OOIR: Observatory of International Research

Papers

(The TQCC of Australian & New Zealand Journal of 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 2021-04-01 to 2025-04-01.)

Article	Citations
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis	13
A Festschrift for Geoff McLachlan	11
	9
Issue Information	8
A Richards growth model to predict fruit weight	8
A class of kth‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data	7
	6
Model averaged tail area confidence intervals in nested linear regression models	5
Short‐term forecasting with a computationally efficient nonparametric transfer function model	4
Asymptotics for the conditional self‐weighted M$$ M $$ estimator of GRCA(p$$ p $$) models and its statistical inference	4
Functional dimension reduction based on fuzzy partition and transformation	4
Issue Information	4
Measuring the values of cricket players	3
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis	3
The Inverse G‐Wishart distribution and variational message passing	3
Visual assessment of matrix‐variate normality	3
A calibrated data‐driven approach for small area estimation using big data	3
Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*	2
A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming	2
Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?	2
Issue Information	2
A shared parameter mixture model for longitudinal income data with missing responses and zero rounding	2
PanIC: Consistent information criteria for general model selection problems	2
Minimum cost‐compression risk in principal component analysis	2
Issue Information	2

Issue Information	2
A new minification integer‐valued autoregressive process driven by explanatory variables	2
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets	2
Variable selection in heterogeneous panel data models with cross‐sectional dependence	2
	2
Issue Information	1
Variable selection and debiased estimation for single‐index expectile model	1
Fast and efficient algorithms for sparse semiparametric bifunctional regression	1
Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia	1
Application of nonparametric approach to extreme value inference in distribution estimation of sample maximum and its properties	1
Comparisons of distributions of Australian mental health scores	1
	1
Circular and spherical projected Cauchy distributions: A novel framework for directional data modelling	1
	1
Accelerating adaptation in the adaptive Metropolis–Hastings random walk algorithm	1
Variable selection using penalised likelihoods for point patterns on a linear network	1
On distance based goodness of fit tests for missing data when missing occurs at random	1
Full Bayesian analysis of triple seasonal autoregressive models	1
Post‐Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data. By S. E.Ahmed, F.Ahmed, and B.Yüzbaşi, Boca Raton, FL: CRC Press. 2023. 408 pages. AU$ 210.40 (hardback). ISBN:	1
John Newton Darroch, 1930–2024	1
	1
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density	1
On two conjectures about perturbations of the stochastic growth rate	1
Bayesian decision rules to classification problems	1
Sufficient dimension reduction for clustered data via finite mixture modelling	1
Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies	1
Lower bounds of projection weighted symmetric discrepancy on uniform designs	1
Examining collinearities	1
Efficient estimation of partially linear tail index models using B‐splines	1