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个人简介
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.
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.
研究兴趣
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MINERALS ENGINEERING (2024): 108481-108481
Statistics and Computingno. 3 (2024): 1-31
STATISTICAL MODELLINGno. 3 (2023): 247-272
Australian & New Zealand Journal of Statistics (2023)
Journal of the Korean Statistical Societyno. 1 (2022): 154-184
Edwin J.Y. Koh,Eiman Amini, Shruti Gaur, Miguel Becerra Maquieira, Christian Jara Heck,Geoffrey J. McLachlan,Nick Beaton
SSRN Electronic Journal (2022)
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