Australian & New Zealand Journal of Statistics

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 2021-05-01 to 2025-05-01.)
ArticleCitations
Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*13
Model averaged tail area confidence intervals in nested linear regression models11
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Full Bayesian analysis of triple seasonal autoregressive models8
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Lower bounds of projection weighted symmetric discrepancy on uniform designs7
A seminal contribution of Ailsa Land and Alison Doig Harcourt to the field of mathematical programming6
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 dimensions4
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Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts4
Simon Christopher Barry, 12 February 1965–16 July 20234
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Robust PCA for high‐dimensional data based on characteristic transformation3
Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment3
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Asymptotics of M‐estimator in multivariate linear regression models for a class of random errors3
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Measurement errors in semi‐parametric generalised regression models2
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Testing multiple dispersion effects from unreplicated order‐of‐addition experiments2
Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies2
Online semiparametric regression via sequential Monte Carlo2
A calibrated data‐driven approach for small area estimation using big data2
Simultaneous clustering of individuals and covariates for high‐dimensional longitudinal data2
Short‐term forecasting with a computationally efficient nonparametric transfer function model2
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets2
Application of nonparametric approach to extreme value inference in distribution estimation of sample maximum and its properties2
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density2
A method to reduce the width of confidence intervals by using a normal scores transformation2
Experimental design in practice: The importance of blocking and treatment structures2
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis2
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A new minification integer‐valued autoregressive process driven by explanatory variables2
A nonparametric mixture approach to density and null proportion estimation in large‐scale multiple comparison problems1
BNPdensity: Bayesian nonparametric mixture modelling in R1
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model1
A shared parameter mixture model for longitudinal income data with missing responses and zero rounding1
A class of kth‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data1
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Variable selection using penalised likelihoods for point patterns on a linear network1
Latent heterogeneity in COVID‐19 hospitalisations: a cluster‐weighted approach to analyse mortality1
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Odds‐symmetry model for cumulative probabilities and decomposition of a conditional symmetry model in square contingency tables1
Model‐based inference using judgement post‐stratified samples in finite populations1
Efficient estimation of partially linear tail index models using B‐splines1
Exact samples sizes for clinical trials subject to size and power constraints1
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models1
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The role of pairwise matching in experimental design for an incidence outcome1
Variable selection in heterogeneous panel data models with cross‐sectional dependence1
Exact testing for heteroscedasticity in a two‐way layout in variety frost trials when incorporating a covariate1
Erratum1
Identifying changes in the distribution of income from higher‐order moments with an application to Australia1
Circular and spherical projected Cauchy distributions: A novel framework for directional data modelling0
Asymptotics for the conditional self‐weighted M$$ M $$ estimator of GRCA(p$$ p $$) models and its statistical inference0
On the diversity of test instances for studying branch‐and‐bound performance0
Forecasting the old‐age dependency ratio to determine a sustainable pension age0
Permutation entropy and its variants for measuring temporal dependence0
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Statistical balancing as an unconstrained optimisation problem0
On two conjectures about perturbations of the stochastic growth rate0
A Richards growth model to predict fruit weight0
Bayesian neural tree models for nonparametric regression0
Examining collinearities0
Variable selection and debiased estimation for single‐index expectile model0
Adversarial risk analysis for first‐price sealed‐bid auctions0
Unified robust estimation0
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The Inverse G‐Wishart distribution and variational message passing0
Autocovariance function estimation via difference schemes for a semiparametric change point model with m$$ m $$‐dependent errors0
Detection boundary for a sparse gamma scale mixture model0
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New moderation methods of higher school certificate assessments: a case study of the New South Wales practice0
Smooth tests of goodness of fit for the distributional assumption of regression models0
A new robust covariance matrix estimation for high‐dimensional microbiome data0
A novel response model and target selection method with applications to marketing0
PanIC: Consistent information criteria for general model selection problems0
Accelerating adaptation in the adaptive Metropolis–Hastings random walk algorithm0
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis0
MPS: An R package for modelling shifted families of distributions0
Spline linear mixed‐effects models for causal mediation analysis with longitudinal data0
A Festschrift for Geoff McLachlan0
Modal clustering on PPGMMGA projection subspace0
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John Newton Darroch, 1930–20240
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Visualising the pattern of long‐term genotype performance by leveraging a genomic prediction model0
Sufficient dimension reduction for clustered data via finite mixture modelling0
Text in R graphics0
Exact likelihoods for N‐mixture models with time‐to‐detection data0
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Small area estimation under a semi‐parametric covariate measured with error0
Measuring the values of cricket players0
The incremental progression from fixed to random factors in the analysis of variance: a new synthesis0
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
On distance based goodness of fit tests for missing data when missing occurs at random0
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How data or error covariance can change and still retain BLUEs as well as their covariance or the sum of squares of errors0
Bayesian analysis of multivariate mixed longitudinal ordinal and continuous data0
Bayesian decision rules to classification problems0
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Non‐parametric depth‐based tests for the multivariate location problem0
Approximate inferences for Bayesian hierarchical generalised linear regression models0
spbal: An R package for spatially balanced master sampling0
On the selection of predictors by using greedy algorithms and information theoretic criteria0
Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia0
Functional dimension reduction based on fuzzy partition and transformation0
Prediction de‐correlated inference: A safe approach for post‐prediction inference0
Global implicit function theorems and the online expectation–maximisation algorithm0
Minimum cost‐compression risk in principal component analysis0
Distributional modelling of positively skewed data via the flexible Weibull extension distribution0
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
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Visual assessment of matrix‐variate normality0
Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data0
Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R0
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The multivariate component zero‐inflated Poisson model for correlated count data analysis0
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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
Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions0
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
Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?0
Bessel regression and bbreg package to analyse bounded data0
Fast and efficient algorithms for sparse semiparametric bifunctional regression0
Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models0
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
Comparisons of distributions of Australian mental health scores0
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture‐based clustering0
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