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 2021-06-01 to 2025-06-01.)

Article	Citations
Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*	13
	11
Model averaged tail area confidence intervals in nested linear regression models	9
Lower bounds of projection weighted symmetric discrepancy on uniform designs	8
Full Bayesian analysis of triple seasonal autoregressive models	8
	8
A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming	7
	5
Functional Data Analysis with R. By C. M.Crainiceanu, J.Goldsmith, A.Leroux, and E.Cui, Boca Raton, FL: Chapman and Hall/CRC. 2024. 338 pages. AU$ 138.40 (hardback). ISBN: 978‐1‐032‐24471‐6.	5
Properties of the affine‐invariant ensemble sampler's ‘stretch move’ in high dimensions	4
Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts	4
	4
Robust PCA for high‐dimensional data based on characteristic transformation	4
Simon Christopher Barry, 12 February 1965–16 July 2023	4
	4
Issue Information	3
Measurement errors in semi‐parametric generalised regression models	3
A method to reduce the width of confidence intervals by using a normal scores transformation	3
Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment	3
Simultaneous clustering of individuals and covariates for high‐dimensional longitudinal data	3
Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors	3
High‐dimensional graphical inference via partially penalised regression	2
A new minification integer‐valued autoregressive process driven by explanatory variables	2
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis	2
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets	2

Online semiparametric regression via sequential Monte Carlo	2
Issue Information	2
Experimental design in practice: The importance of blocking and treatment structures	2
A calibrated data‐driven approach for small area estimation using big data	2
Issue Information	2
Application of nonparametric approach to extreme value inference in distribution estimation of sample maximum and its properties	2
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density	2
Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies	2
Issue Information	2
Short‐term forecasting with a computationally efficient nonparametric transfer function model	2
Testing multiple dispersion effects from unreplicated order‐of‐addition experiments	2
	2
Issue Information	2
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models	1
BNPdensity: Bayesian nonparametric mixture modelling in R	1
Issue Information	1
Variable selection using penalised likelihoods for point patterns on a linear network	1
Odds‐symmetry model for cumulative probabilities and decomposition of a conditional symmetry model in square contingency tables	1
A nonparametric mixture approach to density and null proportion estimation in large‐scale multiple comparison problems	1
Issue Information	1
Latent heterogeneity in COVID‐19 hospitalisations: a cluster‐weighted approach to analyse mortality	1
Efficient estimation of partially linear tail index models using B‐splines	1
Erratum	1
Identifying changes in the distribution of income from higher‐order moments with an application to Australia	1
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model	1
The role of pairwise matching in experimental design for an incidence outcome	1
A shared parameter mixture model for longitudinal income data with missing responses and zero rounding	1
Variable selection in heterogeneous panel data models with cross‐sectional dependence	1
	1
A class of kth‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data	1
Exact samples sizes for clinical trials subject to size and power constraints	1
Bayesian analysis of multivariate mixed longitudinal ordinal and continuous data	0
The incremental progression from fixed to random factors in the analysis of variance: a new synthesis	0
Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?	0
Unified robust estimation	0
	0
Issue Information	0
Permutation entropy and its variants for measuring temporal dependence	0
Sufficient dimension reduction for clustered data via finite mixture modelling	0
Circular and spherical projected Cauchy distributions: A novel framework for directional data modelling	0
Asymptotics for the conditional self‐weighted M$$ M $$ estimator of GRCA(p$$ p $$) models and its statistical inference	0
On two conjectures about perturbations of the stochastic growth rate	0
Forecasting the old‐age dependency ratio to determine a sustainable pension age	0
spbal: An R package for spatially balanced master sampling	0
On the diversity of test instances for studying branch‐and‐bound performance	0
Statistical balancing as an unconstrained optimisation problem	0
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:	0
On the selection of predictors by using greedy algorithms and information theoretic criteria	0
	0
John Newton Darroch, 1930–2024	0

Text in R graphics	0
Visualising the pattern of long‐term genotype performance by leveraging a genomic prediction model	0
	0
The Inverse G‐Wishart distribution and variational message passing	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
Bessel regression and bbreg package to analyse bounded data	0
Examining collinearities	0
Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models	0
The multivariate component zero‐inflated Poisson model for correlated count data analysis	0
Issue Information	0
Bernoulli's Fallacy: Statistical Illogic and the Crisis of Modern Science. By AubreyClayton, New York, Columbia University Press, 1st ed., 2021. 368 pages. AU$ 57.95 (hardcover). ISBN: 10:0231199945.	0
Issue Information	0
Accelerating adaptation in the adaptive Metropolis–Hastings random walk algorithm	0
	0
	0
Approximate inferences for Bayesian hierarchical generalised linear regression models	0
A Festschrift for Geoff McLachlan	0
Smooth tests of goodness of fit for the distributional assumption of regression models	0
	0
Measuring the values of cricket players	0
PanIC: Consistent information criteria for general model selection problems	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
Variable selection and debiased estimation for single‐index expectile model	0
MPS: An R package for modelling shifted families of distributions	0
Adversarial risk analysis for first‐price sealed‐bid auctions	0
Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R	0
Bayesian neural tree models for nonparametric regression	0
Issue Information	0
Modal clustering on PPGMMGA projection subspace	0
Comparisons of distributions of Australian mental health scores	0
A Richards growth model to predict fruit weight	0
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Prediction de‐correlated inference: A safe approach for post‐prediction inference	0
	0
Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions	0
New moderation methods of higher school certificate assessments: a case study of the New South Wales practice	0
Detection boundary for a sparse gamma scale mixture model	0
Autocovariance function estimation via difference schemes for a semiparametric change point model with m$$ m $$‐dependent errors	0
A new robust covariance matrix estimation for high‐dimensional microbiome data	0
A novel response model and target selection method with applications to marketing	0
How data or error covariance can change and still retain BLUEs as well as their covariance or the sum of squares of errors	0
Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia	0
Functional dimension reduction based on fuzzy partition and transformation	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
Spline linear mixed‐effects models for causal mediation analysis with longitudinal data	0
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis	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
Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data	0
Fast and efficient algorithms for sparse semiparametric bifunctional regression	0
	0
Exact likelihoods for N‐mixture models with time‐to‐detection data	0
Small area estimation under a semi‐parametric covariate measured with error	0
Global implicit function theorems and the online expectation–maximisation algorithm	0
Issue Information	0
Minimum cost‐compression risk in principal component analysis	0
Visual assessment of matrix‐variate normality	0
Issue Information	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