OOIR: Observatory of International Research

Papers

(The median citation count of Australian & New Zealand Journal of Statistics is 0. 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
A Richards growth model to predict fruit weight	8
Issue Information	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
Functional dimension reduction based on fuzzy partition and transformation	4
Issue Information	4
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
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
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
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

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
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
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
Issue Information	0
Text in R graphics	0
A nonparametric mixture approach to density and null proportion estimation in large‐scale multiple comparison problems	0
	0
Testing multiple dispersion effects from unreplicated order‐of‐addition experiments	0
Issue Information	0
Experimental design in practice: The importance of blocking and treatment structures	0
Robust PCA for high‐dimensional data based on characteristic transformation	0
The place of probability distributions in statistical learning. A commented book review of ‘Distributions for modeling location, scale, and shape using GAMLSS in R’ by Rigby et al. (2021)	0
spbal: An R package for spatially balanced master sampling	0
Model‐based inference using judgement post‐stratified samples in finite populations	0
Smooth tests of goodness of fit for the distributional assumption of regression models	0
Distributional modelling of positively skewed data via the flexible Weibull extension distribution	0
Exact testing for heteroscedasticity in a two‐way layout in variety frost trials when incorporating a covariate	0
Issue Information	0
Issue Information	0
Properties of the affine‐invariant ensemble sampler's ‘stretch move’ in high dimensions	0
Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors	0
Adversarial risk analysis for first‐price sealed‐bid auctions	0
On the diversity of test instances for studying branch‐and‐bound performance	0
Unified robust estimation	0

The multivariate component zero‐inflated Poisson model for correlated count data analysis	0
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models	0
Statistical methods for astronomical data analysis. By A. K.Chattopadhyay and T.Chattopadhyay. New York: Springer. 2014. 349 pages. UK£49.99 (hardback). ISBN: 978‐1‐4939‐1506‐4.	0
Small area estimation under a semi‐parametric covariate measured with error	0
MPS: An R package for modelling shifted families of distributions	0
	0
Approximate inferences for Bayesian hierarchical generalised linear regression models	0
Issue Information	0
A new robust covariance matrix estimation for high‐dimensional microbiome data	0
Telling Stories with Data: With Application in R. By RohanAlexander. CRC Press. 2023. 622 pages. AU$129.60 (hardback). ISBN: 978‐1‐0321‐3477‐2.	0
New moderation methods of higher school certificate assessments: a case study of the New South Wales practice	0
	0
Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data	0
Identifying changes in the distribution of income from higher‐order moments with an application to Australia	0
Erratum	0
	0
Issue Information	0
Bayesian neural tree models for nonparametric regression	0
	0
Non‐parametric depth‐based tests for the multivariate location problem	0
Issue Information	0
Issue Information	0
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture‐based clustering	0
Issue Information	0
Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models	0
	0
Latent heterogeneity in COVID‐19 hospitalisations: a cluster‐weighted approach to analyse mortality	0
Bayesian analysis of multivariate mixed longitudinal ordinal and continuous data	0
BNPdensity: Bayesian nonparametric mixture modelling in R	0
Global implicit function theorems and the online expectation–maximisation algorithm	0
Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts	0
Forecasting the old‐age dependency ratio to determine a sustainable pension age	0
Permutation entropy and its variants for measuring temporal dependence	0
Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R	0
Measurement errors in semi‐parametric generalised regression models	0
Exact samples sizes for clinical trials subject to size and power constraints	0
Online semiparametric regression via sequential Monte Carlo	0
Modal clustering on PPGMMGA projection subspace	0
Spline linear mixed‐effects models for causal mediation analysis with longitudinal data	0
	0
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model	0
	0
On the selection of predictors by using greedy algorithms and information theoretic criteria	0
A novel response model and target selection method with applications to marketing	0
Simon Christopher Barry, 12 February 1965–16 July 2023	0
Visualising the pattern of long‐term genotype performance by leveraging a genomic prediction model	0
A method to reduce the width of confidence intervals by using a normal scores transformation	0
Odds‐symmetry model for cumulative probabilities and decomposition of a conditional symmetry model in square contingency tables	0
Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment	0
Exact likelihoods for N‐mixture models with time‐to‐detection data	0
Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions	0
Prediction de‐correlated inference: A safe approach for post‐prediction inference	0
	0
Detection boundary for a sparse gamma scale mixture model	0
The role of pairwise matching in experimental design for an incidence outcome	0
Simultaneous clustering of individuals and covariates for high‐dimensional longitudinal data	0
Bessel regression and bbreg package to analyse bounded data	0