-
1
-
-
0001665174
-
Statistical modelling of data on teaching styles
-
Aitkin M., Anderson D., and Hinde J. 1981. Statistical modelling of data on teaching styles (with discussion). J. R. Statist. Soc. A 144: 419-461.
-
(1981)
J. R. Statist. Soc. A
, vol.144
, pp. 419-461
-
-
Aitkin, M.1
Anderson, D.2
Hinde, J.3
-
2
-
-
0000354976
-
A comparative study of ordinary cross-validation, v-fold cross-validation, and the repeated learning-testing methods
-
Burman P. 1989. A comparative study of ordinary cross-validation, v-fold cross-validation, and the repeated learning-testing methods. Biometrika 76(3): 503-514.
-
(1989)
Biometrika
, vol.76
, Issue.3
, pp. 503-514
-
-
Burman, P.1
-
3
-
-
0029305528
-
Gaussian parsimonious clustering models
-
Celeux G. and Govaert G. 1995. Gaussian parsimonious clustering models. Pattern Recognition 28: 781-793.
-
(1995)
Pattern Recognition
, vol.28
, pp. 781-793
-
-
Celeux, G.1
Govaert, G.2
-
4
-
-
0027789330
-
Cluster analysis of the Northern hemisphere winter-time 500-hPa height field: Spatial patterns
-
Cheng X. and Wallace J.M. 1993. Cluster analysis of the Northern hemisphere winter-time 500-hPa height field: spatial patterns. J. Atmos. Sci. 50(16): 2674-2696.
-
(1993)
J. Atmos. Sci.
, vol.50
, Issue.16
, pp. 2674-2696
-
-
Cheng, X.1
Wallace, J.M.2
-
5
-
-
0031272327
-
Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables
-
Chickering D.M. and Heckerman D. 1997. Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables. Machine Learning 29(2/3): 181-244.
-
(1997)
Machine Learning
, vol.29
, Issue.2-3
, pp. 181-244
-
-
Chickering, D.M.1
Heckerman, D.2
-
7
-
-
0000582742
-
Present position and potential developments: Some personal views. Statistical theory: The prequential approach
-
with discussion
-
Dawid A.P. 1984. Present position and potential developments: some personal views. Statistical theory: the prequential approach. J. R. Statist. Soc. A 147: 278-292 (with discussion).
-
(1984)
J. R. Statist. Soc. A
, vol.147
, pp. 278-292
-
-
Dawid, A.P.1
-
8
-
-
0001244941
-
Bayesian estimation of finite mixture distributions
-
Diebolt J. and Robert C.P. 1994. Bayesian estimation of finite mixture distributions. J. R. Statist. Soc. B 56: 363-375.
-
(1994)
J. R. Statist. Soc. B
, vol.56
, pp. 363-375
-
-
Diebolt, J.1
Robert, C.P.2
-
10
-
-
0000452356
-
Using bootstrap likelihood ratios in finite mixture models
-
Feng Z.D. and McCulloch C.E. 1996. Using bootstrap likelihood ratios in finite mixture models. J. R. Statist. Soc. B 58(3): 609-617.
-
(1996)
J. R. Statist. Soc. B
, vol.58
, Issue.3
, pp. 609-617
-
-
Feng, Z.D.1
McCulloch, C.E.2
-
11
-
-
0032269108
-
How many clusters? Which clustering method? Answers via model-based cluster analysis
-
Fraley C. and Raftery A.E. 1998. How many clusters? Which clustering method? Answers via model-based cluster analysis. Computer Journal 41: 578-588.
-
(1998)
Computer Journal
, vol.41
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
12
-
-
0000558731
-
Rational decisions
-
Good I.J. 1952. Rational decisions. J. R. Statist. Soc. B 14, 107-114.
-
(1952)
J. R. Statist. Soc. B
, vol.14
, pp. 107-114
-
-
Good, I.J.1
-
15
-
-
85156223398
-
A bound on the error of cross validation using the approximation and estimation rates, with consequences for the training-test split
-
Touretzky D.S., Mozer M.C., and Hasselmo M.E. (Eds.), Cambridge, MA, The MIT Press
-
Kearns M. 1996. A bound on the error of cross validation using the approximation and estimation rates, with consequences for the training-test split. In: Touretzky D.S., Mozer M.C., and Hasselmo M.E. (Eds.), Advances in Neural Information Processing 8. Cambridge, MA, The MIT Press, pp. 183-189.
-
(1996)
Advances in Neural Information Processing
, vol.8
, pp. 183-189
-
-
Kearns, M.1
-
16
-
-
0027789332
-
Multiple flow regimes in the Northern hemisphere winter: Part I: Methodology and hemispheric regimes
-
Kimoto M. and Ghil M. 1993. Multiple flow regimes in the Northern hemisphere winter: Part I: methodology and hemispheric regimes. J. Atmos. Sci. 50(16): 2625-2643.
-
(1993)
J. Atmos. Sci.
, vol.50
, Issue.16
, pp. 2625-2643
-
-
Kimoto, M.1
Ghil, M.2
-
17
-
-
84988091828
-
A Bayesian method for classification and discrimination
-
Lavine M. and West M. 1992. A Bayesian method for classification and discrimination. Can. J. Statist. 20: 451-461.
-
(1992)
Can. J. Statist.
, vol.20
, pp. 451-461
-
-
Lavine, M.1
West, M.2
-
18
-
-
0023570352
-
On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture
-
McLachlan G.J. 1987. On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture. Appl. Statist. 36: 318-324.
-
(1987)
Appl. Statist.
, vol.36
, pp. 318-324
-
-
McLachlan, G.J.1
-
21
-
-
0012386026
-
On a resampling approach to choosing the number of components in normal mixture models
-
L. Billard and N.I. Fisher (Eds.). Fairfax Station, Virginia, Interface Foundation of North America
-
McLachlan G.J. and Peel D. 1997. On a resampling approach to choosing the number of components in normal mixture models. In: L. Billard and N.I. Fisher (Eds.). Computing Science and Statistics (Vol. 28), Fairfax Station, Virginia, Interface Foundation of North America, pp. 260-266.
-
(1997)
Computing Science and Statistics
, vol.28
, pp. 260-266
-
-
McLachlan, G.J.1
Peel, D.2
-
22
-
-
0003022525
-
MIXFIT: An algorithm for the automatic fitting and testing of normal mixture models
-
Los Alamitos, CA, IEEE Computer Society
-
McLachlan G.J. and Peel D. 1998. MIXFIT: An algorithm for the automatic fitting and testing of normal mixture models. In: Proceedings of the 14th International Conference on Pattern Recognition, Vol. I, Los Alamitos, CA, IEEE Computer Society, pp. 553-557.
-
(1998)
Proceedings of the 14th International Conference on Pattern Recognition
, vol.1
, pp. 553-557
-
-
McLachlan, G.J.1
Peel, D.2
-
23
-
-
0029542803
-
Weather regimes: Recurrence and quasi-stationarity
-
Michelangeli P.-A., Vautard R., and Legras B. 1995. Weather regimes: recurrence and quasi-stationarity. J. Atmos. Sci. 52(8): 1237-1256.
-
(1995)
J. Atmos. Sci.
, vol.52
, Issue.8
, pp. 1237-1256
-
-
Michelangeli, P.-A.1
Vautard, R.2
Legras, B.3
-
24
-
-
0024197506
-
Cluster analysis of multiple planetary flow regimes
-
Mo K. and Ghil M. 1988. Cluster analysis of multiple planetary flow regimes. J. Geophys. Res. 93, D9: 10927-10952.
-
(1988)
J. Geophys. Res. 93
, vol.D9
, pp. 10927-10952
-
-
Mo, K.1
Ghil, M.2
-
26
-
-
0001348541
-
Accounting for model uncertainty in survival analysis improves predictive performance
-
Bernardo J.M., Berger J.O., Dawid A.P., and Smith A.F.M. (Eds.), Oxford University Press
-
Raftery A.E., Madigan D., and Volinsky C. 1996. 'Accounting for model uncertainty in survival analysis improves predictive performance,' In: Bernardo J.M., Berger J.O., Dawid A.P., and Smith A.F.M. (Eds.), Bayesian Statistics 5. Oxford University Press, pp. 323-349.
-
(1996)
Bayesian Statistics
, vol.5
, pp. 323-349
-
-
Raftery, A.E.1
Madigan, D.2
Volinsky, C.3
-
27
-
-
0018758830
-
An attempt to define the nature of chemical diabetes using a multi-dimensional analysis
-
Reaven G.M. and Miller R.G. 1979. An attempt to define the nature of chemical diabetes using a multi-dimensional analysis. Diabetologia 16: 17-24.
-
(1979)
Diabetologia
, vol.16
, pp. 17-24
-
-
Reaven, G.M.1
Miller, R.G.2
-
28
-
-
0000120766
-
Estimating the dimensions of a model
-
Schwarz G. 1978. Estimating the dimensions of a model. Annals of Statistics 6: 461-462.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-462
-
-
Schwarz, G.1
-
29
-
-
21144474350
-
Linear model selection by cross-validation
-
Shao J. 1993. Linear model selection by cross-validation. J. Am. Stat. Assoc. 88(422): 486-494.
-
(1993)
J. Am. Stat. Assoc.
, vol.88
, Issue.422
, pp. 486-494
-
-
Shao, J.1
-
32
-
-
84898995769
-
Clustering sequences using hidden Markov models
-
Mozer M.C., Jordan M.I., and Petsche T. (Eds.), Cambridge, MA: MIT Press
-
Smyth P. 1997. Clustering sequences using hidden Markov models. In: Mozer M.C., Jordan M.I., and Petsche T. (Eds.), Advances in Neural Information Processing 9. Cambridge, MA: MIT Press, 648-654.
-
(1997)
Advances in Neural Information Processing
, vol.9
, pp. 648-654
-
-
Smyth, P.1
-
33
-
-
0033226736
-
Multiple regimes in Northern hemisphere height fields via mixture model clustering
-
Smyth P., Ide K., and Ghil M. 1999. Multiple regimes in Northern hemisphere height fields via mixture model clustering. Journal of Atmospheric Sciences 56(21): 3704-3723.
-
(1999)
Journal of Atmospheric Sciences
, vol.56
, Issue.21
, pp. 3704-3723
-
-
Smyth, P.1
Ide, K.2
Ghil, M.3
-
34
-
-
0032661851
-
Linearly combining density estimators via stacking
-
Smyth P. and Wolpert D. 1999. Linearly combining density estimators via stacking. Machine Learning 36(1): 59-83.
-
(1999)
Machine Learning
, vol.36
, Issue.1
, pp. 59-83
-
-
Smyth, P.1
Wolpert, D.2
-
35
-
-
0002643871
-
Clustering criteria and multivariate normal mixtures
-
Symons M. 1981. Clustering criteria and multivariate normal mixtures. Biometrics 37: 35-43.
-
(1981)
Biometrics
, vol.37
, pp. 35-43
-
-
Symons, M.1
-
36
-
-
0042883423
-
-
Technical Report MSR-TR-97-30, Microsoft Research, Redmond, WA
-
Thiesson B., Meek C., Chickering D.M., and Heckerman D. 1997. Learning mixtures of Bayesian networks. Technical Report MSR-TR-97-30, Microsoft Research, Redmond, WA.
-
(1997)
Learning Mixtures of Bayesian Networks
-
-
Thiesson, B.1
Meek, C.2
Chickering, D.M.3
Heckerman, D.4
-
38
-
-
0001906777
-
Observed Climatic Variability: Spatial Structure
-
Anderson D.L.T. and Willebrand J. (Eds.), Springer Verlag
-
Wallace J.M. 1996. Observed Climatic Variability: Spatial Structure. In: Anderson D.L.T. and Willebrand J. (Eds.), Decadal Climate Variability, NATO ASI Series, Springer Verlag.
-
(1996)
Decadal Climate Variability, NATO ASI Series
-
-
Wallace, J.M.1
-
39
-
-
21144472438
-
Model selection via multifold cross validation
-
Zhang P. 1993. Model selection via multifold cross validation. Ann. Statist. 21(1): 299-313.
-
(1993)
Ann. Statist.
, vol.21
, Issue.1
, pp. 299-313
-
-
Zhang, P.1
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