Edit Profile (opens in new tab) McLachlan, Geoffrey John Compute Distance To: Compute Author ID: mclachlan.geoffrey-john Published as: McLachlan, Geoffrey J.; McLachlan, Geoffrey; Mclachlan, Geoffrey J.; McLachlan, Geoffrey John; Mclachlan, G. J. more...less Documents Indexed: 121 Publications since 1972, including 6 Books 2 Contributions as Editor · 1 Further Contribution Co-Authors: 52 Co-Authors with 69 Joint Publications 671 Co-Co-Authors all top 5 Co-Authors 29 single-authored 21 Nguyen, Hien Duy 15 Lee, Sharon X. 8 Ng, Shu-Kay 7 Ganesalingam, Selvanayagam 5 Ahfock, Daniel C. 5 Wang, Kui 4 Lawoko, Charles Richard Ogiki 4 Lee, Andy H. 4 Lin, Tsung I. 4 Yau, Kelvin K. W. 3 Ambroise, Christophe 3 Byth, Karen 3 Farzammehr, Mohadeseh Alsadat 3 Janke, Andrew L. 3 Jones, P. N. 3 Lloyd-Jones, Luke R. 3 Pyne, Saumyadipta 3 Zadkarami, Mohammad Reza 2 Chamroukhi, Faicel 2 Huang, Tian-Hsiang 2 Krishnan, Thriyambakam 2 Nguyen, TrungTin 2 Nikulin, Vladimir 2 Peel, David A. 2 Rathnayake, Suren I. 2 Ullmann, Jeremy F. P. 2 Wood, Ian A. 1 Basford, Kaye Enid 1 Bean, Richard Winston 1 Bellec, Pierre C. 1 Bhansali, Rajendra J. 1 Böhning, Dankmar 1 Cameron, Ewan 1 Chang, S. U. 1 Charnigo, Richard 1 Chopin, Nicolas 1 Claeskens, Gerda 1 Do, Kim-Anh 1 Draper, David 1 Drovandi, Christopher C. 1 Drton, Mathias 1 Ferreira, Guillermo P. 1 Forbes, Florence 1 Friel, Nial 1 Frisoli, Kayla 1 Govaert, Gérard 1 Hawkins, Douglas M. 1 Hennig, Christian 1 Hillman, Elizabeth M. C. 1 Hjort, Nils Lid 1 Holt, J. N. 1 Imai, Toru 1 Ingrassia, Salvatore 1 Jones, Andrew T. 1 Jones, L. Ben-Tovim 1 Kuriki, Satoshi 1 Kuroki, Manabu 1 Leo, Sharon X. 1 Lerch, Jason 1 Li, Wenze 1 Ling, Yurong 1 Longford, Nicholas Tibor 1 Lorenzi, Elizabeth 1 Mateu, Jorge 1 Mattei, Pierre-Alexandre 1 McKeone, James P. 1 McNicholas, Paul D. 1 Mohammadzadeh, Mohsen 1 Moreno, Elías 1 Nugent, Rebecca 1 Oates, Chris J. 1 Orban, Pierre 1 Pettitt, Anthony N. 1 Quinn, Barry G. 1 Racugno, Walter 1 Raftery, Adrian E. 1 Reutens, David C. 1 Robert, Christian P. Robert 1 Rousseau, Judith 1 Scot, D. 1 Scott, Jane A. 1 South, Leah F. 1 Stehlík, Milan 1 Sumpton, Wayne 1 Tawiah, Richard 1 Ventura, Laura 1 Viroli, Cinzia 1 Voleti, Venkatakaushik 1 Wang, Dianhui 1 Wang, Kent 1 Wang, Wan-Lun 1 Wang, Yougan 1 White, Arthur T. 1 Wu, Pal H. 1 Wyse, Jason 1 Xue, Jing-Hao 1 Yang, Xiaochen 1 Yee, Yohan 1 Zhao, Yun 1 Zhu, Rui all top 5 Serials 11 Computational Statistics and Data Analysis 9 Biometrics 9 Communications in Statistics. Theory and Methods 6 Pattern Recognition 6 Statistics and Computing 5 The Australian Journal of Statistics 5 Technometrics 5 Statistics & Probability Letters 4 Biometrical Journal 4 Communications in Statistics. Simulation and Computation 4 Advances in Data Analysis and Classification. ADAC 3 Biometrika 3 Journal of the American Statistical Association 3 Journal of Multivariate Analysis 3 Journal of Statistical Computation and Simulation 2 Neural Computation 2 Test 2 Journal of Applied Statistics 2 Statistical Methods in Medical Research 2 Statistical Methods and Applications 2 Wiley Series in Probability and Statistics 2 Wiley Series in Probability and Mathematical Statistics 1 Bulletin of the Australian Mathematical Society 1 Information Sciences 1 Journal of Statistical Planning and Inference 1 Statistica 1 Statistica Neerlandica 1 Journal of the Royal Statistical Society. Series C 1 Mathematical and Computer Modelling 1 Journal of the Royal Statistical Society. Series B 1 Proceedings of the National Academy of Sciences of the United States of America 1 Computers and Mathematics with Applications. Part A 1 Far East Journal of Mathematical Sciences 1 Journal of the Royal Statistical Society. Series B. Statistical Methodology 1 Statistical Modelling 1 SORT. Statistics and Operations Research Transactions 1 International Journal of Computational Intelligence and Applications 1 Statistical Methodology 1 Statistics: Textbooks and Monographs 1 Statistical Analysis and Data Mining 1 Journal of Statistical Distributions and Applications 1 Japanese Journal of Statistics and Data Science 1 Cogent Mathematics & Statistics all top 5 Fields 119 Statistics (62-XX) 14 Numerical analysis (65-XX) 10 Biology and other natural sciences (92-XX) 9 Computer science (68-XX) 4 Probability theory and stochastic processes (60-XX) 3 Approximations and expansions (41-XX) 2 General and overarching topics; collections (00-XX) 1 Linear and multilinear algebra; matrix theory (15-XX) Publications by Year all cited Publications top 5 cited Publications Citations contained in zbMATH Open 93 Publications have been cited 2,767 times in 2,160 Documents Cited by ▼ Year ▼ Finite mixture models. Zbl 0963.62061McLachlan, Geoffrey; Peel, David 1,071 2000 The EM algorithm and extensions. Zbl 0882.62012McLachlan, Geoffrey J.; Krishnan, Thriyambakam 430 1997 Mixture models: inference and applications to clustering. Zbl 0697.62050McLachlan, Geoffrey J.; Basford, Kaye E. 320 1988 The EM algorithm and extensions. 2nd ed. Zbl 1165.62019McLachlan, Geoffrey J.; Krishnan, Thriyambakam 318 2008 Discriminant analysis and statistical pattern recognition. 2nd printing. Zbl 1108.62317McLachlan, Geoffrey J. 145 2004 Modelling high-dimensional data by mixtures of factor analyzers. Zbl 1256.62036McLachlan, G. J.; Peel, D.; Bean, R. W. 85 2003 On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115Lee, Sharon X.; McLachlan, Geoffrey J. 70 2013 Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107Lee, Sharon; McLachlan, Geoffrey J. 62 2014 Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013Ambroise, Christophe; McLachlan, Geoffrey J. 49 2002 Analyzing microarray gene expression data. Zbl 1140.92010McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe 39 2004 Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros. Zbl 1152.62083Lee, Andy H.; Wang, Kui; Scott, Jane A.; Yau, Kelvin K. W.; McLachlan, Geoffrey J. 36 2006 Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models. Zbl 1420.60020Lee, Sharon X.; McLachlan, Geoffrey J. 34 2016 Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209Lee, Sharon X.; McLachlan, Geoffrey J. 29 2013 The efficiency of a linear discriminant function based on unclassified initial samples. Zbl 0389.62045Ganesalingam, S.; McLachlan, G. J. 26 1978 Extending mixtures of factor models using the restricted multivariate skew-normal distribution. Zbl 1328.62378Lin, Tsung-I; McLachlan, Geoffrey J.; Lee, Sharon X. 26 2016 Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214McLachlan, G. J.; Jones, P. N. 26 1988 High-breakdown linear discriminant analysis. Zbl 0889.62052Hawkins, Douglas M.; McLachlan, Geoffrey J. 26 1997 The classification and mixture maximum likelihood approaches to cluster analysis. Zbl 0513.62064McLachlan, G. J. 24 1982 An asymptotic unbiased technique for estimating the error rates in discriminant analysis. Zbl 0288.62027McLachlan, G. J. 18 1974 Laplace mixture of linear experts. Zbl 1468.62147Nguyen, Hien D.; McLachlan, Geoffrey J. 16 2016 A note on bias correction in maximum likelihood estimation with logistic discrimination. Zbl 0453.62046McLachlan, G. J. 15 1980 A Bayesian information criterion for singular models. With discussion and authors’ reply. Zbl 1414.62088Drton, Mathias; Plummer, Martyn 13 2017 Some efficiency results for the estimation of the mixing proportion in a mixture of two normal distributions. Zbl 0498.62049Ganesalingam, S.; McLachlan, G. J. 13 1981 Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis. Zbl 0319.62038McLachlan, G. J. 12 1975 Estimating the linear discriminant function from initial samples containing a small number of unclassified observations. Zbl 0369.62060McLachlan, Geoffrey John 12 1977 A robust factor analysis model using the restricted skew-\(t\) distribution. Zbl 1327.62344Lin, Tsung-I; Wu, Pal H.; McLachlan, Geoffrey J.; Lee, Sharon X. 11 2015 An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041McLachlan, G. J. 10 1973 The bias of the apparent error rate in discriminant analysis. Zbl 0331.62042McLachlan, G. J. 10 1976 A case study of two clustering methods based on maximum likelihood. Zbl 0404.62035Ganesalingam, S.; McLachlan, G. J. 9 1979 Confidence intervals for the conditional probability of misallocation in discriminant analysis. Zbl 0312.62046McLachlan, G. J. 9 1975 A criterion for selecting variables for the linear discriminant function. Zbl 0334.62023McLachlan, G. J. 8 1976 The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Zbl 0276.62061McLachlan, G. J. 8 1974 Estimation of the errors of misclassification on the criterion of asymptotic mean square error. Zbl 0283.62051McLachlan, G. J. 8 1974 Assessing the performance of an allocation rule. Zbl 0607.62067McLachlan, G. J. 7 1986 Further results on the effect of intraclass correlation among training samples in discriminant analysis. Zbl 0351.62041McLachlan, G. J. 7 1976 A note on the Aitkin-Rubin approach to hypothesis testing in mixture models. Zbl 0636.62043Quinn, B. G.; McLachlan, G. J.; Hjort, N. L. 7 1987 Some asymptotic results on the effect of autocorrelation on the error rates of the sample linear discriminant function. Zbl 0515.62059Lawoko, C. R. O.; McLachlan, G. J. 7 1983 Mixture models for clustering multilevel growth trajectories. Zbl 1471.62149Ng, S. K.; McLachlan, G. J. 6 2014 Approximation by finite mixtures of continuous density functions that vanish at infinity. Zbl 1486.62048Nguyen, T. Tin; Nguyen, Hien D.; Chamroukhi, Faicel; McLachlan, Geoffrey J. 6 2020 Robust mixtures of factor analysis models using the restricted multivariate skew-\(t\) distribution. Zbl 07289498Lin, Tsung-I; Wang, Wan-Lun; Mclachlan, Geoffrey J.; Lee, Sharon X. 6 2018 Updating a discriminant function on the basis of unclassified data. Zbl 0507.62063McLachlan, G. J.; Ganesalingam, S. 6 1982 On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples. Zbl 1052.65006McLachlan, G. J.; Khan, N. 6 2004 Mixtures of spatial spline regressions for clustering and classification. Zbl 1468.62148Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A. 5 2016 A universal approximation theorem for mixture-of-experts models. Zbl 1474.68266Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J. 5 2016 On the relationship between the F test and the overall error rate for variable selection in two-group discriminant analysis. Zbl 0442.62046McLachlan, G. J. 5 1980 The relationship in terms of asymptotic mean square error between the separate problems of estimating each of the three types of error rate of the linear discriminant function. Zbl 0294.62070McLachlan, G. J. 5 1974 Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models. Zbl 1490.62162Nguyen, Hien Duy; Nguyen, TrungTin; Chamroukhi, Faicel; McLachlan, Geoffrey John 5 2021 The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function. Zbl 0392.62037Byth, K.; McLachlan, G. J. 4 1978 Deep Gaussian mixture models. Zbl 1430.62143Viroli, Cinzia; McLachlan, Geoffrey J. 4 2019 A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification. Zbl 0356.62052McLachlan, G. J. 4 1977 Asymptotic relative efficiency of the linear discriminant function under partial nonrandom classification of the training data. Zbl 0842.62051McLachlan, G. J.; Scot, D. 4 1995 Error rate estimation on the basis of posterior probabilities. Zbl 0461.62052Ganesalingam, S.; McLachlan, G. J. 4 1980 A comparison of the mixture and classification approaches to cluster analysis. Zbl 0465.62053Ganesalingam, S.; McLachlan, G. J. 4 1980 Two-component Poisson mixture regression modelling of count data with bivariate random effects. Zbl 05241250Wang, Kui; Yau, Kelvin K. W.; Lee, Andy H.; McLachlan, Geoffrey J. 4 2007 On modifications to the long-term survival mixture model in the presence of competing risks. Zbl 0940.62094Ng, S. K.; McLachlan, G. J. 4 1998 Mixture modelling for cluster analysis. Zbl 1053.62076McLachlan, G. J.; Chang, S. U. 4 2004 Asymptotic error rates of the W and Z statistics when the training observations are dependent. Zbl 0623.62052Lawoko, C. R. O.; McLachlan, G. J. 3 1986 Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046Nguyen, Hien D.; McLachlan, Geoffrey J. 3 2015 Constrained sample discrimination with the Studentized classification statistic W. Zbl 0365.62052McLachlan, G. J. 3 1977 Rejoinder to the discussion of “Model-based clustering and classification with non-normal mixture distributions”. Zbl 1332.62210Lee, Sharon X.; McLachlan, Geoffrey J. 3 2013 The efficiency of Efron’s ”Bootstrap” approach applied to error rate estimation in discriminant analysis. Zbl 0442.62047McLachlan, G. J. 3 1980 Comment on “On nomenclature, and the relative merits of two formulations of skew distributions” by A. Azzalini, R. Browne, M. Genton, and P. McNicholas. Zbl 1376.60029McLachlan, Geoffrey J.; Lee, Sharon X. 3 2016 Editorial: The 2nd special issue on advances in mixture models. Zbl 1469.00037 3 2014 Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J. 3 2020 An asymptotic expansion for the variance of the errors of misclassification o f the linear discriminant function. Zbl 0241.62040McLachlan, G. J. 3 1972 Asymptotic results for discriminant analysis when the initial samples are misclassified. Zbl 0244.62046McLachlan, G. J. 3 1972 A globally convergent algorithm for Lasso-penalized mixture of linear regression models. Zbl 1469.62109Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J. 2 2018 A comparison of the estimative and predictive methods of estimating posterior probabilities. Zbl 0412.62039McLachlan, G. J. 2 1979 Parametric estimation in a genetic mixture model with application to nuclear family data. Zbl 0824.62099Shoukri, M. M.; McLachlan, G. J. 2 1994 Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018Nguyen, Hien D.; McLachlan, Geoffrey J. 2 2017 On formulations of skew factor models: skew factors and/or skew errors. Zbl 1456.62036Lee, Sharon X.; McLachlan, Geoffrey J. 2 2021 Selection bias in working with the top genes in supervised classification of tissue samples. Zbl 1248.92023Zhu, X.; Ambroise, C.; Mclachlan, G. J. 2 2006 Maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Zbl 0715.62056Jones, P. N.; McLachlan, G. J. 2 1990 On the bias and variance of some proportion estimators. Zbl 0508.62045McLachlan, G. J. 2 1982 Error rate estimation in discriminant analysis: recent advances. Zbl 0644.62066McLachlan, G. J. 2 1987 Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Zbl 07363882Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J. 2 2021 A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction. Zbl 1468.62411Tawiah, Richard; Mclachlan, Geoffrey J.; Ng, Shu Kay 2 2020 On approximations via convolution-defined mixture models. Zbl 1508.62159Nguyen, Hien D.; McLachlan, Geoffrey 2 2019 Laplace mixture autoregressive models. Zbl 1419.62240Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L. 1 2016 Partial identification in the statistical matching problem. Zbl 1466.62015Ahfock, Daniel; Pyne, Saumyadipta; Lee, Sharon X.; McLachlan, Geoffrey J. 1 2016 Maximum likelihood estimation of triangular and polygonal distributions. Zbl 1466.62167Nguyen, Hien D.; McLachlan, Geoffrey J. 1 2016 Some expected values for the error rates of the sample quadratic discriminant function. Zbl 0398.62049McLachlan, G. J. 1 1975 Expected error rates for logistic regression versus normal discriminant analysis. Zbl 0423.62045McLachlan, G. J.; Byth, K. 1 1979 Special issue on “New trends on model-based clustering and classification”. Preface by the guest editors. Zbl 1476.00069 1 2015 Maximum pseudolikelihood estimation for model-based clustering of time series data. Zbl 1418.62254Nguyen, Hien D.; McLachlan, Geoffrey J.; Orban, Pierre; Bellec, Pierre; Janke, Andrew L. 1 2017 Modelling mass-size particle data by finite mixtures. Zbl 0696.62379Jones, P. N.; McLachlan, G. J. 1 1989 Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148McLachlan, Geoffrey J.; Rathnayake, Suren I. 1 2016 Logistic regression compared to normal discrimination for non-normal populations. Zbl 0472.62069Byth, K.; McLachlan, G. J. 1 1980 Clustering via mixture regression models with random effects. Zbl 1148.62049McLachlan, Geoffrey J.; Ng, Shu Kay (Angus); Wang, Kui 1 2008 On selection biases with prediction rules formed from gene expression data. Zbl 1138.62087Zhu, J. X.; McLachlan, G. J.; Jones, L. Ben-Tovim; Wood, I. A. 1 2008 Likelihood-based approaches to pattern recognition. Zbl 0933.68121McLachlan, G. J. 1 1996 Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. Zbl 1070.68597Ng, Shu-Kay; McLachlan, Geoffrey J. 1 2004 Skew-normal generalized spatial panel data model. Zbl 1497.62253Farzammehr, Mohadeseh Alsadat; Zadkarami, Mohammad Reza; McLachlan, Geoffrey J. 1 2021 Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models. Zbl 1490.62162Nguyen, Hien Duy; Nguyen, TrungTin; Chamroukhi, Faicel; McLachlan, Geoffrey John 5 2021 On formulations of skew factor models: skew factors and/or skew errors. Zbl 1456.62036Lee, Sharon X.; McLachlan, Geoffrey J. 2 2021 Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Zbl 07363882Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J. 2 2021 Skew-normal generalized spatial panel data model. Zbl 1497.62253Farzammehr, Mohadeseh Alsadat; Zadkarami, Mohammad Reza; McLachlan, Geoffrey J. 1 2021 Approximation by finite mixtures of continuous density functions that vanish at infinity. Zbl 1486.62048Nguyen, T. Tin; Nguyen, Hien D.; Chamroukhi, Faicel; McLachlan, Geoffrey J. 6 2020 Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J. 3 2020 A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction. Zbl 1468.62411Tawiah, Richard; Mclachlan, Geoffrey J.; Ng, Shu Kay 2 2020 Deep Gaussian mixture models. Zbl 1430.62143Viroli, Cinzia; McLachlan, Geoffrey J. 4 2019 On approximations via convolution-defined mixture models. Zbl 1508.62159Nguyen, Hien D.; McLachlan, Geoffrey 2 2019 Robust mixtures of factor analysis models using the restricted multivariate skew-\(t\) distribution. Zbl 07289498Lin, Tsung-I; Wang, Wan-Lun; Mclachlan, Geoffrey J.; Lee, Sharon X. 6 2018 A globally convergent algorithm for Lasso-penalized mixture of linear regression models. Zbl 1469.62109Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J. 2 2018 A Bayesian information criterion for singular models. With discussion and authors’ reply. Zbl 1414.62088Drton, Mathias; Plummer, Martyn 13 2017 Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018Nguyen, Hien D.; McLachlan, Geoffrey J. 2 2017 Maximum pseudolikelihood estimation for model-based clustering of time series data. Zbl 1418.62254Nguyen, Hien D.; McLachlan, Geoffrey J.; Orban, Pierre; Bellec, Pierre; Janke, Andrew L. 1 2017 Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models. Zbl 1420.60020Lee, Sharon X.; McLachlan, Geoffrey J. 34 2016 Extending mixtures of factor models using the restricted multivariate skew-normal distribution. Zbl 1328.62378Lin, Tsung-I; McLachlan, Geoffrey J.; Lee, Sharon X. 26 2016 Laplace mixture of linear experts. Zbl 1468.62147Nguyen, Hien D.; McLachlan, Geoffrey J. 16 2016 Mixtures of spatial spline regressions for clustering and classification. Zbl 1468.62148Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A. 5 2016 A universal approximation theorem for mixture-of-experts models. Zbl 1474.68266Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J. 5 2016 Comment on “On nomenclature, and the relative merits of two formulations of skew distributions” by A. Azzalini, R. Browne, M. Genton, and P. McNicholas. Zbl 1376.60029McLachlan, Geoffrey J.; Lee, Sharon X. 3 2016 Laplace mixture autoregressive models. Zbl 1419.62240Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L. 1 2016 Partial identification in the statistical matching problem. Zbl 1466.62015Ahfock, Daniel; Pyne, Saumyadipta; Lee, Sharon X.; McLachlan, Geoffrey J. 1 2016 Maximum likelihood estimation of triangular and polygonal distributions. Zbl 1466.62167Nguyen, Hien D.; McLachlan, Geoffrey J. 1 2016 Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148McLachlan, Geoffrey J.; Rathnayake, Suren I. 1 2016 A robust factor analysis model using the restricted skew-\(t\) distribution. Zbl 1327.62344Lin, Tsung-I; Wu, Pal H.; McLachlan, Geoffrey J.; Lee, Sharon X. 11 2015 Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046Nguyen, Hien D.; McLachlan, Geoffrey J. 3 2015 Special issue on “New trends on model-based clustering and classification”. Preface by the guest editors. Zbl 1476.00069 1 2015 Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107Lee, Sharon; McLachlan, Geoffrey J. 62 2014 Mixture models for clustering multilevel growth trajectories. Zbl 1471.62149Ng, S. K.; McLachlan, G. J. 6 2014 Editorial: The 2nd special issue on advances in mixture models. Zbl 1469.00037 3 2014 On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115Lee, Sharon X.; McLachlan, Geoffrey J. 70 2013 Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209Lee, Sharon X.; McLachlan, Geoffrey J. 29 2013 Rejoinder to the discussion of “Model-based clustering and classification with non-normal mixture distributions”. Zbl 1332.62210Lee, Sharon X.; McLachlan, Geoffrey J. 3 2013 The EM algorithm and extensions. 2nd ed. Zbl 1165.62019McLachlan, Geoffrey J.; Krishnan, Thriyambakam 318 2008 Clustering via mixture regression models with random effects. Zbl 1148.62049McLachlan, Geoffrey J.; Ng, Shu Kay (Angus); Wang, Kui 1 2008 On selection biases with prediction rules formed from gene expression data. Zbl 1138.62087Zhu, J. X.; McLachlan, G. J.; Jones, L. Ben-Tovim; Wood, I. A. 1 2008 Two-component Poisson mixture regression modelling of count data with bivariate random effects. Zbl 05241250Wang, Kui; Yau, Kelvin K. W.; Lee, Andy H.; McLachlan, Geoffrey J. 4 2007 Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros. Zbl 1152.62083Lee, Andy H.; Wang, Kui; Scott, Jane A.; Yau, Kelvin K. W.; McLachlan, Geoffrey J. 36 2006 Selection bias in working with the top genes in supervised classification of tissue samples. Zbl 1248.92023Zhu, X.; Ambroise, C.; Mclachlan, G. J. 2 2006 Discriminant analysis and statistical pattern recognition. 2nd printing. Zbl 1108.62317McLachlan, Geoffrey J. 145 2004 Analyzing microarray gene expression data. Zbl 1140.92010McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe 39 2004 On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples. Zbl 1052.65006McLachlan, G. J.; Khan, N. 6 2004 Mixture modelling for cluster analysis. Zbl 1053.62076McLachlan, G. J.; Chang, S. U. 4 2004 Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. Zbl 1070.68597Ng, Shu-Kay; McLachlan, Geoffrey J. 1 2004 Modelling high-dimensional data by mixtures of factor analyzers. Zbl 1256.62036McLachlan, G. J.; Peel, D.; Bean, R. W. 85 2003 Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013Ambroise, Christophe; McLachlan, Geoffrey J. 49 2002 Finite mixture models. Zbl 0963.62061McLachlan, Geoffrey; Peel, David 1,071 2000 On modifications to the long-term survival mixture model in the presence of competing risks. Zbl 0940.62094Ng, S. K.; McLachlan, G. J. 4 1998 The EM algorithm and extensions. Zbl 0882.62012McLachlan, Geoffrey J.; Krishnan, Thriyambakam 430 1997 High-breakdown linear discriminant analysis. Zbl 0889.62052Hawkins, Douglas M.; McLachlan, Geoffrey J. 26 1997 Likelihood-based approaches to pattern recognition. Zbl 0933.68121McLachlan, G. J. 1 1996 Asymptotic relative efficiency of the linear discriminant function under partial nonrandom classification of the training data. Zbl 0842.62051McLachlan, G. J.; Scot, D. 4 1995 Parametric estimation in a genetic mixture model with application to nuclear family data. Zbl 0824.62099Shoukri, M. M.; McLachlan, G. J. 2 1994 Maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Zbl 0715.62056Jones, P. N.; McLachlan, G. J. 2 1990 Modelling mass-size particle data by finite mixtures. Zbl 0696.62379Jones, P. N.; McLachlan, G. J. 1 1989 Mixture models: inference and applications to clustering. Zbl 0697.62050McLachlan, Geoffrey J.; Basford, Kaye E. 320 1988 Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214McLachlan, G. J.; Jones, P. N. 26 1988 A note on the Aitkin-Rubin approach to hypothesis testing in mixture models. Zbl 0636.62043Quinn, B. G.; McLachlan, G. J.; Hjort, N. L. 7 1987 Error rate estimation in discriminant analysis: recent advances. Zbl 0644.62066McLachlan, G. J. 2 1987 Assessing the performance of an allocation rule. Zbl 0607.62067McLachlan, G. J. 7 1986 Asymptotic error rates of the W and Z statistics when the training observations are dependent. Zbl 0623.62052Lawoko, C. R. O.; McLachlan, G. J. 3 1986 Some asymptotic results on the effect of autocorrelation on the error rates of the sample linear discriminant function. Zbl 0515.62059Lawoko, C. R. O.; McLachlan, G. J. 7 1983 The classification and mixture maximum likelihood approaches to cluster analysis. Zbl 0513.62064McLachlan, G. J. 24 1982 Updating a discriminant function on the basis of unclassified data. Zbl 0507.62063McLachlan, G. J.; Ganesalingam, S. 6 1982 On the bias and variance of some proportion estimators. Zbl 0508.62045McLachlan, G. J. 2 1982 Some efficiency results for the estimation of the mixing proportion in a mixture of two normal distributions. Zbl 0498.62049Ganesalingam, S.; McLachlan, G. J. 13 1981 A note on bias correction in maximum likelihood estimation with logistic discrimination. Zbl 0453.62046McLachlan, G. J. 15 1980 On the relationship between the F test and the overall error rate for variable selection in two-group discriminant analysis. Zbl 0442.62046McLachlan, G. J. 5 1980 Error rate estimation on the basis of posterior probabilities. Zbl 0461.62052Ganesalingam, S.; McLachlan, G. J. 4 1980 A comparison of the mixture and classification approaches to cluster analysis. Zbl 0465.62053Ganesalingam, S.; McLachlan, G. J. 4 1980 The efficiency of Efron’s ”Bootstrap” approach applied to error rate estimation in discriminant analysis. Zbl 0442.62047McLachlan, G. J. 3 1980 Logistic regression compared to normal discrimination for non-normal populations. Zbl 0472.62069Byth, K.; McLachlan, G. J. 1 1980 A case study of two clustering methods based on maximum likelihood. Zbl 0404.62035Ganesalingam, S.; McLachlan, G. J. 9 1979 A comparison of the estimative and predictive methods of estimating posterior probabilities. Zbl 0412.62039McLachlan, G. J. 2 1979 Expected error rates for logistic regression versus normal discriminant analysis. Zbl 0423.62045McLachlan, G. J.; Byth, K. 1 1979 The efficiency of a linear discriminant function based on unclassified initial samples. Zbl 0389.62045Ganesalingam, S.; McLachlan, G. J. 26 1978 The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function. Zbl 0392.62037Byth, K.; McLachlan, G. J. 4 1978 Estimating the linear discriminant function from initial samples containing a small number of unclassified observations. Zbl 0369.62060McLachlan, Geoffrey John 12 1977 A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification. Zbl 0356.62052McLachlan, G. J. 4 1977 Constrained sample discrimination with the Studentized classification statistic W. Zbl 0365.62052McLachlan, G. J. 3 1977 The bias of the apparent error rate in discriminant analysis. Zbl 0331.62042McLachlan, G. J. 10 1976 A criterion for selecting variables for the linear discriminant function. Zbl 0334.62023McLachlan, G. J. 8 1976 Further results on the effect of intraclass correlation among training samples in discriminant analysis. Zbl 0351.62041McLachlan, G. J. 7 1976 Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis. Zbl 0319.62038McLachlan, G. J. 12 1975 Confidence intervals for the conditional probability of misallocation in discriminant analysis. Zbl 0312.62046McLachlan, G. J. 9 1975 Some expected values for the error rates of the sample quadratic discriminant function. Zbl 0398.62049McLachlan, G. J. 1 1975 An asymptotic unbiased technique for estimating the error rates in discriminant analysis. Zbl 0288.62027McLachlan, G. J. 18 1974 The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Zbl 0276.62061McLachlan, G. J. 8 1974 Estimation of the errors of misclassification on the criterion of asymptotic mean square error. Zbl 0283.62051McLachlan, G. J. 8 1974 The relationship in terms of asymptotic mean square error between the separate problems of estimating each of the three types of error rate of the linear discriminant function. Zbl 0294.62070McLachlan, G. J. 5 1974 An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041McLachlan, G. J. 10 1973 An asymptotic expansion for the variance of the errors of misclassification o f the linear discriminant function. Zbl 0241.62040McLachlan, G. J. 3 1972 Asymptotic results for discriminant analysis when the initial samples are misclassified. Zbl 0244.62046McLachlan, G. J. 3 1972 all cited Publications top 5 cited Publications all top 5 Cited by 3,530 Authors 43 McNicholas, Paul D. 39 McLachlan, Geoffrey John 28 Lin, Tsung I. 26 Punzo, Antonio 25 Balakrishnan, Narayanaswamy 22 Melnykov, Volodymyr 21 Viroli, Cinzia 19 Mayo-Iscar, Agustin 19 Nguyen, Hien Duy 18 García-Escudero, Luis Angel 18 Ingrassia, Salvatore 18 Yao, Weixin 17 Murphy, Thomas Brendan 17 Wang, Wan-Lun 16 Browne, Ryan P. 15 Biernacki, Christophe 15 Böhning, Dankmar 15 Bouveyron, Charles 15 Lachos Dávila, Víctor Hugo 14 Bartolucci, Francesco 14 Bouguila, Nizar 14 Lee, Sharon X. 13 Celeux, Gilles 13 Yang, Miin-Shen 12 Karlis, Dimitris 12 Zhu, Xuwen 11 Galimberti, Giuliano 11 Gordaliza, Alfonso 11 Govaert, Gérard 11 Iannario, Maria 11 Pal, Suvra 10 Al-Moisheer, A. S. 10 Greselin, Francesca 10 Rocci, Roberto 10 Soffritti, Gabriele 10 Vermunt, Jeroen K. 9 DeSarbo, Wayne S. 9 Forbes, Florence 9 Hennig, Christian 9 Latouche, Pierre 9 Maĭboroda, Rostyslav Yevgenovych 9 Montanari, Angela 9 Wang, Yong 8 Andrews, Jeffrey L. 8 Cabral, Celso Rômulo Barbosa 8 Chamroukhi, Faicel 8 Jamalizadeh, Ahad 8 Kim, Hea-Jung 8 Lee, Andy H. 8 Maleki, Mohsen 8 Piccolo, Domenico 8 Scrucca, Luca 8 Sultan, Khalaf Salman 7 Dučinskas, Kȩstutis 7 Ganjali, Mojtaba 7 Gormley, Isobel Claire 7 Hand, David J. 7 Hunter, David R. 7 Lindsay, Bruce G. 7 Moghimbeigi, Abbas 7 Molenberghs, Geert 7 Nadif, Mohamed 7 Verbeke, Geert N. 7 Yau, Kelvin K. W. 6 Arslan, Olcay 6 Bacci, Silvia 6 Badescu, Andrei L. 6 Bordes, Laurent 6 Dean, Nema 6 Lange, Kenneth L. 6 Larrañaga, Pedro 6 Leiva, Víctor 6 Marbac, Matthieu 6 Michael, Semhar 6 Nadarajah, Saralees 6 Robin, Stéphane 6 Subedi, Sanjeena 6 Wu, Liucang 6 Young, Derek Scott 5 Aknin, Patrice 5 Al-Hussaini, Essam Khalaf 5 Ambroise, Christophe 5 Anderlucci, Laura 5 Bagnato, Luca 5 Chen, Jiahua 5 Chen, Kun 5 De Boeck, Paul 5 Denœux, Thierry 5 Farcomeni, Alessio 5 Fernández, Daniel 5 Hall, Peter Gavin 5 Ho, Hsiu J. 5 Hung, Wenliang 5 Lin, X. Sheldon 5 Longford, Nicholas Tibor 5 Maitra, Ranjan 5 Maruotti, Antonello 5 Matrán, Carlos 5 Miljkovic, Tatjana 5 Mitra, Debanjan ...and 3,430 more Authors all top 5 Cited in 266 Serials 264 Computational Statistics and Data Analysis 90 Advances in Data Analysis and Classification. ADAC 82 Statistics and Computing 77 Journal of Applied Statistics 69 Journal of Statistical Computation and Simulation 65 Communications in Statistics. 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Series B 6 Applied Mathematics and Computation 6 Fuzzy Sets and Systems 6 Kybernetika 6 Statistics 6 Signal Processing 6 Australian & New Zealand Journal of Statistics 6 North American Actuarial Journal 6 Journal of Theoretical Biology 6 Bayesian Analysis 5 Journal of Time Series Analysis 5 American Journal of Mathematical and Management Sciences 5 Annals of Operations Research 5 Applied Mathematics. Series B (English Edition) 5 Lifetime Data Analysis 5 Journal of Machine Learning Research (JMLR) 5 SIAM Journal on Imaging Sciences 5 Journal of Statistical Distributions and Applications 5 Modern Stochastics. 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