-
1
-
-
33144456780
-
Graphical Markov models in multivariate analysis
-
(S. Ghosh, ed.) Dekker, New York
-
ANDERSSON, S. A., MADIGAN, D., PERLMAN, M. D. and RICHARDSON, T. (1999). Graphical Markov models in multivariate analysis. In Multivariate Analysis, Design of Experiments and Survey Sampling (S. Ghosh, ed.) 187-229. Dekker, New York.
-
(1999)
Multivariate Analysis, Design of Experiments and Survey Sampling
, pp. 187-229
-
-
Andersson, S.A.1
Madigan, D.2
Perlman, M.D.3
Richardson, T.4
-
2
-
-
33144463957
-
-
Unpublished manuscript
-
ARMSTRONG, H., CARTER, C. K., WONG, K. F. and KOHN, R. (2005). Bayesian covariance matrix estimation using a mixture of decomposable graphical models. Unpublished manuscript.
-
(2005)
Bayesian Covariance Matrix Estimation Using A Mixture of Decomposable Graphical Models
-
-
Armstrong, H.1
Carter, C.K.2
Wong, K.F.3
Kohn, R.4
-
3
-
-
84872002632
-
The marginal likelihood for decomposable and non-decomposable graphical Gaussian models
-
To appear
-
ATAY-KAYIS, A. and MASSAM, H. (2006). The marginal likelihood for decomposable and non-decomposable graphical Gaussian models. Biometrika. To appear.
-
(2006)
Biometrika
-
-
Atay-Kayis, A.1
Massam, H.2
-
4
-
-
0003687180
-
-
Springer, New York
-
COWELL, R. G., DAWID, A. P., LAURITZEN, S. L. and SPIE-GELHALTER, D. J. (1999). Probabilistic Networks and Expert Systems. Springer, New York.
-
(1999)
Probabilistic Networks and Expert Systems
-
-
Cowell, R.G.1
Dawid, A.P.2
Lauritzen, S.L.3
Spie-Gelhalter, D.J.4
-
5
-
-
21344482755
-
Hyper-Markov laws in the statistical analysis of decomposable graphical models
-
DAWID, A. P. and LAURITZEN, S. L. (1993). Hyper-Markov laws in the statistical analysis of decomposable graphical models. Ann. Statist. 21 1272-1317.
-
(1993)
Ann. Statist.
, vol.21
, pp. 1272-1317
-
-
Dawid, A.P.1
Lauritzen, S.L.2
-
6
-
-
0000860415
-
Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models
-
DELLAPORTAS, P. and FORSTER, J. J. (1999). Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models. Biometrika 86 615-633.
-
(1999)
Biometrika
, vol.86
, pp. 615-633
-
-
Dellaportas, P.1
Forster, J.J.2
-
7
-
-
3843120764
-
Bayesian inference for nondecomposable graphical Gaussian models
-
DELLAPORTAS, P., GIUDICI, P. and ROBERTS, G. (2003). Bayesian inference for nondecomposable graphical Gaussian models. Sankhyā 65 43-55.
-
(2003)
Sankhyā
, vol.65
, pp. 43-55
-
-
Dellaportas, P.1
Giudici, P.2
Roberts, G.3
-
8
-
-
0001038826
-
Covariance selection
-
DEMPSTER, A. P. (1972). Covariance selection. Biometrics 28 157-175.
-
(1972)
Biometrics
, vol.28
, pp. 157-175
-
-
Dempster, A.P.1
-
9
-
-
0002467247
-
The weighted likelihood ratio, linear hypotheses on normal location parameters
-
DICKEY, J. M. (1971). The weighted likelihood ratio, linear hypotheses on normal location parameters. Ann. Math. Statist. 42 204-223.
-
(1971)
Ann. Math. Statist.
, vol.42
, pp. 204-223
-
-
Dickey, J.M.1
-
10
-
-
0034710980
-
Bounds for cell entries in contingency tables given marginal totals and decomposable graphs
-
DOBRA, A. and FIENBERG, S. E. (2000). Bounds for cell entries in contingency tables given marginal totals and decomposable graphs. Proc. Natl. Acad. Sci. U.S.A. 97 11,885-11,892.
-
(2000)
Proc. Natl. Acad. Sci. U.S.A.
, vol.97
-
-
Dobra, A.1
Fienberg, S.E.2
-
11
-
-
15944399178
-
Sparse graphical models for exploring gene expression data
-
DOBRA, A., HANS, C., JONES, B. NEVINS, J., YAO, G. and WEST, M. (2004). Sparse graphical models for exploring gene expression data. J. Multivariate Anal. 90 196-212.
-
(2004)
J. Multivariate Anal.
, vol.90
, pp. 196-212
-
-
Dobra, A.1
Hans, C.2
Jones, B.3
Nevins, J.4
Yao, G.5
West, M.6
-
12
-
-
33144479549
-
Bayesian covariance selection
-
DOBRA, A. and WEST, M. (2004). Bayesian covariance selection. Available as Discussion Paper 04-23 at www.isds.duke.edu.
-
(2004)
Discussion Paper 04-23
-
-
Dobra, A.1
West, M.2
-
13
-
-
33144482591
-
Incremental compilation of Bayesian networks
-
Morgan Kaufmann, San Francisco
-
FLORES, M. J., GÁMEZ, J. A. and OLESEN, K. G. (2003). Incremental compilation of Bayesian networks. In Proc. 19th Annual Conference on Uncertainty in Artificial Intelligence 233-240. Morgan Kaufmann, San Francisco.
-
(2003)
Proc. 19th Annual Conference on Uncertainty in Artificial Intelligence
, pp. 233-240
-
-
Flores, M.J.1
Gámez, J.A.2
Olesen, K.G.3
-
14
-
-
0033707946
-
Using Bayesian networks to analyze expression data
-
FRIEDMAN, N., LINIAL, M., NACHMAN, I. and PE'ER, D. (2000). Using Bayesian networks to analyze expression data. J. Computational Biology 7 601-620.
-
(2000)
J. Computational Biology
, vol.7
, pp. 601-620
-
-
Friedman, N.1
Linial, M.2
Nachman, I.3
Pe'Er, D.4
-
15
-
-
0011433907
-
Learning in graphical Gaussian models
-
(J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.) Oxford Univ. Press, London
-
GIUDICI, P. (1996). Learning in graphical Gaussian models. In Bayesian Statistics 5 (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.) 621-628. Oxford Univ. Press, London.
-
(1996)
Bayesian Statistics 5
, pp. 621-628
-
-
Giudici, P.1
-
16
-
-
0037266163
-
Improving Markov chain Monte Carlo model search for data mining
-
GIUDICI, P. and CASTELO, R. (2003). Improving Markov chain Monte Carlo model search for data mining. Machine Learning 50 127-158.
-
(2003)
Machine Learning
, vol.50
, pp. 127-158
-
-
Giudici, P.1
Castelo, R.2
-
17
-
-
0001099335
-
Decomposable graphical Gaussian model determination
-
GIUDICI, P. and GREEN, P. J. (1999). Decomposable graphical Gaussian model determination. Biometrika 86 785-801.
-
(1999)
Biometrika
, vol.86
, pp. 785-801
-
-
Giudici, P.1
Green, P.J.2
-
18
-
-
47849109874
-
Positive definite completions of partial Hermitian matrices
-
GRONE, R., JOHNSON, C. R., DE SA, E. M. and WOLKOWICZ, H. (1984). Positive definite completions of partial Hermitian matrices. Linear Algebra Appl. 58 109-124.
-
(1984)
Linear Algebra Appl.
, vol.58
, pp. 109-124
-
-
Grone, R.1
Johnson, C.R.2
De Sa, E.M.3
Wolkowicz, H.4
-
20
-
-
0002123103
-
Dependency networks for inference, collaborative filtering, and data visualization
-
HECKERMAN, D., CHICKERING, D. M., MEEK, C., ROUNTHWAITE, R. and KADIE, C. M. (2000). Dependency networks for inference, collaborative filtering, and data visualization. J. Machine Learning Research 1 49-75.
-
(2000)
J. Machine Learning Research
, vol.1
, pp. 49-75
-
-
Heckerman, D.1
Chickering, D.M.2
Meek, C.3
Rounthwaite, R.4
Kadie, C.M.5
-
22
-
-
2542631175
-
Graphical models for genetic analyses
-
LAURITZEN, S. L. and SHEEHAN, N. A. (2003). Graphical models for genetic analyses. Statist. Sci. 18 489-514.
-
(2003)
Statist. Sci.
, vol.18
, pp. 489-514
-
-
Lauritzen, S.L.1
Sheehan, N.A.2
-
23
-
-
21844520724
-
Bayesian graphical models for discrete data
-
MADIGAN, D. and YORK, J. (1995). Bayesian graphical models for discrete data. Internat. Statist. Rev. 63 215-232.
-
(1995)
Internat. Statist. Rev.
, vol.63
, pp. 215-232
-
-
Madigan, D.1
York, J.2
-
24
-
-
0035995077
-
Hyper-inverse Wishart distribution for non-decomposable graphs and its application to Bayesian inference for Gaussian graphical models
-
ROVERATO, A. (2002). Hyper-inverse Wishart distribution for non-decomposable graphs and its application to Bayesian inference for Gaussian graphical models. Scand. J. Statist. 29 391-411.
-
(2002)
Scand. J. Statist.
, vol.29
, pp. 391-411
-
-
Roverato, A.1
-
25
-
-
0017129474
-
Model search among multiplicative models
-
WERMUTH, N. (1976). Model search among multiplicative models. Biometrics 32 253-263.
-
(1976)
Biometrics
, vol.32
, pp. 253-263
-
-
Wermuth, N.1
-
26
-
-
0035949684
-
Predicting the clinical status of human breast cancer by using gene expression profiles
-
WEST, M., BLANCHETTE, C., DRESSMAN, H., HUANG, E., ISHIDA, S., SPANG, R., ZUZAN, H., OLSON, JR., J. A., MARKS, J.R. and NEVINS, J. R. (2001). Predicting the clinical status of human breast cancer by using gene expression profiles. Proc. Natl. Acad. Sci. U.S.A. 98 11,462-11,467.
-
(2001)
Proc. Natl. Acad. Sci. U.S.A.
, vol.98
-
-
West, M.1
Blanchette, C.2
Dressman, H.3
Huang, E.4
Ishida, S.5
Spang, R.6
Zuzan, H.7
Olson, J.J.A.8
Marks, J.R.9
Nevins, J.R.10
-
28
-
-
3843149220
-
Efficient estimation of covariance selection models
-
WONG, F., CARTER, C. and KOHN, R. (2003). Efficient estimation of covariance selection models. Biometrika 90 809-830.
-
(2003)
Biometrika
, vol.90
, pp. 809-830
-
-
Wong, F.1
Carter, C.2
Kohn, R.3
-
29
-
-
12344259602
-
Advances to Bayesian network inference for generating causal networks from observational biological data
-
Yu, J., SMITH, V., WANG, P., HARTEMINK, A. and JARVIS, E. (2004). Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics 20 3594-3603.
-
(2004)
Bioinformatics
, vol.20
, pp. 3594-3603
-
-
Yu, J.1
Smith, V.2
Wang, P.3
Hartemink, A.4
Jarvis, E.5
-
30
-
-
0036790999
-
Transitive functional annotation by shortest-path analysis of gene expression data
-
ZHOU, X., KAO, M. J. and WONG, W. H. (2002). Transitive functional annotation by shortest-path analysis of gene expression data. Proc. Natl. Acad. Sci. U.S.A. 99 12,783-12,788.
-
(2002)
Proc. Natl. Acad. Sci. U.S.A.
, vol.99
-
-
Zhou, X.1
Kao, M.J.2
Wong, W.H.3
|