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McLachlan, Geoffrey John

Author ID: mclachlan.geoffrey-john Recent zbMATH articles by "McLachlan, Geoffrey John"
Published as: McLachlan, Geoffrey J.; McLachlan, G. J.; McLachlan, Geoffrey; Mclachlan, Geoffrey J.; McLachlan, Geoffrey John; McLachlan, Geoff; McLachlan, Geoff J.; Mclachlan, G. J.
Homepage: https://researchers.uq.edu.au/researcher/660
External Links: MGP · ORCID · Wikidata · Google Scholar · ResearchGate · dblp · GND · IdRef
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Co-Authors

30 single-authored
25 Nguyen, Hien Duy
16 Lee, Sharon X.
11 Ng, Shu-Kay
7 Ganesalingam, Selvanayagam
5 Ahfock, Daniel C.
4 Janke, Andrew L.
4 Lawoko, Charles Richard Ogiki
4 Lee, Andy H.
4 Lin, Tsung I.
4 Wang, Kui
4 Yau, Kelvin K. W.
3 Ambroise, Christophe
3 Bean, Richard Winston
3 Byth, Karen
3 Chamroukhi, Faicel
3 Farzammehr, Mohadeseh Alsadat
3 Jones, P. N.
3 Lloyd-Jones, Luke R.
3 Nguyen, TrungTin
3 Pyne, Saumyadipta
3 Ullmann, Jeremy F. P.
3 Zadkarami, Mohammad Reza
2 Basford, Kaye Enid
2 Huang, Tian-Hsiang
2 Jones, L. Ben-Tovim
2 Krishnan, Thriyambakam
2 McLaren, Christine E.
2 Nikulin, Vladimir
2 Peel, David A.
2 Rathnayake, Suren I.
2 Wood, Ian A.
2 Zhu, Xi
1 Aoshima, Makoto
1 Bellec, Pierre C.
1 Bhansali, Rajendra J.
1 Böhning, Dankmar
1 Cadez, Igor V.
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 Fryer, Daniel
1 Govaert, Gérard
1 Hawkins, Douglas M.
1 Hayaka, Takesi
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 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.
1 Rousseau, Judith
1 Scot, D.
1 Scott, Jane A.
1 Shimizu, Kunio
1 Smyth, Padhraic
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
...and 8 more Co-Authors
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Serials

12 Computational Statistics and Data Analysis
10 Communications in Statistics. Theory and Methods
9 Biometrics
6 Pattern Recognition
6 Statistics and Computing
5 The Australian Journal of Statistics
5 Technometrics
5 Statistics & Probability Letters
5 Communications in Statistics. Simulation and Computation
4 Biometrical Journal
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
3 Wiley Series in Probability and Mathematical Statistics
2 Statistica Neerlandica
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
1 Bulletin of the Australian Mathematical Society
1 INFOR
1 Information Sciences
1 Journal of Statistical Planning and Inference
1 Statistica
1 Journal of the Royal Statistical Society. Series C
1 Mathematical and Computer Modelling
1 Machine Learning
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 Journal of the Korean Statistical Society
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

102 Publications have been cited 3,885 times in 2,767 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
494
1997
The EM algorithm and extensions. 2nd ed. Zbl 1165.62019
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
371
2008
Mixture models: inference and applications to clustering. Zbl 0697.62050
McLachlan, Geoffrey J.; Basford, Kaye E.
360
1988
Discriminant analysis and statistical pattern recognition. 2nd printing. Zbl 1108.62317
McLachlan, Geoffrey J.
157
2004
Discriminant analysis and statistical pattern recognition. Zbl 0850.62481
McLachlan, Geoffrey J.
116
1992
Modelling high-dimensional data by mixtures of factor analyzers. Zbl 1256.62036
McLachlan, G. J.; Peel, D.; Bean, R. W.
89
2003
On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115
Lee, Sharon X.; McLachlan, Geoffrey J.
81
2013
Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107
Lee, Sharon; McLachlan, Geoffrey J.
67
2014
Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution. Zbl 1445.62053
McLachlan, G. J.; Bean, R. W.; Jones, L. Ben-Tovim
66
2007
Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013
Ambroise, Christophe; McLachlan, Geoffrey J.
50
2002
Analyzing microarray gene expression data. Zbl 1140.92010
McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe
42
2004
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.
40
2016
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.
39
2006
Extending mixtures of factor models using the restricted multivariate skew-normal distribution. Zbl 1328.62378
Lin, Tsung-I; McLachlan, Geoffrey J.; Lee, Sharon X.
37
2016
Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209
Lee, Sharon X.; McLachlan, Geoffrey J.
33
2013
The classification and mixture maximum likelihood approaches to cluster analysis. Zbl 0513.62064
McLachlan, G. J.
30
1982
Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214
McLachlan, G. J.; Jones, P. N.
28
1988
High-breakdown linear discriminant analysis. Zbl 0889.62052
Hawkins, Douglas M.; McLachlan, Geoffrey J.
27
1997
The efficiency of a linear discriminant function based on unclassified initial samples. Zbl 0389.62045
Ganesalingam, S.; McLachlan, G. J.
25
1978
An asymptotic unbiased technique for estimating the error rates in discriminant analysis. Zbl 0288.62027
McLachlan, G. J.
19
1974
A Bayesian information criterion for singular models. With discussion and authors’ reply. Zbl 1414.62088
Drton, Mathias; Plummer, Martyn
19
2017
Laplace mixture of linear experts. Zbl 1468.62147
Nguyen, Hien D.; McLachlan, Geoffrey J.
18
2016
A note on bias correction in maximum likelihood estimation with logistic discrimination. Zbl 0453.62046
McLachlan, G. J.
15
1980
Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis. Zbl 0319.62038
McLachlan, G. J.
14
1975
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.
14
2018
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.
13
2015
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
Maximum likelihood estimation of mixture densities for binned and truncated multivariate data. Zbl 1012.68057
Cadez, Igor V.; Smyth, Padhraic; McLachlan, Geoff J.; McLaren, Christine E.
12
2002
The bias of the apparent error rate in discriminant analysis. Zbl 0331.62042
McLachlan, G. J.
11
1976
Estimating the linear discriminant function from initial samples containing a small number of unclassified observations. Zbl 0369.62060
McLachlan, Geoffrey John
11
1977
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.
11
2020
Confidence intervals for the conditional probability of misallocation in discriminant analysis. Zbl 0312.62046
McLachlan, G. J.
10
1975
An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041
McLachlan, G. J.
10
1973
A case study of two clustering methods based on maximum likelihood. Zbl 0404.62035
Ganesalingam, S.; McLachlan, G. J.
9
1979
Assessing the performance of an allocation rule. Zbl 0607.62067
McLachlan, G. J.
9
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.
9
1987
The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Zbl 0276.62061
McLachlan, G. J.
9
1974
A criterion for selecting variables for the linear discriminant function. Zbl 0334.62023
McLachlan, G. J.
8
1976
Mixture models for clustering multilevel growth trajectories. Zbl 1471.62149
Ng, S. K.; McLachlan, G. J.
8
2014
Estimation of the errors of misclassification on the criterion of asymptotic mean square error. Zbl 0283.62051
McLachlan, G. J.
8
1974
Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046
Nguyen, Hien D.; McLachlan, Geoffrey J.
8
2015
Further results on the effect of intraclass correlation among training samples in discriminant analysis. Zbl 0351.62041
McLachlan, G. J.
7
1976
On approximations via convolution-defined mixture models. Zbl 1508.62159
Nguyen, Hien D.; McLachlan, Geoffrey
7
2019
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models. Zbl 1490.62162
Nguyen, Hien Duy; Nguyen, TrungTin; Chamroukhi, Faicel; McLachlan, Geoffrey John
7
2021
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.
7
2004
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
Updating a discriminant function on the basis of unclassified data. Zbl 0507.62063
McLachlan, G. J.; Ganesalingam, S.
6
1982
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.
6
1974
Deep Gaussian mixture models. Zbl 1430.62143
Viroli, Cinzia; McLachlan, Geoffrey J.
6
2019
Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073
Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.
6
2020
A universal approximation theorem for mixture-of-experts models. Zbl 1474.68266
Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J.
6
2016
Mixture modelling for cluster analysis. Zbl 1053.62076
McLachlan, G. J.; Chang, S. U.
5
2004
The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function. Zbl 0392.62037
Byth, K.; McLachlan, G. J.
5
1978
Mixtures of spatial spline regressions for clustering and classification. Zbl 1468.62148
Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A.
5
2016
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.
5
2018
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
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
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
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
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
Editorial: The 2nd special issue on advances in mixture models. Zbl 1469.00037
4
2014
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 results for discriminant analysis when the initial samples are misclassified. Zbl 0244.62046
McLachlan, G. J.
4
1972
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Zbl 07363882
Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J.
4
2021
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
Constrained sample discrimination with the Studentized classification statistic W. Zbl 0365.62052
McLachlan, G. J.
3
1977
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
Error rate estimation in discriminant analysis: recent advances. Zbl 0644.62066
McLachlan, G. J.
3
1987
The efficiency of Efron’s ”Bootstrap” approach applied to error rate estimation in discriminant analysis. Zbl 0442.62047
McLachlan, G. J.
3
1980
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
An overview of skew distributions in model-based clustering. Zbl 1493.62389
Lee, Sharon X.; McLachlan, Geoffrey J.
3
2022
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
3
2020
On formulations of skew factor models: skew factors and/or skew errors. Zbl 1456.62036
Lee, Sharon X.; McLachlan, Geoffrey J.
3
2021
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.
3
2017
A comparison of the estimative and predictive methods of estimating posterior probabilities. Zbl 0412.62039
McLachlan, G. J.
2
1979
Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2017
Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148
McLachlan, Geoffrey J.; Rathnayake, Suren I.
2
2016
Maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Zbl 0715.62056
Jones, P. N.; McLachlan, G. J.
2
1990
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
Parametric estimation in a genetic mixture model with application to nuclear family data. Zbl 0824.62099
Shoukri, M. M.; McLachlan, G. J.
2
1994
Logistic regression compared to normal discrimination for non-normal populations. Zbl 0472.62069
Byth, K.; McLachlan, G. J.
2
1980
On the bias and variance of some proportion estimators. Zbl 0508.62045
McLachlan, G. J.
2
1982
Randomized mixture models for probability density approximation and estimation. Zbl 1450.62124
Nguyen, Hien D.; Wang, Dianhui; McLachlan, Geoffrey J.
2
2018
Maternity length of stay modelling by gamma mixture regression with random effects. Zbl 1442.62477
Lee, Andy H.; Wang, Kui; Yau, Kelvin K. W.; McLachlan, Geoffrey J.; Ng, Shu Kay
2
2007
Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces. Zbl 07710581
Nguyen, TrungTin; Chamroukhi, Faicel; Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2023
Spatial clustering of time series via mixture of autoregressions models and Markov random fields. Zbl 1528.62047
Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L.
2
2016
Laplace mixture autoregressive models. Zbl 1419.62240
Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L.
1
2016
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
Likelihood-based approaches to pattern recognition. Zbl 0933.68121
McLachlan, G. J.
1
1996
Some expected values for the error rates of the sample quadratic discriminant function. Zbl 0398.62049
McLachlan, G. J.
1
1975
Expected error rates for logistic regression versus normal discriminant analysis. Zbl 0423.62045
McLachlan, G. J.; Byth, K.
1
1979
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
Modelling mass-size particle data by finite mixtures. Zbl 0696.62379
Jones, P. N.; McLachlan, G. J.
1
1989
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
Skew-normal generalized spatial panel data model. Zbl 1497.62253
Farzammehr, Mohadeseh Alsadat; Zadkarami, Mohammad Reza; McLachlan, Geoffrey J.
1
2021
Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces. Zbl 07710581
Nguyen, TrungTin; Chamroukhi, Faicel; Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2023
An overview of skew distributions in model-based clustering. Zbl 1493.62389
Lee, Sharon X.; McLachlan, Geoffrey J.
3
2022
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models. Zbl 1490.62162
Nguyen, Hien Duy; Nguyen, TrungTin; Chamroukhi, Faicel; McLachlan, Geoffrey John
7
2021
Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions. Zbl 07363882
Lee, Sharon X.; Lin, Tsung-I.; McLachlan, Geoffrey J.
4
2021
On formulations of skew factor models: skew factors and/or skew errors. Zbl 1456.62036
Lee, Sharon X.; McLachlan, Geoffrey J.
3
2021
Skew-normal generalized spatial panel data model. Zbl 1497.62253
Farzammehr, Mohadeseh Alsadat; Zadkarami, Mohammad Reza; 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.
11
2020
Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073
Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.
6
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
3
2020
An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified. Zbl 1452.62429
Ahfock, Daniel; McLachlan, Geoffrey J.
1
2020
On approximations via convolution-defined mixture models. Zbl 1508.62159
Nguyen, Hien D.; McLachlan, Geoffrey
7
2019
Deep Gaussian mixture models. Zbl 1430.62143
Viroli, Cinzia; McLachlan, Geoffrey J.
6
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.
14
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.
5
2018
Randomized mixture models for probability density approximation and estimation. Zbl 1450.62124
Nguyen, Hien D.; Wang, Dianhui; McLachlan, Geoffrey J.
2
2018
A Bayesian information criterion for singular models. With discussion and authors’ reply. Zbl 1414.62088
Drton, Mathias; Plummer, Martyn
19
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.
3
2017
Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
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.
40
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.
37
2016
Laplace mixture of linear experts. Zbl 1468.62147
Nguyen, Hien D.; McLachlan, Geoffrey J.
18
2016
A universal approximation theorem for mixture-of-experts models. Zbl 1474.68266
Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J.
6
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
Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148
McLachlan, Geoffrey J.; Rathnayake, Suren I.
2
2016
Spatial clustering of time series via mixture of autoregressions models and Markov random fields. Zbl 1528.62047
Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L.
2
2016
Laplace mixture autoregressive models. Zbl 1419.62240
Nguyen, Hien D.; McLachlan, Geoffrey J.; Ullmann, Jeremy F. P.; Janke, Andrew L.
1
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
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.
13
2015
Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046
Nguyen, Hien D.; McLachlan, Geoffrey J.
8
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.
67
2014
Mixture models for clustering multilevel growth trajectories. Zbl 1471.62149
Ng, S. K.; McLachlan, G. J.
8
2014
Editorial: The 2nd special issue on advances in mixture models. Zbl 1469.00037
4
2014
On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115
Lee, Sharon X.; McLachlan, Geoffrey J.
81
2013
Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209
Lee, Sharon X.; McLachlan, Geoffrey J.
33
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
371
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
Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution. Zbl 1445.62053
McLachlan, G. J.; Bean, R. W.; Jones, L. Ben-Tovim
66
2007
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
Maternity length of stay modelling by gamma mixture regression with random effects. Zbl 1442.62477
Lee, Andy H.; Wang, Kui; Yau, Kelvin K. W.; McLachlan, Geoffrey J.; Ng, Shu Kay
2
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.
39
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.
157
2004
Analyzing microarray gene expression data. Zbl 1140.92010
McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe
42
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.
7
2004
Mixture modelling for cluster analysis. Zbl 1053.62076
McLachlan, G. J.; Chang, S. U.
5
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.
89
2003
Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013
Ambroise, Christophe; McLachlan, Geoffrey J.
50
2002
Maximum likelihood estimation of mixture densities for binned and truncated multivariate data. Zbl 1012.68057
Cadez, Igor V.; Smyth, Padhraic; McLachlan, Geoff J.; McLaren, Christine E.
12
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
494
1997
High-breakdown linear discriminant analysis. Zbl 0889.62052
Hawkins, Douglas M.; McLachlan, Geoffrey J.
27
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
Discriminant analysis and statistical pattern recognition. Zbl 0850.62481
McLachlan, Geoffrey J.
116
1992
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.
360
1988
Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214
McLachlan, G. J.; Jones, P. N.
28
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.
9
1987
Error rate estimation in discriminant analysis: recent advances. Zbl 0644.62066
McLachlan, G. J.
3
1987
Assessing the performance of an allocation rule. Zbl 0607.62067
McLachlan, G. J.
9
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.
30
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.
2
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.
25
1978
The biases associated with maximum likelihood methods of estimation of the multivariate logistic risk function. Zbl 0392.62037
Byth, K.; McLachlan, G. J.
5
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.
11
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.
14
1975
Confidence intervals for the conditional probability of misallocation in discriminant analysis. Zbl 0312.62046
McLachlan, G. J.
10
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.
19
1974
The asymptotic distributions of the conditional error rate and risk in discriminant analysis. Zbl 0276.62061
McLachlan, G. J.
9
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.
6
1974
An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041
McLachlan, G. J.
10
1973
...and 2 more Documents
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Cited by 4,335 Authors

72 McLachlan, Geoffrey John
50 McNicholas, Paul D.
33 Lin, Tsung I.
30 Punzo, Antonio
26 Balakrishnan, Narayanaswamy
25 Browne, Ryan P.
25 Nguyen, Hien Duy
25 Yao, Weixin
24 Melnykov, Volodymyr
24 Viroli, Cinzia
22 Wang, Wan-Lun
21 Ingrassia, Salvatore
21 Mayo-Iscar, Agustin
20 García-Escudero, Luis Angel
19 Biernacki, Christophe
19 Lachos Dávila, Víctor Hugo
19 Murphy, Thomas Brendan
17 Bouveyron, Charles
16 Bartolucci, Francesco
16 Böhning, Dankmar
16 Celeux, Gilles
15 Bouguila, Nizar
15 Lee, Sharon X.
15 Zhu, Xuwen
14 Govaert, Gérard
13 Al-Moisheer, A. S.
13 Karlis, Dimitris
13 Soffritti, Gabriele
13 Yang, Miin-Shen
12 Forbes, Florence
12 Galimberti, Giuliano
12 Rocci, Roberto
12 Vermunt, Jeroen K.
11 Gordaliza, Alfonso
11 Greselin, Francesca
11 Hennig, Christian
11 Montanari, Angela
11 Pal, Suvra
10 Andrews, Jeffrey L.
10 Cabral, Celso Rômulo Barbosa
10 Chamroukhi, Faicel
10 Cordeiro, Gauss Moutinho
10 Iannario, Maria
10 Maleki, Mohsen
10 Sultan, Khalaf Salman
10 Wang, Yong
9 Chen, Jiahua
9 DeSarbo, Wayne S.
9 Hand, David J.
9 Latouche, Pierre
9 Maĭboroda, Rostyslav Yevgenovych
9 Marbac, Matthieu
9 Scrucca, Luca
8 Dučinskas, Kȩstutis
8 Hunter, David R.
8 Jamalizadeh, Ahad
8 Kim, Hea-Jung
8 Lee, Andy H.
8 Lindsay, Bruce G.
8 Maitra, Ranjan
8 Maruotti, Antonello
8 Nadif, Mohamed
8 Piccolo, Domenico
8 Verbeke, Geert N.
8 Wu, Liucang
8 Young, Derek Scott
7 Ahmad, Khalaf El-Dab
7 Al-Hussaini, Essam Khalaf
7 Alfò, Marco
7 Arslan, Olcay
7 Di Mari, Roberto
7 Dougherty, Edward R.
7 Ganjali, Mojtaba
7 Gormley, Isobel Claire
7 Hall, Peter Gavin
7 Larrañaga, Pedro
7 Leiva, Víctor
7 Moghimbeigi, Abbas
7 Molenberghs, Geert
7 Pennoni, Fulvia
7 Robin, Stéphane
7 Subedi, Sanjeena
7 Tang, Manlai
7 Yau, Kelvin K. W.
7 Zollanvari, Amin
6 Ahfock, Daniel C.
6 Ambroise, Christophe
6 Anderlucci, Laura
6 Bacci, Silvia
6 Badescu, Andrei L.
6 Bagnato, Luca
6 Bolfarine, Heleno
6 Bordes, Laurent
6 Brusco, Michael J.
6 Cappozzo, Andrea
6 Castro, Luis Mauricio
6 Dean, Nema
6 Farcomeni, Alessio
6 Fernández, Daniel
6 Guédon, Yann
...and 4,235 more Authors
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Cited in 296 Serials

324 Computational Statistics and Data Analysis
104 Advances in Data Analysis and Classification. ADAC
102 Journal of Applied Statistics
100 Statistics and Computing
91 Communications in Statistics. Theory and Methods
88 Pattern Recognition
87 Journal of Statistical Computation and Simulation
85 Communications in Statistics. Simulation and Computation
74 Journal of Multivariate Analysis
69 Computational Statistics
67 Journal of Classification
65 Biometrics
54 Journal of Statistical Planning and Inference
49 Psychometrika
48 The Annals of Applied Statistics
39 Statistics & Probability Letters
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29 Statistical Methods and Applications
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21 European Journal of Operational Research
19 Scandinavian Journal of Statistics
19 Journal of Econometrics
18 Biometrical Journal
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17 Australian & New Zealand Journal of Statistics
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15 Journal of the Royal Statistical Society. Series B. Statistical Methodology
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13 Journal of Agricultural, Biological, and Environmental Statistics
12 Metrika
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9 Methodology and Computing in Applied Probability
9 Journal of Machine Learning Research (JMLR)
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8 ASTIN Bulletin
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8 Sankhyā. Series B
8 Bayesian Analysis
7 Computers & Mathematics with Applications
7 Journal of Computational Physics
7 Theory of Probability and Mathematical Statistics
7 Journal of Nonparametric Statistics
7 PAA. Pattern Analysis and Applications
7 Applied Stochastic Models in Business and Industry
7 North American Actuarial Journal
6 Kybernetika
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6 Environmetrics
5 American Journal of Mathematical and Management Sciences
5 Applied Mathematics. Series B (English Edition)
5 European Series in Applied and Industrial Mathematics (ESAIM): Probability and Statistics
5 SIAM Journal on Imaging Sciences
5 Journal of Statistical Distributions and Applications
5 Modern Stochastics. Theory and Applications
4 Physica A
4 Mathematics and Computers in Simulation
4 Econometric Reviews
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4 Statistica Sinica
4 The Econometrics Journal
4 Econometric Theory
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