Australian & New Zealand Journal of Statistics

Papers
(The median citation count 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Information criteria for inhomogeneous spatial point processes18
The VGAM package for negative binomial regression16
Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*12
stratifyR: An R Package for optimal stratification and sample allocation for univariate populations9
Accelerating adaptation in the adaptive Metropolis–Hastings random walk algorithm8
A folded model for compositional data analysis8
Globally intensity‐reweighted estimators forK‐ and pair correlation functions8
Adversarial risk analysis for first‐price sealed‐bid auctions7
Variable selection for first‐order Poisson integer‐valued autoregressive model with covariables6
Bayesian weighted inference from surveys6
Forecasting the old‐age dependency ratio to determine a sustainable pension age5
Modelling the travel time of transit vehicles in real‐time through a GTFS‐based road network using GPS vehicle locations5
Properties of the affine‐invariant ensemble sampler's ‘stretch move’ in high dimensions4
Modelling columnarity of pyramidal cells in the human cerebral cortex4
Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions4
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis4
What is the effective sample size of a spatial point process?4
Depth and outliers for samples of sets and random sets distributions4
MPS: An R package for modelling shifted families of distributions3
Infill asymptotics for adaptive kernel estimators of spatial intensity3
The Inverse G‐Wishart distribution and variational message passing3
Global implicit function theorems and the online expectation–maximisation algorithm3
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture‐based clustering3
A non‐stationary bivariate INAR(1) process with a simple cross‐dependence: Estimation with some properties3
A few statistical principles for data science3
Non‐parametric depth‐based tests for the multivariate location problem3
Approximate two‐sided tolerance intervals for normal mixture distributions3
Exact likelihoods for N‐mixture models with time‐to‐detection data2
Bessel regression and bbreg package to analyse bounded data2
Bayesian estimation and model comparison for linear dynamic panel models with missing values2
Variable selection using penalised likelihoods for point patterns on a linear network2
Sufficient dimension reduction for clustered data via finite mixture modelling2
Conditional intensity: A powerful tool for modelling and analysing point process data2
On a class of bivariate mixed Sarmanov distributions2
Permutation entropy and its variants for measuring temporal dependence2
Detection boundary for a sparse gamma scale mixture model2
Spatial modelling of the two‐party preferred vote in Australian federal elections: 2001–20162
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density2
Dependent radius marks of Laguerre tessellations: a case study2
A new minification integer‐valued autoregressive process driven by explanatory variables2
Experimental design in practice: The importance of blocking and treatment structures2
Model‐based inference using judgement post‐stratified samples in finite populations2
Modal non‐linear regression in the presence of Laplace measurement error2
Efficient error variance estimation in non‐parametric regression2
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis2
Projection properties of three‐level screening designs2
On goodness‐of‐fit measures for Poisson regression models1
Estimation of Poisson mean with under‐reported counts: a double sampling approach1
Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data1
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Maximum likelihood estimation for outcome‐dependent samples1
Anna Karenina and the two envelopes problem1
Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia1
Stereological inference on mean particle shape from vertical sections1
Detecting changes in task length due to task‐switching in the presence of repeated length‐biased sampling1
The focussed information criterion for generalised linear regression models for time series1
Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models1
Modal clustering on PPGMMGA projection subspace1
Statistical methods for astronomical data analysis. By A. K.Chattopadhyay and T.Chattopadhyay. New York: Springer. 2014. 349 pages. UK£49.99 (hardback). ISBN: 978‐1‐4939‐1506‐4.1
The score test for the two‐sample occupancy model1
Odds‐symmetry model for cumulative probabilities and decomposition of a conditional symmetry model in square contingency tables1
A loss‐based prior for Gaussian graphical models1
Minimum cost‐compression risk in principal component analysis1
Visual assessment of matrix‐variate normality1
Measuring the values of cricket players1
A Richards growth model to predict fruit weight1
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Visualising the pattern of long‐term genotype performance by leveraging a genomic prediction model1
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models1
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On the selection of predictors by using greedy algorithms and information theoretic criteria1
Bayesian decision rules to classification problems1
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets1
Functional dimension reduction based on fuzzy partition and transformation1
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