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 2022-06-01 to 2026-06-01.)

Article	Citations
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map	49
BARMPy: Bayesian additive regression models Python package	45
GOLFS: feature selection via combining both global and local information for high dimensional clustering	40
Reducing the overfitting in the gROC curve estimation	39
Efficient online estimation for nonparametric regression models with streaming data	25
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	22
An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model	20
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors	20
Generalised Bayesian sample copula of order m	20
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis	19
Novel matrix hit and run for sampling polytopes and its GPU implementation	19
Multiway clustering with time-varying parameters	17
Accuracy of precipitation forecasts: finding the right threshold for what is considered rain	16
Simultaneous confidence bands for multiple comparisons of several percentile lines	15
Imbalanced data sampling design based on grid boundary domain for big data	13
Area-based epigraph and hypograph indices for functional outlier detection	13
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data	12
Network and attribute-based clustering of tennis players and tournaments	11
Estimation and model selection of heterogeneous mixture distributions: an ECME algorithm-based approach	9
Large-scale dependent multiple testing via hidden semi-Markov models	9
Generalized Reduced K–Means	9
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography	9
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

hhsmm: an R package for hidden hybrid Markov/semi-Markov models	8
Mixture models for simultaneous classification and reduction of three-way data	8
Robust matrix factor analysis method with adaptive parameter adjustment using Cauchy weighting	8
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models	8
Quicksort leave-pair-out cross-validation for ROC curve analysis	8
Bayesian flexible beta regression model with functional covariate	7
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models	7
FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework	7
Confidence intervals for Random Forest permutation importance with missing data	7
Expectile regression averaging method for probabilistic forecasting of electricity prices	7
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
Functional regression models with functional response: a new approach and a comparative study	6
Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis	6
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions	6
A bootstrap-enhanced fisher scoring algorithm for parameter estimation in state-space models	6
Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate	6
Site-specific nitrogen recommendation: fast, accurate, and feasible Bayesian kriging	6
Informative right censoring in nonparametric survival models	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
A flexible two-piece normal dynamic linear model	6
Conditional sufficient variable selection with prior information	6
Modeling of long-term survival data with unobserved dispersion via neural network	6
The concordance filter: an adaptive model-free feature screening procedure	6
Finite mixture of regression models for censored data based on the skew-t distribution	5
Improving upon the effective sample size based on Godambe information for block likelihood inference	5
Bayesian estimation and classification for two logistic populations with a common location	5
An effective method for identifying clusters of robot strengths	5
Analysis of excess deaths from COVID-19 in El Salvador through time series	5
Nonparametric estimation of expected shortfall for α-mixing financial losses	5
Nonparametric binary regression models with spherical predictors based on the random forests kernel	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
Goodness-of-fit test procedures for degradation data	5
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
Finite mixture of regression models based on multivariate scale mixtures of skew-normal distributions	5
A bootstrap test for threshold effects in a diffusion process	5
Variational Bayesian Lasso for spline 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
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery	4
Spline estimation for a partial linear rate model of recurrent event with intermittently observed covariates	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 Behrens–Fisher problems for high-dimensional data: a normal reference F-type test	4
FRODO: a novel approach to micro–macro multilevel regression	4

Housing variables and immigration: an exploratory analysis in New York City	4
Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem	4
Bayesian adaptive lasso quantile regression with non-ignorable missing responses	4
A general stream sampling design	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
Multi-step estimators and shrinkage effect in time series models	4
Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model	4
Profile transformations for reciprocal averaging and singular value decomposition	4
Exploring local explanations of nonlinear models using animated linear projections	4
A novel unit exponential regression model with improved estimation method under multicollinearity	4
Two-sample mean vector projection test in high-dimensional data	4
Copula hidden Markov model with unknown number of states	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
Variable selection for categorical response: a comparative study	4
On four-way CP model estimation efficiency	4
The game beyond the field: on football players’ performance through social media, sentiment and topic analysis	4
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures	3
Distributed Generalized Linear Models: A Privacy-Preserving Approach	3
A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post-hoc tests for contingency tables	3
On the estimation of partially observed continuous-time Markov chains	3
Using nomination sampling in estimating the area under the ROC curve	3
The power of visualizing distributional differences: formal graphical n-sample tests	3
A model-based approach to shot charts estimation in basketball	3
INet for network integration	3
Controlling the false discovery rate by a Latent Gaussian Copula Knockoff procedure	3
Variable selection method based on BIC with consistency for non-zero partial correlations under a large-dimensional setting	3
Balanced random assignments for multiple treatment groups using the Cube method	3
An efficient alternating direction algorithm for high-dimensional basis precision matrix estimation via lasso penalized D-trace loss	3
A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education	3
Bayes estimation of ratio of scale-like parameters for inverse Gaussian distributions and applications to classification	3
Frequentist model averaging in the generalized multinomial logit model	3
Introducing Weighted Triad Census through Peeling Algorithm. An Application to Football Passing Networks	3
Matrix-valued AutoRegressive (MAR) models in gretl	3
Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization	3
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness	3
On the simulation of general multivariate gamma distributions using Dickman approximations	3
Kernel density estimation by stagewise algorithm with a simple dictionary	3
Generalized linear model based on latent factors and supervised components	3
Fitting concentric elliptical shapes under general model	3
Enhancing the interpretability of non-linear proportional hazard models introducing ghost variables	3
Fast and consistent algorithm for the latent block model	3
Rank estimation for the function-on-scalar model	3
Gaussian variational approximation for Bayesian Lasso quantile regression model with zero-or-one inflated proportional data	3
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees	3
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression	3
Sparse estimation of linear model via Bayesian method$$^*$$	3
Golf strategy optimization and the “Drive for show, putt for dough” adage	3
Multi-pass Bayesian estimation: a robust Bayesian method	3
A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation	3
Penalized function-on-function linear quantile regression	3
An adaptive importance sampling for locally stable point processes	3
Learning causal graphs using variable grouping according to ancestral relationship	3
Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods	3
Bayesian model averaging for VAR models: gretl-based implementation	3