OOIR: Observatory of International Research

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 2020-10-01 to 2024-10-01.)

Article	Citations
Information criteria for inhomogeneous spatial point processes	21
Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*	13
Globally intensity‐reweighted estimators forK‐ and pair correlation functions	9
Accelerating adaptation in the adaptive Metropolis–Hastings random walk algorithm	9
Adversarial risk analysis for first‐price sealed‐bid auctions	8
A new minification integer‐valued autoregressive process driven by explanatory variables	6
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis	6
Depth and outliers for samples of sets and random sets distributions	6
Properties of the affine‐invariant ensemble sampler's ‘stretch move’ in high dimensions	5
Infill asymptotics for adaptive kernel estimators of spatial intensity	5
Forecasting the old‐age dependency ratio to determine a sustainable pension age	5
Bessel regression and bbreg package to analyse bounded data	4
Variable selection using penalised likelihoods for point patterns on a linear network	4
Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions	4
Modelling columnarity of pyramidal cells in the human cerebral cortex	4
Permutation entropy and its variants for measuring temporal dependence	4
What is the effective sample size of a spatial point process?	4
Exact likelihoods for N‐mixture models with time‐to‐detection data	3
Bayesian estimation and model comparison for linear dynamic panel models with missing values	3
The Inverse G‐Wishart distribution and variational message passing	3
MPS: An R package for modelling shifted families of distributions	3
Non‐parametric depth‐based tests for the multivariate location problem	3
A Richards growth model to predict fruit weight	3
A few statistical principles for data science	3
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture‐based clustering	3

Experimental design in practice: The importance of blocking and treatment structures	2
Penalised, post‐pretest, and post‐shrinkage strategies in nonlinear growth models	2
Model‐based inference using judgement post‐stratified samples in finite populations	2
Fast and efficient algorithms for sparse semiparametric bifunctional regression	2
Dependent radius marks of Laguerre tessellations: a case study	2
Conditional intensity: A powerful tool for modelling and analysing point process data	2
Global implicit function theorems and the online expectation–maximisation algorithm	2
Detection boundary for a sparse gamma scale mixture model	2
Anna Karenina and the two envelopes problem	2
Efficient error variance estimation in non‐parametric regression	2
Regression trees for poverty mapping	2
Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis	2
Unified robust estimation	2
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.	2
ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density	2
Sufficient dimension reduction for clustered data via finite mixture modelling	2
Projection properties of three‐level screening designs	2
Odds‐symmetry model for cumulative probabilities and decomposition of a conditional symmetry model in square contingency tables	1
A loss‐based prior for Gaussian graphical models	1
Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia	1
Bayesian hierarchical mixture models for detecting non‐normal clusters applied to noisy genomic and environmental datasets	1
Functional dimension reduction based on fuzzy partition and transformation	1
Estimation of Poisson mean with under‐reported counts: a double sampling approach	1
Proportional inverse Gaussian distribution: A new tool for analysing continuous proportional data	1
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)	1
Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts	1
On the selection of predictors by using greedy algorithms and information theoretic criteria	1
Variable selection and debiased estimation for single‐index expectile model	1
Minimum cost‐compression risk in principal component analysis	1
A calibrated data‐driven approach for small area estimation using big data	1
The focussed information criterion for generalised linear regression models for time series	1
Modal clustering on PPGMMGA projection subspace	1
Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models	1
	1
BNPdensity: Bayesian nonparametric mixture modelling in R	1
Robust PCA for high‐dimensional data based on characteristic transformation	1
Small area estimation under a semi‐parametric covariate measured with error	1
Bayesian decision rules to classification problems	1
Stereological inference on mean particle shape from vertical sections	1
Visual assessment of matrix‐variate normality	1
Measuring the values of cricket players	1
Visualising the pattern of long‐term genotype performance by leveraging a genomic prediction model	1
	1
The multivariate component zero‐inflated Poisson model for correlated count data analysis	1
	1