GM
Geoffrey J. McLachlan
stat.MEstat.COstat.MLModels, Statisticalcs.LGmath.STstat.THAlgorithmsCluster AnalysisModels, Biological
On Valency
published · living versionsW_hp9daqqk·v1 · currentpublished
W_4jmf5n4v·v1published
Preprints & journals
142 papers in the corpus · 1975–2026Mixture of Censored Partially Linear Experts Models for Symmetric or Asymmetric Data with or without Outlying Observations: A novel approach with two-piece scale-mixture of normal distributions2610.27424v1 · Mohsen Maleki, Geoffrey J. McLachlan2026 · 0 citationsarXivon Valency
Decision-Target Reversal under Informative Label Missingness2610.25128v1 · Farinborz Setoudehtazangi, Geoffrey J. McLachlan2026 · 0 citationsarXivon Valency
How Reliable Are Large Language Models for Soil Organic Carbon Assessment? An Australian Benchmark2610.18201v1 · Yingxuan Cheng, Tong Li, Yayong Li et al.2026 · 0 citationsarXiv
Large Classification-Risk-Optional Label Acquisition2609.06873v1 · F. Setoudehtanzangi, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Deep Skew-t Mixture Models2609.00773v1 · Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models2609.00774v1 · Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk2608.30561v1 · Fariborz Setoudehtazang, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Learning from Uncertainty-dependent Missing Labels for Semi-supervised Classification2608.23960v1 · You-Gan Wang, Jinran Wu, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models2608.22843v1 · Huanchao Zhou, Jinran Wu, Fariborz Setoudehtazang et al.2026 · 0 citationsarXiv
Beyond carbon measurement: Turning agricultural carbon into credible climate action.42719313 · Li, Tong, Tian, Xin, Dalal, Ram C et al.2026 · 2 citationsInnovation (Cambridge (Mass.)). 2026;7(9):101531
Robust Deep Mixture Models2608.01613v2 · Jinran Wu, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Module-structured mixture factor models for molecular subtype discovery in transcriptomic data2606.16460v3 · Jinran Wu, Geoffrey J. McLachlan, Saumyadipta Pyne2026 · 0 citationsarXiv
Differential gene expression analysis via two-component mixture models with a semiparametric skew-normal scale mixture alternative2603.01381v2 · Sangkon Oh, Geoffrey J. McLachlan2026 · 0 citationsarXiv
Variable selection in frailty mixture cure models via penalized likelihood estimation2512.19944v1 · Richard Tawiah, Shu Kay Ng, Geoffrey J. McLachlan2025 · 0 citationsarXiv
Informative missingness and its implications in semi-supervised learning2512.04392v1 · Jinran Wu, You-Gan Wang, Geoffrey J. McLachlan2025 · 10 citationsThe Innovation Informatics, 100033, 2026
SSLfmm: An R Package for Semi-Supervised Learning with Mixed Missingness2512.03322v5 · Geoffrey J. McLachlan, Jinran Wu2025 · 0 citationsarXiv
Semi-supervised Gaussian mixture modelling with a missing-data mechanism in R2302.13206v3 · Ziyang Lyu, Daniel Ahfock, Ryan Thompson et al.2023 · 2 citationsarXiv
Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach.34752610 · Ng, Shu Kay, Tawiah, Richard, Mclachlan, Geoffrey J et al.2022 · 10 citationsBiostatistics (Oxford, England). 2022;24(1):108-123
Functional Mixtures-of-Experts2202.02249v2 · Faicel Chamroukhi, Nhat Thien Pham, Van Ha Hoang et al.2022 · 0 citationsarXiv
Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review2104.04046v4 · Daniel Ahfock, Geoffrey J. McLachlan2021 · 16 citationsarXiv
Harmless label noise and informative soft-labels in supervised classification2104.02872v1 · Daniel Ahfock, Geoffrey J. McLachlan2021 · 11 citationsarXiv
Data-fusion using factor analysis and low-rank matrix completion2104.02888v1 · Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan2021 · 1 citationarXiv
Order selection with confidence for finite mixture models2103.10640v2 · Hien D Nguyen, Daniel Fryer, Geoffrey McLachlan2021 · 3 citationsarXiv
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models2012.02385v2 · Hien Duy Nguyen, TrungTin Nguyen, Faicel Chamroukhi et al.2020 · 14 citationsJournal of Statistical Distributions and Applications, 8, Article number: 13 (2021)
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts2009.10622v7 · TrungTin Nguyen, Hien D Nguyen, Faicel Chamroukhi et al.2020 · 3 citationsarXiv
Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces2008.09787v3 · TrungTin Nguyen, Faicel Chamroukhi, Hien D Nguyen et al.2020 · 12 citationsarXiv
Multi-Node EM Algorithm for Finite Mixture Models2005.06848v1 · Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz2020 · 3 citationsarXiv
On mean and/or variance mixtures of normal distributions2005.06883v1 · Sharon X. Lee, Geoffrey J. McLachlan2020 · 5 citationsarXiv
Estimation of Classification Rules from Partially Classified Data2004.06237v1 · Geoffrey J. McLachlan, Daniel Ahfock2020 · 2 citationsarXiv
A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction.31863594 · Tawiah, Richard, McLachlan, Geoffrey J, Ng, Shu Kay2021 · 19 citationsBiometrics. 2020;76(3):753-766
An Apparent Paradox: A Classifier Trained from a Partially Classified Sample May Have Smaller Expected Error Rate Than That If the Sample Were Completely Classified1910.09189v2 · Daniel Ahfock, Geoffrey J. McLachlan2019 · 1 citationarXiv
Skew-normal Bayesian spatial heterogeneity panel data models.35707324 · Farzammehr, Mohadeseh Alsadat, Zadkarami, Mohammad Reza, McLachlan, Geoffrey J et al.2022 · 3 citationsJournal of applied statistics. 2020;47(5):804-826
Mixture cure models with time-varying and multilevel frailties for recurrent event data.31293217 · Tawiah, Richard, McLachlan, Geoffrey J, Ng, Shu Kay2023 · 12 citationsStatistical methods in medical research. 2020;29(5):1368-1385
Comment on "Hidden truncation hyperbolic distributions, finite mixtures thereof and their application for clustering" Murray, Browne, and \McNicholas1904.12057v1 · Geoffrey J. McLachlan, Sharon X. Lee2019 · 1 citationarXiv
On missing label patterns in semi-supervised learning1904.02883v1 · Daniel Ahfock, Geoffrey J. McLachlan2019 · 3 citationsarXiv
Statistical matching of non-Gaussian data1903.12342v1 · Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan2019 · 0 citationsarXiv
Approximation by finite mixtures of continuous density functions that vanish at infinity1903.00147v2 · T Tin Nguyen, Hien D Nguyen, Faicel Chamroukhi et al.2019 · 68 citationsCogent Mathematics & Statistics. 7:1 (2020)
Mini-batch learning of exponential family finite mixture models1902.03335v2 · H D Nguyen, F Forbes, G J McLachlan2019 · 24 citationsarXiv
Multilevel model with random effects for clustered survival data with multiple failure outcomes.30474216 · Tawiah, Richard, Yau, Kelvin K W, McLachlan, Geoffrey J et al.2020 · 7 citationsStatistics in medicine. 2019;38(6):1036-1055
On formulations of skew factor models: skew errors versus skew factors1810.04842v2 · Sharon X. Lee, Geoffrey J. McLachlan2018 · 0 citationsarXiv
False discovery rate control under reduced precision computation for analysis of neuroimaging data1805.04394v2 · Hien D. Nguyen, Yohan Yee, Geoffrey J. McLachlan et al.2018 · 1 citationarXiv
Randomized Mixture Models for Probability Density Approximation and Estimation1804.08341v1 · Hien D. Nguyen, Dianhui Wang, Geoffrey J. McLachlan2018 · 9 citationsarXiv
Positive data kernel density estimation via the logKDE package for R1804.08365v2 · Andrew T. Jones, Hien D. Nguyen, Geoffrey J. McLachlan2018 · 2 citationsarXiv
A Block EM Algorithm for Multivariate Skew Normal and Skew -Mixture Models.29993871 · Lee, Sharon X, Leemaqz, Kaleb L, McLachlan, Geoffrey J2019 · 18 citationsIEEE transactions on neural networks and learning systems. 2018;29(11):5581-5591
Mixtures of Factor Analyzers with Fundamental Skew Symmetric Distributions1802.02467v2 · Sharon X. Lee, Tsung-I Lin, Geoffrey J. McLachlan2018 · 7 citationsarXiv
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling.29725490 · Nguyen, Hien D, Ullmann, Jeremy F P, McLachlan, Geoffrey J et al.2026 · 16 citationsStatistical analysis and data mining. 2018;11(1):5-16
Deep Gaussian Mixture Models1711.06929v1 · Cinzia Viroli, Geoffrey J. McLachlan2017 · 3 citationsarXiv
Iteratively-Reweighted Least-Squares Fitting of Support Vector Machines: A Majorization--Minimization Algorithm Approach1705.04651v1 · Hien D. Nguyen, Geoffrey J. McLachlan2017 · 5 citationsarXiv
Some Theoretical Results Regarding the Polygonal Distribution1701.04512v1 · Hien D Nguyen, Geoffrey J McLachlan2017 · 0 citationsarXiv
Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data.28095191 · Nguyen, Hien D, McLachlan, Geoffrey J, Orban, Pierre et al.2018 · 10 citationsNeural computation. 2017;29(4):990-1020
Career total: at least 581 works. 142 are in this corpus.Showing the 50 most recent.
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