Professor Geoffrey McLachlan
Professor

Geoffrey McLachlan

Email: 
Phone: 
+61 7 336 52150

Background

Professor Geoffrey McLachlan's research interests are in: data mining, statistical analysis of microarray, gene expression data, finite mixture models and medical statistics.

Professor McLachlan received his PhD from the University of Queensland in 1974 and his DSc from there in 1994. His current research projects in statistics are in the related fields of classification, cluster and discriminant analyses, image analysis, machine learning, neural networks, and pattern recognition, and in the field of statistical inference. The focus in the latter field has been on the theory and applications of finite mixture models and on estimation via the EM algorithm.

A common theme of his research in these fields has been statistical computation, with particular attention being given to the computational aspects of the statistical methodology. This computational theme extends to Professor McLachlan's more recent interests in the field of data mining.

He is also actively involved in research in the field of medical statistics and, more recently, in the statistical analysis of microarray gene expression data.

Availability

Professor Geoffrey McLachlan is:
Available for supervision
Media expert

Fields of research

Statistics

Qualifications

  • Bachelor (Honours) of Science (Advanced), The University of Queensland
  • Doctor of Philosophy, The University of Queensland
  • Doctoral Diploma of Science (Advanced), The University of Queensland
  • Australian Mathematical Society, Australian Mathematical Society

Search Professor Geoffrey McLachlan’s works on UQ eSpace

370 works between 1972 and 2024
All (370) Journal Article (249) Book Chapter (34) Conference Publication (75) Book (9) Other Outputs (2) Edited Outputs (1)

321 - 340 of 370 works

1985

Journal Article

Likelihood Estimation with Normal Mixture-Models

Basford, KE and McLachlan, GJ (1985). Likelihood Estimation with Normal Mixture-Models. Applied Statistics-Journal of the Royal Statistical Society Series C, 34 (3), 282-289. doi: 10.2307/2347474

Likelihood Estimation with Normal Mixture-Models

1985

Journal Article

Cluster-Analysis in a Randomized Complete Block Design

Basford, KE and McLachlan, GJ (1985). Cluster-Analysis in a Randomized Complete Block Design. Communications in Statistics-Theory and Methods, 14 (2), 451-463. doi: 10.1080/03610928508828924

Cluster-Analysis in a Randomized Complete Block Design

1985

Journal Article

The Mixture Method of Clustering Applied to 3-Way Data

Basford, KE and McLachlan, GJ (1985). The Mixture Method of Clustering Applied to 3-Way Data. Journal of Classification, 2 (1), 109-125. doi: 10.1007/BF01908066

The Mixture Method of Clustering Applied to 3-Way Data

1985

Journal Article

Discrimination with Auto-Correlated Observations

Lawoko, Cro and McLachlan, GJ (1985). Discrimination with Auto-Correlated Observations. Pattern Recognition, 18 (2), 145-149. doi: 10.1016/0031-3203(85)90038-X

Discrimination with Auto-Correlated Observations

1984

Journal Article

Estimation of Mixing Proportions - a Case-Study

Do, K and McLachlan, GJ (1984). Estimation of Mixing Proportions - a Case-Study. Applied Statistics-Journal of the Royal Statistical Society Series C, 33 (2), 134-140. doi: 10.2307/2347437

Estimation of Mixing Proportions - a Case-Study

1983

Journal Article

Some Asymptotic Results On the Effect of Auto-Correlation On the Error Rates of the Sample Linear Discriminant Function

Lawoko, Cro and McLachlan, GJ (1983). Some Asymptotic Results On the Effect of Auto-Correlation On the Error Rates of the Sample Linear Discriminant Function. Pattern Recognition, 16 (1), 119-121. doi: 10.1016/0031-3203(83)90014-6

Some Asymptotic Results On the Effect of Auto-Correlation On the Error Rates of the Sample Linear Discriminant Function

1982

Journal Article

On the Likelihood Ratio Test for Compound Distributions for Homogeneity of Mixing Proportions

McLachlan, GJ, Lawoko, Cro and Ganesalingam, S (1982). On the Likelihood Ratio Test for Compound Distributions for Homogeneity of Mixing Proportions. Technometrics, 24 (4), 331-334. doi: 10.2307/1267829

On the Likelihood Ratio Test for Compound Distributions for Homogeneity of Mixing Proportions

1982

Journal Article

On the Bias and Variance of Some Proportion Estimators

McLachlan, GJ (1982). On the Bias and Variance of Some Proportion Estimators. Communications in Statistics Part B-Simulation and Computation, 11 (6), 715-726. doi: 10.1080/03610918208812290

On the Bias and Variance of Some Proportion Estimators

1982

Journal Article

On the likelihood ratio test for compound distributions for homogeneity of mixing proportions

McLachlan, G. J., Lawoko, C. R O and Ganesalingam, S. (1982). On the likelihood ratio test for compound distributions for homogeneity of mixing proportions. Technometrics, 24 (4), 331-334. doi: 10.1080/00401706.1982.10487796

On the likelihood ratio test for compound distributions for homogeneity of mixing proportions

1982

Journal Article

Updating a Discriminant Function On the Basis of Unclassified Data

McLachlan, GJ and Ganesalingam, S (1982). Updating a Discriminant Function On the Basis of Unclassified Data. Communications in Statistics Part B-Simulation and Computation, 11 (6), 753-767. doi: 10.1080/03610918208812293

Updating a Discriminant Function On the Basis of Unclassified Data

1981

Journal Article

Mathematics and Statistics for the Bio-Sciences - Eason,g, Coles,cw, Gettinby,g

McLachlan, GJ (1981). Mathematics and Statistics for the Bio-Sciences - Eason,g, Coles,cw, Gettinby,g. Biometrics, 37 (2), 417-417. doi: 10.2307/2530436

Mathematics and Statistics for the Bio-Sciences - Eason,g, Coles,cw, Gettinby,g

1981

Journal Article

Some Efficiency Results for the Estimation of the Mixing Proportion in a Mixture of 2 Normal-Distributions

Ganesalingam, S and McLachlan, GJ (1981). Some Efficiency Results for the Estimation of the Mixing Proportion in a Mixture of 2 Normal-Distributions. Biometrics, 37 (1), 23-33. doi: 10.2307/2530519

Some Efficiency Results for the Estimation of the Mixing Proportion in a Mixture of 2 Normal-Distributions

1980

Journal Article

A Comparison of the Mixture and Classification Approaches to Cluster-Analysis

Ganesalingam, S and McLachlan, GJ (1980). A Comparison of the Mixture and Classification Approaches to Cluster-Analysis. Communications in Statistics Part A-Theory and Methods, 9 (9), 923-933. doi: 10.1080/03610928008827932

A Comparison of the Mixture and Classification Approaches to Cluster-Analysis

1980

Journal Article

Error Rate Estimation On the Basis of Posterior Probabilities

Ganesalingam, S and McLachlan, GJ (1980). Error Rate Estimation On the Basis of Posterior Probabilities. Pattern Recognition, 12 (6), 405-413. doi: 10.1016/0031-3203(80)90016-3

Error Rate Estimation On the Basis of Posterior Probabilities

1980

Journal Article

On the Relationship Between the F-Test and the Overall Error Rate for Variable Selection in 2-Group Discriminant-Analysis

McLachlan, GJ (1980). On the Relationship Between the F-Test and the Overall Error Rate for Variable Selection in 2-Group Discriminant-Analysis. Biometrics, 36 (3), 501-510. doi: 10.2307/2530218

On the Relationship Between the F-Test and the Overall Error Rate for Variable Selection in 2-Group Discriminant-Analysis

1980

Journal Article

Logicstic regression compared to normal discrimination for non-normal populations

Byth, K. and McLachlan, G. J. (1980). Logicstic regression compared to normal discrimination for non-normal populations. Australian Journal of Statistics, 22 (2), 188-196. doi: 10.1111/j.1467-842X.1980.tb01166.x

Logicstic regression compared to normal discrimination for non-normal populations

1980

Journal Article

A Note On Bias Correction in Maximum Likelihood Estimation with Logistic Discrimination

McLachlan, GJ (1980). A Note On Bias Correction in Maximum Likelihood Estimation with Logistic Discrimination. Technometrics, 22 (4), 621-627. doi: 10.2307/1268202

A Note On Bias Correction in Maximum Likelihood Estimation with Logistic Discrimination

1980

Journal Article

Selection of Variables in Discriminant-Analysis

McLachlan, G (1980). Selection of Variables in Discriminant-Analysis. Biometrics, 36 (3), 554-554.

Selection of Variables in Discriminant-Analysis

1980

Journal Article

THE COVARIANCE ANALYSIS OF SOME CENSORED SURVIVAL DATA FROM A LARGE SCALE STUDY OF MELANOMA

McLachlan, G. J. and Holt, J. N. (1980). THE COVARIANCE ANALYSIS OF SOME CENSORED SURVIVAL DATA FROM A LARGE SCALE STUDY OF MELANOMA. Australian Journal of Statistics, 22 (3), 237-249. doi: 10.1111/j.1467-842X.1980.tb01173.x

THE COVARIANCE ANALYSIS OF SOME CENSORED SURVIVAL DATA FROM A LARGE SCALE STUDY OF MELANOMA

1980

Journal Article

The Efficiency of Efrons Bootstrap Approach Applied to Error Rate Estimation in Discriminant-Analysis

McLachlan, GJ (1980). The Efficiency of Efrons Bootstrap Approach Applied to Error Rate Estimation in Discriminant-Analysis. Journal of Statistical Computation and Simulation, 11 (3-4), 273-279. doi: 10.1080/00949658008810414

The Efficiency of Efrons Bootstrap Approach Applied to Error Rate Estimation in Discriminant-Analysis

Current funding

  • 2023 - 2026
    A Novel Approach to Semi-Supervised Statistical Machine Learning
    ARC Discovery Projects
    Open grant

Past funding

  • 2018 - 2022
    Classification methods for providing personalised and class decisions
    ARC Discovery Projects
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant
  • 2017 - 2020
    Power Quality Monitoring of Grids with High Penetration of Power Converters
    ARC Linkage Projects
    Open grant
  • 2017 - 2020
    Expanding the Role of Mixture Models in Statistical Analyses of Big Data
    ARC Discovery Projects
    Open grant
  • 2015 - 2018
    Gene expression profiling in critically ill patients with septic shock: The ADRENAL-GEPS Study
    NHMRC Project Grant
    Open grant
  • 2015 - 2017
    Large-Scale Statistical Inference: Multiple Testing
    ARC Discovery Projects
    Open grant
  • 2014 - 2016
    System to Synapse
    ARC Linkage Projects
    Open grant
  • 2014 - 2017
    Advanced Mixture Models for the Analysis of Modern-Day Data
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    System to synapse: a small animal imaging suite
    UQ Collaboration and Industry Engagement Fund
    Open grant
  • 2012 - 2014
    Joint Clustering and Matching of Multivariate Samples Across Objects
    ARC Discovery Projects
    Open grant
  • 2012 - 2014
    Statistical Modelling of Complex, High-Dimensional Data
    Vice-Chancellor's Senior Research Fellowship
    Open grant
  • 2011 - 2013
    A New Approach to Fast Matrix Factorization for the Statistical Analysis of High-Dimensional Data
    ARC Discovery Projects
    Open grant
  • 2008 - 2010
    Mixture models for high-dimensional clustering with applications to tumour classification, network intrusion, and text classification
    ARC Discovery Projects
    Open grant
  • 2007 - 2011
    Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics
    ARC Discovery Projects
    Open grant
  • 2007 - 2009
    Noncoding RNAs as prognostic markers and therapeutic targets in breast cancer
    NHMRC Project Grant
    Open grant
  • 2004
    ARC Network in Imaging Science and Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 2004
    ARC Research Network in Microarray Technology
    ARC Seed Funding for Research Networks
    Open grant
  • 2003 - 2010
    ARC Centre of Excellence in Bioinformatics
    ARC Centres of Excellence
    Open grant
  • 2003
    Classification of Microarray Gene-Expression Data
    ARC Discovery Projects
    Open grant
  • 2003
    Classification of Microarray Gene-expression Data
    UQ External Support Enabling Grant
    Open grant
  • 2003
    Unsupervised learning of finite mixture models in data mining applications
    ARC Discovery Projects
    Open grant
  • 2000 - 2002
    Classification of Multiply Observed Features in Terms of Fitted Densities
    ARC Australian Research Council (Large grants)
    Open grant
  • 2000 - 2002
    On Algorithms for the Automatic Analysis and Segmentation of Correlated Images
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999 - 2001
    Artificial Neural Networks and the EM Algorithm
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999
    On mixture regression models with constrained components for application to failure data on heart valves
    ARC Australian Research Council (Small grants)
    Open grant
  • 1998
    Robust cluster analysis
    ARC Australian Research Council (Small grants)
    Open grant
  • 1997
    On mixture models in medical imaging
    ARC Australian Research Council (Small grants)
    Open grant
  • 1997 - 1999
    The Analysis of Plant Adaptation Data with Emphasis on Unbalanced Sets
    ARC Australian Research Council (Large grants)
    Open grant
  • 1995 - 1997
    Approximation of multi-dimensional functions for curve fitting and model building
    ARC Australian Research Council (Large grants)
    Open grant

Availability

Professor Geoffrey McLachlan is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

Contact Professor Geoffrey McLachlan directly for media enquiries about:

  • Bioinformatics
  • Computation - statistics
  • Computer learning
  • Data mining
  • Gene expression data
  • Image analysis - statistics
  • Machine learning
  • Neural networks
  • Pattern recognition - statistics
  • Statistical methodology
  • Statistics

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