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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, G. J.; McLachlan, Geoffrey J.; Mclachlan, Geoffrey J.; McLachlan, Geoffrey; McLachlan, Geoffrey John; Mclachlan, G. J.
Documents Indexed: 113 Publications since 1972, including 6 Books
all top 5

Serials

9 Biometrics
9 Computational Statistics and Data Analysis
6 Communications in Statistics. Theory and Methods
6 Pattern Recognition
5 The Australian Journal of Statistics
5 Technometrics
5 Statistics & Probability Letters
5 Statistics and Computing
4 Biometrical Journal
4 Advances in Data Analysis and Classification. ADAC
3 Biometrika
3 Journal of the American Statistical Association
3 Communications in Statistics. Simulation and Computation
3 Journal of Statistical Computation and Simulation
2 Journal of Multivariate Analysis
2 Neural Computation
2 Test
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 Applied Statistics
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 Japanese Journal of Statistics and Data Science
1 Cogent Mathematics & Statistics

Publications by Year

Citations contained in zbMATH Open

80 Publications have been cited 2,735 times in 1,866 Documents Cited by Year
Finite mixture models. Zbl 0963.62061
McLachlan, Geoffrey; Peel, David
937
2000
The EM algorithm and extensions. Zbl 0882.62012
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
403
1997
Mixture models: inference and applications to clustering. Zbl 0697.62050
McLachlan, Geoffrey J.; Basford, Kaye E.
296
1988
The EM algorithm and extensions. 2nd ed. Zbl 1165.62019
McLachlan, Geoffrey J.; Krishnan, Thriyambakam
245
2008
Discriminant analysis and statistical pattern recognition. 2nd printing. Zbl 1108.62317
McLachlan, Geoffrey J.
128
2004
Modelling high-dimensional data by mixtures of factor analyzers. Zbl 1256.62036
McLachlan, G. J.; Peel, D.; Bean, R. W.
67
2003
On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115
Lee, Sharon X.; McLachlan, Geoffrey J.
56
2013
Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107
Lee, Sharon; McLachlan, Geoffrey J.
48
2014
Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013
Ambroise, Christophe; McLachlan, Geoffrey J.
45
2002
Analyzing microarray gene expression data. Zbl 1140.92010
McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe
35
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.
28
2006
Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209
Lee, Sharon X.; McLachlan, Geoffrey J.
24
2013
The efficiency of a linear discriminant function based on unclassified initial samples. Zbl 0389.62045
Ganesalingam, S.; McLachlan, G. J.
24
1978
High-breakdown linear discriminant analysis. Zbl 0889.62052
Hawkins, Douglas M.; McLachlan, Geoffrey J.
24
1997
Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214
McLachlan, G. J.; Jones, P. N.
24
1988
The classification and mixture maximum likelihood approaches to cluster analysis. Zbl 0513.62064
McLachlan, G. J.
23
1982
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.
22
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.
17
2016
An asymptotic unbiased technique for estimating the error rates in discriminant analysis. Zbl 0288.62027
McLachlan, G. J.
17
1974
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
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
Laplace mixture of linear experts. Zbl 06918696
Nguyen, Hien D.; McLachlan, Geoffrey J.
11
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.
10
2015
The bias of the apparent error rate in discriminant analysis. Zbl 0331.62042
McLachlan, G. J.
10
1976
An asymptotic expansion of the expectation of the estimated error rate in discriminant analysis. Zbl 0286.62041
McLachlan, G. J.
10
1973
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.
7
1976
Further results on the effect of intraclass correlation among training samples in discriminant analysis. Zbl 0351.62041
McLachlan, G. J.
7
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
Updating a discriminant function on the basis of unclassified data. Zbl 0507.62063
McLachlan, G. J.; Ganesalingam, S.
6
1982
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.
6
1987
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.
5
2004
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
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
Mixture models for clustering multilevel growth trajectories. Zbl 06975371
Ng, S. K.; McLachlan, G. J.
5
2014
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
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
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
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
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
Mixtures of spatial spline regressions for clustering and classification. Zbl 06918688
Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A.
4
2016
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
Mixture modelling for cluster analysis. Zbl 1053.62076
McLachlan, G. J.; Chang, S. U.
3
2004
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
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
Editorial: The 2nd special issue on advances in mixture models. Zbl 06975367
Böhning, Dankmar (ed.); Hennig, Christian (ed.); McLachlan, Geoffrey J. (ed.); McNicholas, Paul D. (ed.)
3
2014
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.
2
2016
Progress on a conjecture regarding the triangular distribution. Zbl 1379.62018
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2017
Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2015
Asymptotic results for discriminant analysis when the initial samples are misclassified. Zbl 0244.62046
McLachlan, G. J.
2
1972
A comparison of the estimative and predictive methods of estimating posterior probabilities. Zbl 0412.62039
McLachlan, G. J.
2
1979
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
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
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.
2
2018
Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148
McLachlan, Geoffrey J.; Rathnayake, Suren I.
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
Special issue on “New trends on model-based clustering and classification”. Special issue on “New trends on model-based clustering and classification”. Preface by the guest editors: Salvatore Ingrassia, Geoffrey J. McLachlan, Gérard Govaert. Zbl 07061524
Ingrassia, Salvatore (ed.); McLachlan, Geoffrey (ed.); Govaert, Gérard (ed.)
1
2015
A universal approximation theorem for mixture-of-experts models. Zbl 07062798
Nguyen, Hien D.; Lloyd-Jones, Luke R.; McLachlan, Geoffrey J.
1
2016
Some expected values for the error rates of the sample quadratic discriminant function. Zbl 0398.62049
McLachlan, G. J.
1
1975
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
Clustering via mixture regression models with random effects. Zbl 1148.62049
McLachlan, Geoffrey J.; Ng, Shu Kay (Angus); Wang, Kui
1
2008
Parametric estimation in a genetic mixture model with application to nuclear family data. Zbl 0824.62099
Shoukri, M. M.; McLachlan, G. J.
1
1994
Likelihood-based approaches to pattern recognition. Zbl 0933.68121
McLachlan, G. J.
1
1996
Expected error rates for logistic regression versus normal discriminant analysis. Zbl 0423.62045
McLachlan, G. J.; Byth, K.
1
1979
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
A globally convergent algorithm for Lasso-penalized mixture of linear regression models. Zbl 06920181
Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J.
1
2018
Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073
Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.
1
2020
Mini-batch learning of exponential family finite mixture models. Zbl 1447.62073
Nguyen, Hien D.; Forbes, Florence; McLachlan, Geoffrey J.
1
2020
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.
2
2018
A globally convergent algorithm for Lasso-penalized mixture of linear regression models. Zbl 06920181
Lloyd-Jones, Luke R.; Nguyen, Hien D.; McLachlan, Geoffrey J.
1
2018
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.
22
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.
17
2016
Laplace mixture of linear experts. Zbl 06918696
Nguyen, Hien D.; McLachlan, Geoffrey J.
11
2016
Mixtures of spatial spline regressions for clustering and classification. Zbl 06918688
Nguyen, Hien D.; McLachlan, Geoffrey J.; Wood, Ian A.
4
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.
2
2016
Mixture models for standard \(p\)-dimensional Euclidean data. Zbl 1396.62148
McLachlan, Geoffrey J.; Rathnayake, Suren I.
1
2016
A universal approximation theorem for mixture-of-experts models. Zbl 07062798
Nguyen, Hien D.; Lloyd-Jones, Luke R.; 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.
10
2015
Maximum likelihood estimation of Gaussian mixture models without matrix operations. Zbl 1416.65046
Nguyen, Hien D.; McLachlan, Geoffrey J.
2
2015
Special issue on “New trends on model-based clustering and classification”. Special issue on “New trends on model-based clustering and classification”. Preface by the guest editors: Salvatore Ingrassia, Geoffrey J. McLachlan, Gérard Govaert. Zbl 07061524
Ingrassia, Salvatore; McLachlan, Geoffrey; Govaert, Gérard
1
2015
Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results. Zbl 1325.62107
Lee, Sharon; McLachlan, Geoffrey J.
48
2014
Mixture models for clustering multilevel growth trajectories. Zbl 06975371
Ng, S. K.; McLachlan, G. J.
5
2014
Editorial: The 2nd special issue on advances in mixture models. Zbl 06975367
Böhning, Dankmar; Hennig, Christian; McLachlan, Geoffrey J.; McNicholas, Paul D.
3
2014
On mixtures of skew normal and skew \(t\)-distributions. Zbl 1273.62115
Lee, Sharon X.; McLachlan, Geoffrey J.
56
2013
Model-based clustering and classification with non-normal mixture distributions. Zbl 1332.62209
Lee, Sharon X.; McLachlan, Geoffrey J.
24
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
245
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
Clustering via mixture regression models with random effects. Zbl 1148.62049
McLachlan, Geoffrey J.; Ng, Shu Kay (Angus); Wang, Kui
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.
28
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.
128
2004
Analyzing microarray gene expression data. Zbl 1140.92010
McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe
35
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.
5
2004
Mixture modelling for cluster analysis. Zbl 1053.62076
McLachlan, G. J.; Chang, S. U.
3
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.
67
2003
Selection bias in gene extraction on the basis of microarray gene-expression data. Zbl 1034.92013
Ambroise, Christophe; McLachlan, Geoffrey J.
45
2002
Finite mixture models. Zbl 0963.62061
McLachlan, Geoffrey; Peel, David
937
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
403
1997
High-breakdown linear discriminant analysis. Zbl 0889.62052
Hawkins, Douglas M.; McLachlan, Geoffrey J.
24
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.
1
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.
296
1988
Fitting mixture models to grouped and truncated data via the EM algorithm. Zbl 0707.62214
McLachlan, G. J.; Jones, P. N.
24
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.
6
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.
23
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.
7
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.
17
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.
2
1972
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Cited by 3,002 Authors

40 McNicholas, Paul D.
29 McLachlan, Geoffrey John
23 Lin, Tsung I.
21 Punzo, Antonio
20 Melnykov, Volodymyr
19 Balakrishnan, Narayanaswamy
18 Ingrassia, Salvatore
18 Mayo-Iscar, Agustin
18 Viroli, Cinzia
17 García-Escudero, Luis Angel
16 Murphy, Thomas Brendan
16 Nguyen, Hien D. T.
16 Yao, Weixin
15 Biernacki, Christophe
14 Böhning, Dankmar
14 Bouguila, Nizar
14 Browne, Ryan P.
13 Bartolucci, Francesco
13 Celeux, Gilles
13 Wang, Wan-Lun
12 Bouveyron, Charles
12 Karlis, Dimitris
12 Lee, Sharon X.
12 Yang, Miin-Shen
11 Gordaliza, Alfonso
11 Govaert, Gérard
11 Iannario, Maria
10 Greselin, Francesca
10 Rocci, Roberto
9 Al-Moisheer, A. S.
9 DeSarbo, Wayne S.
9 Galimberti, Giuliano
9 Lachos Dávila, Víctor Hugo
9 Vermunt, Jeroen K.
8 Hennig, Christian
8 Kim, Hea-Jung
8 Lee, Andy H.
8 Maĭboroda, Rostyslav Yevgenovych
8 Maleki, Mohsen
8 Montanari, Angela
8 Pal, Suvra
8 Piccolo, Domenico
8 Soffritti, Gabriele
8 Sultan, Khalaf Salman
8 Zhu, Xuwen
7 Cabral, Celso Rômulo Barbosa
7 Forbes, Florence
7 Hand, David J.
7 Hunter, David R.
7 Lindsay, Bruce G.
7 Molenberghs, Geert
7 Verbeke, Geert N.
7 Yau, Kelvin K. W.
6 Andrews, Jeffrey L.
6 Bordes, Laurent
6 Chamroukhi, Faicel
6 Dean, Nema
6 Dučinskas, Kȩstutis
6 Gormley, Isobel Claire
6 Larrañaga, Pedro
6 Latouche, Pierre
6 Michael, Semhar
6 Nadif, Mohamed
6 Robin, Stéphane
6 Scrucca, Luca
6 Subedi, Sanjeena
5 Aknin, Patrice
5 Al-Hussaini, Essam Khalaf
5 Bacci, Silvia
5 Chen, Kun
5 De Boeck, Paul
5 Denœux, Thierry
5 Farcomeni, Alessio
5 Ganjali, Mojtaba
5 Ho, Hsiu J.
5 Hung, Wenliang
5 Jamalizadeh, Ahad
5 Lange, Kenneth L.
5 Longford, Nicholas Tibor
5 Maitra, Ranjan
5 Marbac, Matthieu
5 Maruotti, Antonello
5 Matrán, Carlos
5 Miljkovic, Tatjana
5 Pledger, Shirley
5 Quintana, Fernando Andrés
5 Samé, Allou
5 Takai, Keiji
5 Tortora, Cristina
5 Vandekerkhove, Pierre
5 Vandewalle, Vincent
5 Wraith, Darren
5 Wu, Lang
4 Ahmad, Khalaf El-Dab
4 Alfò, Marco
4 Ambroise, Christophe
4 Arellano-Valle, Reinaldo Boris
4 Arnold, Richard A.
4 Badescu, Andrei L.
4 Baghfalaki, Taban
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Cited in 231 Serials

253 Computational Statistics and Data Analysis
79 Advances in Data Analysis and Classification. ADAC
72 Statistics and Computing
56 Computational Statistics
56 Journal of Statistical Computation and Simulation
52 Journal of Applied Statistics
51 Biometrics
51 Pattern Recognition
43 Journal of Classification
41 Psychometrika
41 Journal of Multivariate Analysis
40 Journal of Statistical Planning and Inference
40 Communications in Statistics. Simulation and Computation
37 Communications in Statistics. Theory and Methods
34 The Annals of Applied Statistics
29 The Annals of Statistics
29 Electronic Journal of Statistics
28 Statistics & Probability Letters
22 Statistical Methods and Applications
20 Annals of the Institute of Statistical Mathematics
20 Statistical Science
20 Statistical Modelling
19 Statistical Papers
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 Bernoulli
12 European Journal of Operational Research
11 Neural Networks
11 Journal of the Korean Statistical Society
11 Journal of Agricultural, Biological, and Environmental Statistics
10 International Journal of Approximate Reasoning
10 Statistical Methodology
9 Metrika
9 Information Sciences
9 Test
9 Journal of the Royal Statistical Society. Series C. Applied Statistics
9 Statistical Analysis and Data Mining
8 Automatica
8 Biometrical Journal
8 Journal of Mathematical Psychology
8 Metron
8 Mathematical and Computer Modelling
8 Neural Computation
8 Mathematical Problems in Engineering
8 Methodology and Computing in Applied Probability
7 Journal of Computational Physics
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7 Journal of Computational and Applied Mathematics
7 Machine Learning
7 Journal of Mathematical Imaging and Vision
7 Theory of Probability and Mathematical Statistics
7 Journal of Nonparametric Statistics
7 PAA. Pattern Analysis and Applications
7 Brazilian Journal of Probability and Statistics
7 ASTIN Bulletin
7 Statistical Applications in Genetics and Molecular Biology
7 AStA. Advances in Statistical Analysis
6 Applied Mathematics and Computation
6 Fuzzy Sets and Systems
6 Kybernetika
6 Insurance Mathematics & Economics
6 Signal Processing
6 Australian & New Zealand Journal of Statistics
6 Data Mining and Knowledge Discovery
6 Journal of Theoretical Biology
6 Bayesian Analysis
5 Journal of Time Series Analysis
5 American Journal of Mathematical and Management Sciences
5 Statistics
5 Lifetime Data Analysis
5 Sankhyā. Series B
4 Annals of Operations Research
4 Journal of Global Optimization
4 Applied Mathematics. Series B (English Edition)
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 North American Actuarial Journal
4 Computational & Mathematical Methods in Medicine
4 Journal of Statistical Distributions and Applications
4 Modern Stochastics. Theory and Applications
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 Numerical Algorithms
3 Games and Economic Behavior
3 Applied Mathematical Modelling
3 Annales de l’Institut Henri Poincaré. Probabilités et Statistiques
3 Mathematical Population Studies
3 Econometric Theory
3 International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
3 Journal of Machine Learning Research (JMLR)
3 Computational Biology and Chemistry
3 Computational Management Science
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17 Combinatorics (05-XX)
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2 History and biography (01-XX)
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