OOIR: Observatory of International Research

Papers

(The TQCC of Computational Statistics is 3. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	43
BARMPy: Bayesian additive regression models Python package	42
Reducing the overfitting in the gROC curve estimation	26
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data	25
A software reliability model incorporating fault removal efficiency and it’s release policy	24
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	23
GOLFS: feature selection via combining both global and local information for high dimensional clustering	21
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	20
Generalised Bayesian sample copula of order m	19
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	17
Novel matrix hit and run for sampling polytopes and its GPU implementation	15
Multiway clustering with time-varying parameters	14
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	12
Simultaneous confidence bands for multiple comparisons of several percentile lines	12
Network and attribute-based clustering of tennis players and tournaments	10
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	10
FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework	9
Conformal outlier detection for multivariate functional data	9
Large-scale dependent multiple testing via hidden semi-Markov models	9
Imbalanced data sampling design based on grid boundary domain for big data	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
Area-based epigraph and hypograph indices for functional outlier detection	9
Generalized Reduced K–Means	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
Informative right censoring in nonparametric survival models	7
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	7
Conditional sufficient variable selection with prior information	7
Expectile regression averaging method for probabilistic forecasting of electricity prices	7
Confidence intervals for Random Forest permutation importance with missing data	7
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	7
A model-based restricted shapley value to measure the players’ contribution to shot actions in football	7
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	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
Modeling of long-term survival data with unobserved dispersion via neural network	6
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction	6
Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives	6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	6
A flexible two-piece normal dynamic linear model	6
Nonparametric estimation of expected shortfall for α-mixing financial losses	6
A bootstrap-enhanced fisher scoring algorithm for parameter estimation in state-space models	5
Goodness-of-fit test procedures for degradation data	5
A bootstrap test for threshold effects in a diffusion process	5
The corrected likelihood approach for adjusting measurement error in Cox’s model	5
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models	5
The concordance filter: an adaptive model-free feature screening procedure	5
Fast inference in copula models with categorical explanatory variables using the one-step procedure	5
Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization	5
Copula hidden Markov model with unknown number of states	5
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients	5
High-dimensional penalized Bernstein support vector classifier	5
An effective method for identifying clusters of robot strengths	5
Improving upon the effective sample size based on Godambe information for block likelihood inference	5
Functional regression models with functional response: a new approach and a comparative study	5
On the simulation of truncated stable distributions: a correction to the literature	5
Analysis of excess deaths from COVID-19 in El Salvador through time series	5
Nonparametric binary regression models with spherical predictors based on the random forests kernel	5
Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression	5
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	5
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion	5
The 2019 data challenge expo of the American Statistical Association	5
Finite mixture of regression models for censored data based on the skew-t distribution	5
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates	4
FRODO: a novel approach to micro–macro multilevel regression	4
A novel unit exponential regression model with improved estimation method under multicollinearity	4
The power of visualizing distributional differences: formal graphical n-sample tests	4
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior	4
A general stream sampling design	4

Variable selection via non-convex group penalization for high-dimensional nonparametric additive panel data models with fixed effects	4
Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model	4
Variational Bayesian Lasso for spline regression	4
A model-based approach to shot charts estimation in basketball	4
On the simulation of general multivariate gamma distributions using Dickman approximations	4
Two-sample mean vector projection test in high-dimensional data	4
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	4
Profile transformations for reciprocal averaging and singular value decomposition	4
Classifying for images based on the extracted probability density function and the quasi Bayesian method	4
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	4
QMSLV: a gretl package for quasi maximum likelihood estimation of stochastic volatility models	4
Renewable learning for multiplicative regression with streaming datasets	4
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	4
Deterministic subsampling for logistic regression with massive data	4
Multi-pass Bayesian estimation: a robust Bayesian method	4
Golf strategy optimization and the “Drive for show, putt for dough” adage	4
Housing variables and immigration: an exploratory analysis in New York City	4
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	4
Kernel density estimation by stagewise algorithm with a simple dictionary	4
Robust expert mixtures: handling censored data with normal mean-variance mixture distributions	4
On exhaustive sufficient dimension reduction methods for massive datasets	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
A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation	4
Exploring local explanations of nonlinear models using animated linear projections	4
On four-way CP model estimation efficiency	4
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	3
On the estimation of partially observed continuous-time Markov chains	3
Learning causal graphs using variable grouping according to ancestral relationship	3
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	3
Rank estimation for the function-on-scalar model	3
Penalized function-on-function linear quantile regression	3
Distributed Generalized Linear Models: A Privacy-Preserving Approach	3
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	3
Household energy expenditure and consumption patterns in the United States	3
Finding exclusive peak with permutation testing	3
Fast and consistent algorithm for the latent block model	3
Balanced random assignments for multiple treatment groups using the Cube method	3
INet for network integration	3
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	3
Generalized linear model based on latent factors and supervised components	3
Sparse estimation of linear model via Bayesian method$$^*$$	3
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	3
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees	3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	3
An adaptive importance sampling for locally stable point processes	3
Iterative causal discovery uncovers dynamic effects in wearable exercise data	3
Bayesian nonparametric hypothesis testing methods on multiple comparisons	3
Bayesian model averaging for VAR models: gretl-based implementation	3
Deep neural network estimation of average treatment effects based on quantile regression	3
Frequentist model averaging in the generalized multinomial logit model	3
An efficient alternating direction algorithm for high-dimensional basis precision matrix estimation via lasso penalized D-trace loss	3
Fitting concentric elliptical shapes under general model	3
Using nomination sampling in estimating the area under the ROC curve	3
Density estimation for log-transformed data	3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	3
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	3
Matrix-valued AutoRegressive (MAR) models in gretl	3
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting	3
Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution	3
Enhancing the interpretability of non-linear proportional hazard models introducing ghost variables	3