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McLachlan, Geoffrey John

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Author ID: mclachlan.geoffrey-john Recent zbMATH articles by "McLachlan, Geoffrey John"
Published as: McLachlan, Geoffrey J.; McLachlan, Geoffrey; Mclachlan, Geoffrey J.; McLachlan, Geoffrey John; Mclachlan, G. J.
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 Janke, Andrew L.
3 Jones, P. N.
3 Lloyd-Jones, Luke R.
3 Pyne, Saumyadipta
2 Chamroukhi, Faicel
2 Farzammehr, Mohadeseh Alsadat
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.
2 Zadkarami, Mohammad Reza
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 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
8 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. Applied Statistics
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

Publications by Year

Citations contained in zbMATH Open

92 Publications have been cited 3,067 times in 2,103 Documents Cited by Year
Finite mixture models. Zbl 0963.62061
McLachlan, Geoffrey; Peel, David
2000
The EM algorithm and extensions. Zbl 0882.62012
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
427
1997
Mixture models: inference and applications to clustering. Zbl 0697.62050
McLachlan, Geoffrey J.; Basford, Kaye E.
312
1988
The EM algorithm and extensions. 2nd ed. Zbl 1165.62019
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
299
2008
Discriminant analysis and statistical pattern recognition. 2nd printing. Zbl 1108.62317
McLachlan, Geoffrey J.
139
2004
Modelling high-dimensional data by mixtures of factor analyzers. Zbl 1256.62036
McLachlan, G. J.; Peel, D.; Bean, R. W.
76
2003
On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115
Lee, Sharon X.; McLachlan, Geoffrey J.
66
2013
Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107
Lee, Sharon; McLachlan, Geoffrey J.
56
2014
Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013
Ambroise, Christophe; McLachlan, Geoffrey J.
49
2002
Analyzing microarray gene expression data. Zbl 1140.92010
McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe
38
2004
Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros. Zbl 1152.62083
Lee, Andy H.; Wang, Kui; Scott, Jane A.; Yau, Kelvin K. W.; McLachlan, Geoffrey J.
35
2006
Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models. Zbl 1420.60020
Lee, Sharon X.; McLachlan, Geoffrey J.
31
2016
Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209
Lee, Sharon X.; McLachlan, Geoffrey J.
27
2013
Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214
McLachlan, G. J.; Jones, P. N.
26
1988
High-breakdown linear discriminant analysis. Zbl 0889.62052
Hawkins, Douglas M.; McLachlan, Geoffrey J.
25
1997
The classification and mixture maximum likelihood approaches to cluster analysis. Zbl 0513.62064
McLachlan, G. J.
24
1982
The efficiency of a linear discriminant function based on unclassified initial samples. Zbl 0389.62045
Ganesalingam, S.; McLachlan, G. J.
24
1978
Extending mixtures of factor models using the restricted multivariate skew-normal distribution. Zbl 1328.62378
Lin, Tsung-I; McLachlan, Geoffrey J.; Lee, Sharon X.
23
2016
An asymptotic unbiased technique for estimating the error rates in discriminant analysis. Zbl 0288.62027
McLachlan, G. J.
18
1974
Laplace mixture of linear experts. Zbl 1468.62147
Nguyen, Hien D.; McLachlan, Geoffrey J.
16
2016
A note on bias correction in maximum likelihood estimation with logistic discrimination. Zbl 0453.62046
McLachlan, G. J.
15
1980
Some efficiency results for the estimation of the mixing proportion in a mixture of two normal distributions. Zbl 0498.62049
Ganesalingam, S.; McLachlan, G. J.
13
1981
A Bayesian information criterion for singular models. With discussion and authors’ reply. Zbl 1414.62088
Drton, Mathias; Plummer, Martyn
12
2017
A robust factor analysis model using the restricted skew-\(t\) distribution. Zbl 1327.62344
Lin, Tsung-I; Wu, Pal H.; McLachlan, Geoffrey J.; Lee, Sharon X.
11
2015
Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis. Zbl 0319.62038
McLachlan, G. J.
11
1975
Estimating the linear discriminant function from initial samples containing a small number of unclassified observations. Zbl 0369.62060
McLachlan, Geoffrey John
11
1977
An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041
McLachlan, G. J.
10
1973
The bias of the apparent error rate in discriminant analysis. Zbl 0331.62042
McLachlan, G. J.
10
1976
Confidence intervals for the conditional probability of misallocation in discriminant analysis. Zbl 0312.62046
McLachlan, G. J.
9
1975
A case study of two clustering methods based on maximum likelihood. Zbl 0404.62035
Ganesalingam, S.; McLachlan, G. J.
9
1979
The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Zbl 0276.62061
McLachlan, G. J.
8
1974
Estimation of the errors of misclassification on the criterion of asymptotic mean square error. Zbl 0283.62051
McLachlan, G. J.
8
1974
A criterion for selecting variables for the linear discriminant function. Zbl 0334.62023
McLachlan, G. J.
8
1976
Some asymptotic results on the effect of autocorrelation on the error rates of the sample linear discriminant function. Zbl 0515.62059
Lawoko, C. R. O.; McLachlan, G. J.
7
1983
Assessing the performance of an allocation rule. Zbl 0607.62067
McLachlan, G. J.
7
1986
A note on the Aitkin-Rubin approach to hypothesis testing in mixture models. Zbl 0636.62043
Quinn, B. G.; McLachlan, G. J.; Hjort, N. L.
7
1987
Further results on the effect of intraclass correlation among training samples in discriminant analysis. Zbl 0351.62041
McLachlan, G. J.
7
1976
On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples. Zbl 1052.65006
McLachlan, G. J.; Khan, N.
6
2004
Updating a discriminant function on the basis of unclassified data. Zbl 0507.62063
McLachlan, G. J.; Ganesalingam, S.
6
1982
Robust mixtures of factor analysis models using the restricted multivariate skew-\(t\) distribution. Zbl 07289498
Lin, Tsung-I; Wang, Wan-Lun; Mclachlan, Geoffrey J.; Lee, Sharon X.
6
2018
Mixtures of spatial spline regressions for clustering and classification. Zbl 1468.62148
Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A.
5
2016
On the relationship between the F test and the overall error rate for variable selection in two-group discriminant analysis. Zbl 0442.62046
McLachlan, 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 0294.62070
McLachlan, G. J.
5
1974
Mixture models for clustering multilevel growth trajectories. Zbl 1471.62149
Ng, S. K.; McLachlan, G. J.
5
2014
Mixture modelling for cluster analysis. Zbl 1053.62076
McLachlan, G. J.; Chang, S. U.
4
2004
On modifications to the long-term survival mixture model in the presence of competing risks. Zbl 0940.62094
Ng, S. K.; McLachlan, G. J.
4
1998
Error rate estimation on the basis of posterior probabilities. Zbl 0461.62052
Ganesalingam, S.; McLachlan, G. J.
4
1980
A comparison of the mixture and classification approaches to cluster analysis. Zbl 0465.62053
Ganesalingam, S.; McLachlan, G. J.
4
1980
Asymptotic relative efficiency of the linear discriminant function under partial nonrandom classification of the training data. Zbl 0842.62051
McLachlan, G. J.; Scot, D.
4
1995
A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification. Zbl 0356.62052
McLachlan, G. J.
4
1977
Two-component Poisson mixture regression modelling of count data with bivariate random effects. Zbl 05241250
Wang, Kui; Yau, Kelvin K. W.; Lee, Andy H.; McLachlan, Geoffrey J.
4
2007
The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function. Zbl 0392.62037
Byth, K.; McLachlan, G. J.
4
1978
Rejoinder to the discussion of “Model-based clustering and classification with non-normal mixture distributions”. Zbl 1332.62210
Lee, Sharon X.; McLachlan, Geoffrey J.
3
2013
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 1376.60029
McLachlan, Geoffrey J.; Lee, Sharon X.
3
2016
The efficiency of Efron’s ”Bootstrap” approach applied to error rate estimation in discriminant analysis. Zbl 0442.62047
McLachlan, G. J.
3
1980
Asymptotic error rates of the W and Z statistics when the training observations are dependent. Zbl 0623.62052
Lawoko, C. R. O.; McLachlan, G. J.
3
1986
Constrained sample discrimination with the Studentized classification statistic W. Zbl 0365.62052
McLachlan, G. J.
3
1977
An asymptotic expansion for the variance of the errors of misclassification o f the linear discriminant function. Zbl 0241.62040
McLachlan, G. J.
3
1972
Asymptotic results for discriminant analysis when the initial samples are misclassified. Zbl 0244.62046
McLachlan, G. J.
3
1972
Deep Gaussian mixture models. Zbl 1430.62143
Viroli, Cinzia; McLachlan, Geoffrey J.
3
2019
Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046
Nguyen, Hien D.; McLachlan, Geoffrey J.
3
2015
A universal approximation theorem for mixture-of-experts models. Zbl 1474.68266
Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J.
3
2016
Editorial: The 2nd special issue on advances in mixture models. Zbl 1469.00037
3
2014
Approximation by finite mixtures of continuous density functions that vanish at infinity. Zbl 1486.62048
Nguyen, T. Tin; Nguyen, Hien D.; Chamroukhi, Faicel; McLachlan, Geoffrey J.
3
2020
A comparison of the estimative and predictive methods of estimating posterior probabilities. Zbl 0412.62039
McLachlan, G. J.
2
1979
Parametric estimation in a genetic mixture model with application to nuclear family data. Zbl 0824.62099
Shoukri, M. M.; McLachlan, G. J.
2
1994
Maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Zbl 0715.62056
Jones, P. N.; McLachlan, G. J.
2
1990
On the bias and variance of some proportion estimators. Zbl 0508.62045
McLachlan, G. J.
2
1982
Error rate estimation in discriminant analysis: recent advances. Zbl 0644.62066
McLachlan, G. J.
2
1987
Selection bias in working with the top genes in supervised classification of tissue samples. Zbl 1248.92023
Zhu, X.; Ambroise, C.; Mclachlan, G. J.
2
2006
A globally convergent algorithm for Lasso-penalized mixture of linear regression models. Zbl 1469.62109
Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2018
Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073
Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.
2
2020
Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2017
On formulations of skew factor models: skew factors and/or skew errors. Zbl 1456.62036
Lee, Sharon X.; 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 1468.62411
Tawiah, Richard; Mclachlan, Geoffrey J.; Ng, Shu Kay
2
2020
Partial identification in the statistical matching problem. Zbl 1466.62015
Ahfock, Daniel; Pyne, Saumyadipta; Lee, Sharon X.; McLachlan, Geoffrey J.
1
2016
Maximum likelihood estimation of triangular and polygonal distributions. Zbl 1466.62167
Nguyen, Hien D.; McLachlan, Geoffrey J.
1
2016
Laplace mixture autoregressive models. Zbl 1419.62240
Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L.
1
2016
Likelihood-based approaches to pattern recognition. Zbl 0933.68121
McLachlan, G. J.
1
1996
Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. Zbl 1070.68597
Ng, Shu-Kay; McLachlan, Geoffrey J.
1
2004
Clustering via mixture regression models with random effects. Zbl 1148.62049
McLachlan, Geoffrey J.; Ng, Shu Kay (Angus); Wang, Kui
1
2008
Expected error rates for logistic regression versus normal discriminant analysis. Zbl 0423.62045
McLachlan, G. J.; Byth, K.
1
1979
Some expected values for the error rates of the sample quadratic discriminant function. Zbl 0398.62049
McLachlan, G. J.
1
1975
Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148
McLachlan, Geoffrey J.; Rathnayake, Suren I.
1
2016
On selection biases with prediction rules formed from gene expression data. Zbl 1138.62087
Zhu, J. X.; McLachlan, G. J.; Jones, L. Ben-Tovim; Wood, I. A.
1
2008
Logistic regression compared to normal discrimination for non-normal populations. Zbl 0472.62069
Byth, K.; McLachlan, G. J.
1
1980
Modelling mass-size particle data by finite mixtures. Zbl 0696.62379
Jones, P. N.; McLachlan, G. J.
1
1989
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 1418.62254
Nguyen, Hien D.; McLachlan, Geoffrey J.; Orban, Pierre; Bellec, Pierre; Janke, Andrew L.
1
2017
Randomized mixture models for probability density approximation and estimation. Zbl 1450.62124
Nguyen, Hien D.; Wang, Dianhui; McLachlan, Geoffrey J.
1
2018
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Zbl 07363882
Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J.
1
2021
On approximations via convolution-defined mixture models. Zbl 07528138
Nguyen, Hien D.; McLachlan, Geoffrey
1
2019
On formulations of skew factor models: skew factors and/or skew errors. Zbl 1456.62036
Lee, Sharon X.; McLachlan, Geoffrey J.
2
2021
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Zbl 07363882
Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J.
1
2021
Approximation by finite mixtures of continuous density functions that vanish at infinity. Zbl 1486.62048
Nguyen, T. Tin; Nguyen, Hien D.; Chamroukhi, Faicel; McLachlan, Geoffrey J.
3
2020
Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073
Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.
2
2020
A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction. Zbl 1468.62411
Tawiah, Richard; Mclachlan, Geoffrey J.; Ng, Shu Kay
2
2020
Deep Gaussian mixture models. Zbl 1430.62143
Viroli, Cinzia; McLachlan, Geoffrey J.
3
2019
On approximations via convolution-defined mixture models. Zbl 07528138
Nguyen, Hien D.; McLachlan, Geoffrey
1
2019
Robust mixtures of factor analysis models using the restricted multivariate skew-\(t\) distribution. Zbl 07289498
Lin, 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 1469.62109
Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2018
Randomized mixture models for probability density approximation and estimation. Zbl 1450.62124
Nguyen, Hien D.; Wang, Dianhui; McLachlan, Geoffrey J.
1
2018
A Bayesian information criterion for singular models. With discussion and authors’ reply. Zbl 1414.62088
Drton, Mathias; Plummer, Martyn
12
2017
Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2017
Maximum pseudolikelihood estimation for model-based clustering of time series data. Zbl 1418.62254
Nguyen, 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 1420.60020
Lee, Sharon X.; McLachlan, Geoffrey J.
31
2016
Extending mixtures of factor models using the restricted multivariate skew-normal distribution. Zbl 1328.62378
Lin, Tsung-I; McLachlan, Geoffrey J.; Lee, Sharon X.
23
2016
Laplace mixture of linear experts. Zbl 1468.62147
Nguyen, Hien D.; McLachlan, Geoffrey J.
16
2016
Mixtures of spatial spline regressions for clustering and classification. Zbl 1468.62148
Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A.
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 1376.60029
McLachlan, Geoffrey J.; Lee, Sharon X.
3
2016
A universal approximation theorem for mixture-of-experts models. Zbl 1474.68266
Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J.
3
2016
Partial identification in the statistical matching problem. Zbl 1466.62015
Ahfock, Daniel; Pyne, Saumyadipta; Lee, Sharon X.; McLachlan, Geoffrey J.
1
2016
Maximum likelihood estimation of triangular and polygonal distributions. Zbl 1466.62167
Nguyen, Hien D.; McLachlan, Geoffrey J.
1
2016
Laplace mixture autoregressive models. Zbl 1419.62240
Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L.
1
2016
Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148
McLachlan, Geoffrey J.; Rathnayake, Suren I.
1
2016
A robust factor analysis model using the restricted skew-\(t\) distribution. Zbl 1327.62344
Lin, Tsung-I; Wu, Pal H.; McLachlan, Geoffrey J.; Lee, Sharon X.
11
2015
Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046
Nguyen, 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 1325.62107
Lee, Sharon; McLachlan, Geoffrey J.
56
2014
Mixture models for clustering multilevel growth trajectories. Zbl 1471.62149
Ng, S. K.; McLachlan, G. J.
5
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 1273.62115
Lee, Sharon X.; McLachlan, Geoffrey J.
66
2013
Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209
Lee, Sharon X.; McLachlan, Geoffrey J.
27
2013
Rejoinder to the discussion of “Model-based clustering and classification with non-normal mixture distributions”. Zbl 1332.62210
Lee, Sharon X.; McLachlan, Geoffrey J.
3
2013
The EM algorithm and extensions. 2nd ed. Zbl 1165.62019
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
299
2008
Clustering via mixture regression models with random effects. Zbl 1148.62049
McLachlan, Geoffrey J.; Ng, Shu Kay (Angus); Wang, Kui
1
2008
On selection biases with prediction rules formed from gene expression data. Zbl 1138.62087
Zhu, 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 05241250
Wang, 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 1152.62083
Lee, Andy H.; Wang, Kui; Scott, Jane A.; Yau, Kelvin K. W.; McLachlan, Geoffrey J.
35
2006
Selection bias in working with the top genes in supervised classification of tissue samples. Zbl 1248.92023
Zhu, X.; Ambroise, C.; Mclachlan, G. J.
2
2006
Discriminant analysis and statistical pattern recognition. 2nd printing. Zbl 1108.62317
McLachlan, Geoffrey J.
139
2004
Analyzing microarray gene expression data. Zbl 1140.92010
McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe
38
2004
On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples. Zbl 1052.65006
McLachlan, G. J.; Khan, N.
6
2004
Mixture modelling for cluster analysis. Zbl 1053.62076
McLachlan, G. J.; Chang, S. U.
4
2004
Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images. Zbl 1070.68597
Ng, Shu-Kay; McLachlan, Geoffrey J.
1
2004
Modelling high-dimensional data by mixtures of factor analyzers. Zbl 1256.62036
McLachlan, G. J.; Peel, D.; Bean, R. W.
76
2003
Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013
Ambroise, Christophe; McLachlan, Geoffrey J.
49
2002
Finite mixture models. Zbl 0963.62061
McLachlan, Geoffrey; Peel, David
2000
On modifications to the long-term survival mixture model in the presence of competing risks. Zbl 0940.62094
Ng, S. K.; McLachlan, G. J.
4
1998
The EM algorithm and extensions. Zbl 0882.62012
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
427
1997
High-breakdown linear discriminant analysis. Zbl 0889.62052
Hawkins, Douglas M.; McLachlan, Geoffrey J.
25
1997
Likelihood-based approaches to pattern recognition. Zbl 0933.68121
McLachlan, G. J.
1
1996
Asymptotic relative efficiency of the linear discriminant function under partial nonrandom classification of the training data. Zbl 0842.62051
McLachlan, G. J.; Scot, D.
4
1995
Parametric estimation in a genetic mixture model with application to nuclear family data. Zbl 0824.62099
Shoukri, M. M.; McLachlan, G. J.
2
1994
Maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Zbl 0715.62056
Jones, P. N.; McLachlan, G. J.
2
1990
Modelling mass-size particle data by finite mixtures. Zbl 0696.62379
Jones, P. N.; McLachlan, G. J.
1
1989
Mixture models: inference and applications to clustering. Zbl 0697.62050
McLachlan, Geoffrey J.; Basford, Kaye E.
312
1988
Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214
McLachlan, G. J.; Jones, P. N.
26
1988
A note on the Aitkin-Rubin approach to hypothesis testing in mixture models. Zbl 0636.62043
Quinn, B. G.; McLachlan, G. J.; Hjort, N. L.
7
1987
Error rate estimation in discriminant analysis: recent advances. Zbl 0644.62066
McLachlan, G. J.
2
1987
Assessing the performance of an allocation rule. Zbl 0607.62067
McLachlan, G. J.
7
1986
Asymptotic error rates of the W and Z statistics when the training observations are dependent. Zbl 0623.62052
Lawoko, 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 0515.62059
Lawoko, C. R. O.; McLachlan, G. J.
7
1983
The classification and mixture maximum likelihood approaches to cluster analysis. Zbl 0513.62064
McLachlan, G. J.
24
1982
Updating a discriminant function on the basis of unclassified data. Zbl 0507.62063
McLachlan, G. J.; Ganesalingam, S.
6
1982
On the bias and variance of some proportion estimators. Zbl 0508.62045
McLachlan, G. J.
2
1982
Some efficiency results for the estimation of the mixing proportion in a mixture of two normal distributions. Zbl 0498.62049
Ganesalingam, S.; McLachlan, G. J.
13
1981
A note on bias correction in maximum likelihood estimation with logistic discrimination. Zbl 0453.62046
McLachlan, 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 0442.62046
McLachlan, G. J.
5
1980
Error rate estimation on the basis of posterior probabilities. Zbl 0461.62052
Ganesalingam, S.; McLachlan, G. J.
4
1980
A comparison of the mixture and classification approaches to cluster analysis. Zbl 0465.62053
Ganesalingam, S.; McLachlan, G. J.
4
1980
The efficiency of Efron’s ”Bootstrap” approach applied to error rate estimation in discriminant analysis. Zbl 0442.62047
McLachlan, G. J.
3
1980
Logistic regression compared to normal discrimination for non-normal populations. Zbl 0472.62069
Byth, K.; McLachlan, G. J.
1
1980
A case study of two clustering methods based on maximum likelihood. Zbl 0404.62035
Ganesalingam, S.; McLachlan, G. J.
9
1979
A comparison of the estimative and predictive methods of estimating posterior probabilities. Zbl 0412.62039
McLachlan, G. J.
2
1979
Expected error rates for logistic regression versus normal discriminant analysis. Zbl 0423.62045
McLachlan, G. J.; Byth, K.
1
1979
The efficiency of a linear discriminant function based on unclassified initial samples. Zbl 0389.62045
Ganesalingam, S.; McLachlan, G. J.
24
1978
The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function. Zbl 0392.62037
Byth, K.; McLachlan, G. J.
4
1978
Estimating the linear discriminant function from initial samples containing a small number of unclassified observations. Zbl 0369.62060
McLachlan, Geoffrey John
11
1977
A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification. Zbl 0356.62052
McLachlan, G. J.
4
1977
Constrained sample discrimination with the Studentized classification statistic W. Zbl 0365.62052
McLachlan, G. J.
3
1977
The bias of the apparent error rate in discriminant analysis. Zbl 0331.62042
McLachlan, G. J.
10
1976
A criterion for selecting variables for the linear discriminant function. Zbl 0334.62023
McLachlan, G. J.
8
1976
Further results on the effect of intraclass correlation among training samples in discriminant analysis. Zbl 0351.62041
McLachlan, G. J.
7
1976
Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis. Zbl 0319.62038
McLachlan, G. J.
11
1975
Confidence intervals for the conditional probability of misallocation in discriminant analysis. Zbl 0312.62046
McLachlan, G. J.
9
1975
Some expected values for the error rates of the sample quadratic discriminant function. Zbl 0398.62049
McLachlan, G. J.
1
1975
An asymptotic unbiased technique for estimating the error rates in discriminant analysis. Zbl 0288.62027
McLachlan, G. J.
18
1974
The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Zbl 0276.62061
McLachlan, G. J.
8
1974
Estimation of the errors of misclassification on the criterion of asymptotic mean square error. Zbl 0283.62051
McLachlan, 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 0294.62070
McLachlan, G. J.
5
1974
An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041
McLachlan, G. J.
10
1973
An asymptotic expansion for the variance of the errors of misclassification o f the linear discriminant function. Zbl 0241.62040
McLachlan, G. J.
3
1972
Asymptotic results for discriminant analysis when the initial samples are misclassified. Zbl 0244.62046
McLachlan, G. J.
3
1972
all top 5

Cited by 3,414 Authors

43 McNicholas, Paul D.
38 McLachlan, Geoffrey John
26 Lin, Tsung I.
26 Punzo, Antonio
24 Balakrishnan, Narayanaswamy
22 Melnykov, Volodymyr
21 Viroli, Cinzia
19 Mayo-Iscar, Agustin
18 García-Escudero, Luis Angel
18 Ingrassia, Salvatore
18 Yao, Weixin
17 Murphy, Thomas Brendan
16 Browne, Ryan P.
16 Nguyen, Hien Duy
15 Biernacki, Christophe
15 Böhning, Dankmar
15 Bouveyron, Charles
15 Wang, Wan-Lun
14 Bartolucci, Francesco
14 Bouguila, Nizar
14 Lee, Sharon X.
13 Celeux, Gilles
13 Yang, Miin-Shen
12 Karlis, Dimitris
12 Lachos Dávila, Víctor Hugo
12 Zhu, Xuwen
11 Galimberti, Giuliano
11 Gordaliza, Alfonso
11 Govaert, Gérard
11 Iannario, Maria
10 Al-Moisheer, A. S.
10 Greselin, Francesca
10 Pal, Suvra
10 Rocci, Roberto
10 Soffritti, Gabriele
10 Vermunt, Jeroen K.
9 DeSarbo, Wayne S.
9 Hennig, Christian
9 Latouche, Pierre
9 Maĭboroda, Rostyslav Yevgenovych
9 Montanari, Angela
8 Cabral, Celso Rômulo Barbosa
8 Kim, Hea-Jung
8 Lee, Andy H.
8 Maleki, Mohsen
8 Piccolo, Domenico
8 Scrucca, Luca
8 Sultan, Khalaf Salman
7 Andrews, Jeffrey L.
7 Chamroukhi, Faicel
7 Forbes, Florence
7 Ganjali, Mojtaba
7 Gormley, Isobel Claire
7 Hand, David J.
7 Hunter, David R.
7 Jamalizadeh, Ahad
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 Bordes, Laurent
6 Dean, Nema
6 Dučinskas, Kȩstutis
6 Lange, Kenneth L.
6 Larrañaga, Pedro
6 Leiva, Víctor
6 Marbac, Matthieu
6 Michael, Semhar
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 Badescu, Andrei L.
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 Longford, Nicholas Tibor
5 Maitra, Ranjan
5 Maruotti, Antonello
5 Matrán, Carlos
5 Miljkovic, Tatjana
5 Mitra, Debanjan
5 Nadarajah, Saralees
5 Pledger, Shirley
5 Quintana, Fernando Andrés
...and 3,314 more Authors
all top 5

Cited in 261 Serials

264 Computational Statistics and Data Analysis
86 Advances in Data Analysis and Classification. ADAC
79 Statistics and Computing
77 Journal of Applied Statistics
65 Journal of Statistical Computation and Simulation
61 Computational Statistics
60 Communications in Statistics. Simulation and Computation
59 Communications in Statistics. Theory and Methods
51 Biometrics
51 Pattern Recognition
50 Journal of Classification
44 Journal of Multivariate Analysis
42 Psychometrika
41 The Annals of Applied Statistics
40 Journal of Statistical Planning and Inference
31 Electronic Journal of Statistics
29 The Annals of Statistics
28 Statistics & Probability Letters
24 Statistical Methods and Applications
21 Statistical Science
21 Statistical Papers
20 Annals of the Institute of Statistical Mathematics
20 Statistical Modelling
18 Scandinavian Journal of Statistics
17 The Canadian Journal of Statistics
16 Journal of the American Statistical Association
15 Journal of the Royal Statistical Society. Series B. Statistical Methodology
13 Journal of Econometrics
13 European Journal of Operational Research
13 Bernoulli
12 Machine Learning
11 Metrika
11 International Journal of Approximate Reasoning
11 Neural Networks
11 Neural Computation
11 Test
11 Journal of the Korean Statistical Society
11 AStA. Advances in Statistical Analysis
11 Journal of Agricultural, Biological, and Environmental Statistics
10 Automatica
10 Journal of Computational and Applied Mathematics
10 Statistical Methodology
9 Information Sciences
9 Metron
9 Journal of Mathematical Imaging and Vision
9 Journal of the Royal Statistical Society. Series C. Applied Statistics
9 Methodology and Computing in Applied Probability
9 Statistical Analysis and Data Mining
8 Biometrical Journal
8 Journal of Mathematical Psychology
8 Mathematical and Computer Modelling
8 Mathematical Problems in Engineering
8 Data Mining and Knowledge Discovery
8 Brazilian Journal of Probability and Statistics
7 Journal of Computational Physics
7 Mathematical Biosciences
7 Insurance Mathematics & Economics
7 Theory of Probability and Mathematical Statistics
7 Journal of Nonparametric Statistics
7 PAA. Pattern Analysis and Applications
7 ASTIN Bulletin
7 Statistical Applications in Genetics and Molecular Biology
7 Journal of Statistical Theory and Practice
7 Journal of Computational and Graphical Statistics
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 Sankhyā. Series B
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 North American Actuarial Journal
5 Journal of Statistical Distributions and Applications
5 Modern Stochastics. Theory and Applications
4 Physica A
4 Econometric Reviews
4 Journal of Global Optimization
4 European Series in Applied and Industrial Mathematics (ESAIM): Probability and Statistics
4 The Econometrics Journal
4 Applied Stochastic Models in Business and Industry
4 Journal of Machine Learning Research (JMLR)
4 Computational & Mathematical Methods in Medicine
3 Lithuanian Mathematical Journal
3 British Journal of Mathematical & Statistical Psychology
3 International Statistical Review
3 Statistica Neerlandica
3 Circuits, Systems, and Signal Processing
3 Stochastic Analysis and Applications
3 Multidimensional Systems and Signal Processing
3 Numerical Algorithms
3 Games and Economic Behavior
3 Applied Mathematical Modelling
3 Annales de l’Institut Henri Poincaré. Probabilités et Statistiques
...and 161 more Serials
all top 5

Cited in 39 Fields

1,850 Statistics (62-XX)
368 Numerical analysis (65-XX)
217 Computer science (68-XX)
125 Biology and other natural sciences (92-XX)
115 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
110 Probability theory and stochastic processes (60-XX)
70 Operations research, mathematical programming (90-XX)
39 Information and communication theory, circuits (94-XX)
24 Systems theory; control (93-XX)
17 Combinatorics (05-XX)
9 Linear and multilinear algebra; matrix theory (15-XX)
9 Calculus of variations and optimal control; optimization (49-XX)
8 Geophysics (86-XX)
5 General and overarching topics; collections (00-XX)
5 Statistical mechanics, structure of matter (82-XX)
4 Harmonic analysis on Euclidean spaces (42-XX)
3 Ordinary differential equations (34-XX)
3 Dynamical systems and ergodic theory (37-XX)
3 Approximations and expansions (41-XX)
3 Mathematics education (97-XX)
2 History and biography (01-XX)
2 Algebraic geometry (14-XX)
2 Special functions (33-XX)
2 Integral transforms, operational calculus (44-XX)
2 Functional analysis (46-XX)
2 Differential geometry (53-XX)
2 Mechanics of deformable solids (74-XX)
2 Fluid mechanics (76-XX)
2 Astronomy and astrophysics (85-XX)
1 Mathematical logic and foundations (03-XX)
1 Number theory (11-XX)
1 Commutative algebra (13-XX)
1 Associative rings and algebras (16-XX)
1 Partial differential equations (35-XX)
1 Operator theory (47-XX)
1 Convex and discrete geometry (52-XX)
1 General topology (54-XX)
1 Mechanics of particles and systems (70-XX)
1 Classical thermodynamics, heat transfer (80-XX)

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