accurate classification	2
A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures	2
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models	2
Linear-quadratic quantile regression model with a change point due to a threshold covariate	2
Testing procedures based on maximum likelihood estimation for marked Hawkes processes	2
Applications of resampling methods in multivariate Liu estimator	2
Modal regression models based on B-splines	2
An adaptive importance sampling for locally stable point processes	2
Hierarchical relations among principal component and factor analysis procedures elucidated from a comprehensive model	2
Bayesian multivariate smoothing spline approach for yield curve joint estimation across bond types	2
Household energy expenditure and consumption patterns in the United States	2
Influence function-based confidence intervals for the Kendall rank correlation coefficient	2
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico	2
Multivariate nonnegative trigonometric sums distributions for high-dimensional multivariate circular data	2
Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies	2
On the effectiveness of partially deterministic Bayesian neural networks	2
Learning causal graphs using variable grouping according to ancestral relationship	2
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods	2
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions	2
Bounds in Wasserstein distance for locally stationary functional time series	2

Polynomial whitening for high-dimensional data	2
A Newton-based variant of Exclusive Lasso for improved sparse solutions	2
A reduced basis decomposition approach to efficient data collection in pairwise comparison studies	2
Nonparametric derivative estimation with bimodal kernels under correlated errors	2
A novel hybrid framework for forecasting stock indices based on the nonlinear time series models	2
Performance of evaluation metrics for classification in imbalanced data	2
Right-censored models on massive data	2
Fast and consistent algorithm for the latent block model	2
Fast Bayesian Inference for Birnbaum-Saunders Distribution	2
Matrix-valued AutoRegressive (MAR) models in gretl	2
A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems	2
Bayesian nonparametric hypothesis testing methods on multiple comparisons	2
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning	2
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	2
Flexible scale mixtures of skewed generalized normal distributions: properties and inference	2
Deep support vector quantile regression with non-crossing constraints	2
Sparse online principal component analysis for parameter estimation in factor model	2
Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	2
Parameter-wise co-clustering for high-dimensional data	2
Density estimation and conditional density estimation via a least squares reconstruction method	2
Monitoring time dependent image processes for detecting shifts in pixel intensities	2
An attribute-based Node2Vec model for dynamic community detection on co-authorship network	2
Robust testing based on density power divergence for comparing multiple means in the ANCOVA model	2
Policy evaluation using model over-fitting: the Nordic case	2
Partial membership models for soft clustering of multivariate football player performance data	2
Analysis of gender equality in US college sports’ funding via spatial clustering	2
Lasso multinomial performance indicators for in-play basketball data	2
Quasi-likelihood-based EM algorithm for regime-switching SDE	2
First exit and Dirichlet problem for the nonisotropic tempered $$\alpha$$-stable processes	2
Unsupervised learning on U.S. weather forecast performance	2
Change point detection using Bayesian adaptive LASSO quantile regression	2
Sparse Bayesian multidimensional scaling(s)	2
An expectation maximization algorithm for the hidden markov models with multiparameter student-t observations	2
Estimation and inference of high-dimensional partially linear spatial autoregressive models with linear constraints	2
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting	2
Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process	2
Finding exclusive peak with permutation testing	2
Maximizing adjusted covariance: new supervised dimension reduction for classification	2
Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers	2
Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru	2
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	2
Scoring probability maps in the basketball court with Indicator Kriging estimation	2
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors	2
Correction: Non-parametric entropy tests for Spatial dependence	2
Optimal subsampling algorithm for composite quantile regression with distributed data	2
An algorithm for generating efficient block designs via a novel particle swarm approach	2