-
3
-
-
0035284320
-
Analysis of incomplete climate data: estimation of mean values and covariance matrices and imputation of missing values
-
Schneider T. Analysis of incomplete climate data: estimation of mean values and covariance matrices and imputation of missing values. Journal of Climate 2001, 14:853-871.
-
(2001)
Journal of Climate
, vol.14
, pp. 853-871
-
-
Schneider, T.1
-
6
-
-
77953996246
-
An efficient nonlinear programming strategy for PCA models with incomplete data sets
-
Lopez-Negrete R., García-Muñoz S., Biegler L.T. An efficient nonlinear programming strategy for PCA models with incomplete data sets. Journal of Chemometrics 2010, 24:301-311.
-
(2010)
Journal of Chemometrics
, vol.24
, pp. 301-311
-
-
Lopez-Negrete, R.1
García-Muñoz, S.2
Biegler, L.T.3
-
8
-
-
84863778202
-
Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects
-
Camacho J., Ferrer A. Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects. Journal of Chemometrics 2012, 26:361-373.
-
(2012)
Journal of Chemometrics
, vol.26
, pp. 361-373
-
-
Camacho, J.1
Ferrer, A.2
-
9
-
-
0036685755
-
Dealing with missing data in MSPC: several methods, different interpretations, some examples
-
Arteaga F., Ferrer A. Dealing with missing data in MSPC: several methods, different interpretations, some examples. Journal of Chemometrics 2002, 16:408-418.
-
(2002)
Journal of Chemometrics
, vol.16
, pp. 408-418
-
-
Arteaga, F.1
Ferrer, A.2
-
10
-
-
0036712286
-
Exploratory analysis of data sets with missing elements and outliers
-
Smolinski A., Walczak B., Einax J.W. Exploratory analysis of data sets with missing elements and outliers. Chemosphere 2002, 49:233-245.
-
(2002)
Chemosphere
, vol.49
, pp. 233-245
-
-
Smolinski, A.1
Walczak, B.2
Einax, J.W.3
-
11
-
-
33644535120
-
Framework for regression-based missing data imputation methods in on-line MSPC
-
Arteaga F., Ferrer A. Framework for regression-based missing data imputation methods in on-line MSPC. Journal of Chemometrics 2005, 19:439-447.
-
(2005)
Journal of Chemometrics
, vol.19
, pp. 439-447
-
-
Arteaga, F.1
Ferrer, A.2
-
12
-
-
33751549943
-
Dealing with missing values and outliers in principal component analysis
-
Stanimirova I., Serneels S., Van Espen P.J., Walczak B. Dealing with missing values and outliers in principal component analysis. Analytica Chimica Acta 2007, 581:324-332.
-
(2007)
Analytica Chimica Acta
, vol.581
, pp. 324-332
-
-
Stanimirova, I.1
Serneels, S.2
Van Espen, P.J.3
Walczak, B.4
-
13
-
-
0029473945
-
Imputation techniques in regression analysis: looking closely at their implementation
-
Bello A.L. Imputation techniques in regression analysis: looking closely at their implementation. Computational Statistics & Data Analysis 1995, 20:45-57.
-
(1995)
Computational Statistics & Data Analysis
, vol.20
, pp. 45-57
-
-
Bello, A.L.1
-
14
-
-
0009306672
-
Choosing among imputation techniques for incomplete multivariate data - a simulation study
-
Bello A.L. Choosing among imputation techniques for incomplete multivariate data - a simulation study. Communications in Statistics A Theory 1993, 22:853-877.
-
(1993)
Communications in Statistics A Theory
, vol.22
, pp. 853-877
-
-
Bello, A.L.1
-
16
-
-
78650554266
-
Biological impact of missing-value imputation on downstream analyses of gene expression profiles
-
Oh S., Kang D.D., Brock G.N., Tseng G.C. Biological impact of missing-value imputation on downstream analyses of gene expression profiles. Bioinformatics 2011, 27:78-86.
-
(2011)
Bioinformatics
, vol.27
, pp. 78-86
-
-
Oh, S.1
Kang, D.D.2
Brock, G.N.3
Tseng, G.C.4
-
17
-
-
33847348383
-
On classification with incomplete data
-
Williams D., Liao X., Xue Y., Carin L., Krishnapuram B. On classification with incomplete data. IEEE Transactions on Pattern Analysis 2007, 29:427-436.
-
(2007)
IEEE Transactions on Pattern Analysis
, vol.29
, pp. 427-436
-
-
Williams, D.1
Liao, X.2
Xue, Y.3
Carin, L.4
Krishnapuram, B.5
-
18
-
-
49649098733
-
Impact of imputation of missing values on classification error for discrete data
-
Farhangfar A., Kurgan L., Dy J. Impact of imputation of missing values on classification error for discrete data. Pattern Recognition 2008, 41:3692-3705.
-
(2008)
Pattern Recognition
, vol.41
, pp. 3692-3705
-
-
Farhangfar, A.1
Kurgan, L.2
Dy, J.3
-
19
-
-
14944360441
-
Missing-data methods for generalized linear models
-
Ibrahim J.G., Chen M.H., Lipsitz S.R., Herring A.H. Missing-data methods for generalized linear models. Journal of the American Statistical Association 2005, 100:332-346.
-
(2005)
Journal of the American Statistical Association
, vol.100
, pp. 332-346
-
-
Ibrahim, J.G.1
Chen, M.H.2
Lipsitz, S.R.3
Herring, A.H.4
-
20
-
-
79951982954
-
Multiple imputation by chained equations: what is it and how does it work?
-
Azur M.J., Stuart E.A., Frangakis C., Leaf P.J. Multiple imputation by chained equations: what is it and how does it work?. International Journal of Methods in Psychiatric Research 2011, 20:40-49.
-
(2011)
International Journal of Methods in Psychiatric Research
, vol.20
, pp. 40-49
-
-
Azur, M.J.1
Stuart, E.A.2
Frangakis, C.3
Leaf, P.J.4
-
23
-
-
84950631241
-
Treatment of missing values in discriminant analysis. 1. Sampling experiment
-
Chan L.S., Dunn O.J. Treatment of missing values in discriminant analysis. 1. Sampling experiment. Journal of the American Statistical Association 1972, 67:473-477.
-
(1972)
Journal of the American Statistical Association
, vol.67
, pp. 473-477
-
-
Chan, L.S.1
Dunn, O.J.2
-
24
-
-
0038213576
-
Missing value imputation in multivariate data using the singular value decomposition of a matrix
-
Krzanowski W.J. Missing value imputation in multivariate data using the singular value decomposition of a matrix. Biometrical Letters 1988, 25:31-39.
-
(1988)
Biometrical Letters
, vol.25
, pp. 31-39
-
-
Krzanowski, W.J.1
-
25
-
-
0023526237
-
Cross-validation in principal component analysis
-
Krzanowski W.J. Cross-validation in principal component analysis. Biometrics 1987, 43:575-584.
-
(1987)
Biometrics
, vol.43
, pp. 575-584
-
-
Krzanowski, W.J.1
-
26
-
-
78651256743
-
Multiple imputation using chained equations: issues and guidance for practice
-
White I.R., Royston P., Wood A.M. Multiple imputation using chained equations: issues and guidance for practice. Statistics in Medicine 2011, 30:377-399.
-
(2011)
Statistics in Medicine
, vol.30
, pp. 377-399
-
-
White, I.R.1
Royston, P.2
Wood, A.M.3
-
27
-
-
77249147857
-
Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation
-
Lee K.J., Carlin J.B. Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation. American Journal of Epidemiology 2010, 171:624-632.
-
(2010)
American Journal of Epidemiology
, vol.171
, pp. 624-632
-
-
Lee, K.J.1
Carlin, J.B.2
-
28
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster A.P., Laird N.M., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B Methods 1977, 39:1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B Methods
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
29
-
-
0031173551
-
Regularization by truncated total least squares
-
Fierro R.D., Golub G.H., Hansen P.C., O'Leary D.P. Regularization by truncated total least squares. SIAM Journal on Scientific Computing 1997, 18:1223-1241.
-
(1997)
SIAM Journal on Scientific Computing
, vol.18
, pp. 1223-1241
-
-
Fierro, R.D.1
Golub, G.H.2
Hansen, P.C.3
O'Leary, D.P.4
-
32
-
-
0030326891
-
Regularized Gaussian discriminant analysis through eigenvalue decomposition
-
Bensmail H., Celeux G. Regularized Gaussian discriminant analysis through eigenvalue decomposition. Journal of the American Statistical Association 1996, 91:1743-1748.
-
(1996)
Journal of the American Statistical Association
, vol.91
, pp. 1743-1748
-
-
Bensmail, H.1
Celeux, G.2
-
33
-
-
0027453616
-
Model-based Gaussian and non-Gaussian clustering
-
Banfield J.D., Raftery A.E. Model-based Gaussian and non-Gaussian clustering. Biometrics 1993, 49:803-821.
-
(1993)
Biometrics
, vol.49
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
34
-
-
21344489373
-
Error rates in quadratic discrimination with constraints on the covariance matrices
-
Flury B.W., Schmid M.J., Narayanan A. Error rates in quadratic discrimination with constraints on the covariance matrices. Journal of Classification 1994, 11:101-120.
-
(1994)
Journal of Classification
, vol.11
, pp. 101-120
-
-
Flury, B.W.1
Schmid, M.J.2
Narayanan, A.3
-
35
-
-
0013125561
-
Feature selection with neural networks
-
Leray P., Gallinari P. Feature selection with neural networks. Behaviormetrika 1998, 26:145-166.
-
(1998)
Behaviormetrika
, vol.26
, pp. 145-166
-
-
Leray, P.1
Gallinari, P.2
|