-
1
-
-
42649091463
-
Characterization of the proneural gene regulatory network during mouse telencephalon development
-
J. Gohlke, O. Armant, F. Parham, M. Smith, C. Zimmer, D. Castro, L. Nguyen, J. Parker, G. Gradwohl, C. Portier, and F. Guillemot, "Characterization of the proneural gene regulatory network during mouse telencephalon development," BMC Biology, vol. 6, no. 1, p. 15, 2008.
-
(2008)
BMC Biology
, vol.6
, Issue.1
, pp. 15
-
-
Gohlke, J.1
Armant, O.2
Parham, F.3
Smith, M.4
Zimmer, C.5
Castro, D.6
Nguyen, L.7
Parker, J.8
Gradwohl, G.9
Portier, C.10
Guillemot, F.11
-
2
-
-
17044424990
-
Gene regulatory networks
-
Apr
-
E. Davidson and M. Levin, "Gene regulatory networks," in Proc. Nat. Acad. Sci, Apr. 2005, vol. 102, no. 14.
-
(2005)
Proc. Nat. Acad. Sci
, vol.102
, Issue.14
-
-
Davidson, E.1
Levin, M.2
-
3
-
-
0034354940
-
Graphical interaction models for multivariate time series
-
R. Dahlhaus, "Graphical interaction models for multivariate time series," Metrika, vol. 51, pp. 151-172, 2000.
-
(2000)
Metrika
, vol.51
, pp. 151-172
-
-
Dahlhaus, R.1
-
4
-
-
78649410048
-
The analysis of the interdependence structure in international financial markets by graphical models
-
A. Abdelwahab, O. Amor, and T. Abdelwahed, "The analysis of the interdependence structure in international financial markets by graphical models," Int. Res. J. Finance Econ., pp. 291-306, 2008.
-
(2008)
Int. Res. J. Finance Econ.
, pp. 291-306
-
-
Abdelwahab, A.1
Amor, O.2
Abdelwahed, T.3
-
5
-
-
84930627030
-
Inferring brain networks through graphical models with hidden variables
-
Sierra Nevada, Spain, Dec
-
J. Dauwels, H. Yu, X. Wang, F. Vialatte, C. Latchoumane, J. Jeong, and A. Cichocki, "Inferring brain networks through graphical models with hidden variables," in NIPS 2011 Workshop on Machine Learning and Interpretation in Neuroimaging, Sierra Nevada, Spain, Dec. 2011.
-
(2011)
NIPS 2011 Workshop on Machine Learning and Interpretation in Neuroimaging
-
-
Dauwels, J.1
Yu, H.2
Wang, X.3
Vialatte, F.4
Latchoumane, C.5
Jeong, J.6
Cichocki, A.7
-
6
-
-
79957439381
-
Causal network inference via group sparse regularization
-
Jun
-
A. Bolstad, B. D. van Veen, and R. Nowak, "Causal network inference via group sparse regularization," IEEE Trans. Signal Process., vol. 59, no. 6, pp. 2628-2641, Jun. 2011.
-
(2011)
IEEE Trans. Signal Process.
, vol.59
, Issue.6
, pp. 2628-2641
-
-
Bolstad, A.1
Van Veen, B.D.2
Nowak, R.3
-
7
-
-
78649428828
-
Topology selection in graphical models of autoregressive processes
-
J. Songsiri and L. Vandenberghe, "Topology selection in graphical models of autoregressive processes," J. Mach. Learn. Res., vol. 11, pp. 2671-2705, 2010.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 2671-2705
-
-
Songsiri, J.1
Vandenberghe, L.2
-
8
-
-
84905268881
-
Compressive nonparametric graphical model selection for time series
-
Florence, Italy, May
-
A. Jung, R. Heckel, H. Bölcskei, and F. Hlawatsch, "Compressive nonparametric graphical model selection for time series," in Proc. IEEE ICASSP-2014, Florence, Italy, May 2014.
-
(2014)
Proc. IEEE ICASSP-2014
-
-
Jung, A.1
Heckel, R.2
Bölcskei, H.3
Hlawatsch, F.4
-
9
-
-
33747163541
-
High-dimensional graphs and variable selection with the Lasso
-
N. Meinshausen and P. Bühlmann, "High-dimensional graphs and variable selection with the Lasso," Ann. Statist., vol. 34, no. 3, pp. 1436-1462, 2006.
-
(2006)
Ann. Statist.
, vol.34
, Issue.3
, pp. 1436-1462
-
-
Meinshausen, N.1
Bühlmann, P.2
-
10
-
-
45849134070
-
Sparse inverse covariance estimation with the graphical lasso
-
Jul
-
J. H. Friedmann, T. Hastie, and R. Tibshirani, "Sparse inverse covariance estimation with the graphical lasso," Biostatistics, vol. 9, no. 3, pp. 432-441, Jul. 2008.
-
(2008)
Biostatistics
, vol.9
, Issue.3
, pp. 432-441
-
-
Friedmann, J.H.1
Hastie, T.2
Tibshirani, R.3
-
12
-
-
83455181601
-
New insights and faster computations for the graphical lasso
-
D. M. Witten, J. H. Friedmann, and N. Simon, "New insights and faster computations for the graphical lasso," J. Comput. Graph. Stat., vol. 20, no. 4, pp. 892-900, 2011.
-
(2011)
J. Comput. Graph. Stat.
, vol.20
, Issue.4
, pp. 892-900
-
-
Witten, D.M.1
Friedmann, J.H.2
Simon, N.3
-
13
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers," Found. Trends Mach. Learn., vol. 3, no. 1, pp. 1-122, 2011.
-
(2011)
Found. Trends Mach. Learn.
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
14
-
-
84555218018
-
Distributed covariance estimation in Gaussian graphical models
-
Jan
-
A. Wiesel and A. O. Hero, "Distributed covariance estimation in Gaussian graphical models," IEEE Trans. Signal Process., vol. 60, no. 1, pp. 211-220, Jan. 2012.
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.1
, pp. 211-220
-
-
Wiesel, A.1
Hero, A.O.2
-
15
-
-
84893766307
-
The joint graphical lasso for inverse covariance estimation across multiple classes
-
P. Danaher, P. Wang, and D. M. Witten, "The joint graphical lasso for inverse covariance estimation across multiple classes," J. R. Statist. Soc. B, vol. 76, pp. 373-397, 2014.
-
(2014)
J. R. Statist. Soc. B
, vol.76
, pp. 373-397
-
-
Danaher, P.1
Wang, P.2
Witten, D.M.3
-
17
-
-
33847384685
-
-
Ph.D. thesis, Univ. Heidelberg, Heidelberg, Germany
-
M. Eichler, "Graphical Models in Time Series Analysis," Ph.D. thesis, Univ. Heidelberg, Heidelberg, Germany, 1999.
-
(1999)
Graphical Models in Time Series Analysis
-
-
Eichler, M.1
-
18
-
-
77955054299
-
On the conditions used to prove oracle results for the Lasso
-
S. A. van de Geer and P. Bühlmann, "On the conditions used to prove oracle results for the Lasso," Electron. J. Statist., vol. 3, pp. 1360-1392, 2009.
-
(2009)
Electron. J. Statist.
, vol.3
, pp. 1360-1392
-
-
Geer De Van, S.A.1
Bühlmann, P.2
-
19
-
-
80555142374
-
High-dimensional covariance estimation by minimizing-penalized log-determinant divergence
-
P. Ravikumar, M. J. Wainwright, B. Raskutti, and G. Yu, "High-dimensional covariance estimation by minimizing-penalized log-determinant divergence," Electron. J. Statist., vol. 5, pp. 935-980, 2011.
-
(2011)
Electron. J. Statist.
, vol.5
, pp. 935-980
-
-
Ravikumar, P.1
Wainwright, M.J.2
Raskutti, B.3
Yu, G.4
-
20
-
-
3543119498
-
Learning graphical models for stationary time series
-
Aug
-
F. R. Bach and M. I. Jordan, "Learning graphical models for stationary time series," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2189-2199, Aug. 2004.
-
(2004)
IEEE Trans. Signal Process.
, vol.52
, Issue.8
, pp. 2189-2199
-
-
Bach, F.R.1
Jordan, M.I.2
-
21
-
-
0000751392
-
Estimation and information in time series
-
P. Whittle, "Estimation and information in time series," Ark. Mater., vol. 2, pp. 423-434, 1953.
-
(1953)
Ark. Mater.
, vol.2
, pp. 423-434
-
-
Whittle, P.1
-
23
-
-
0004267646
-
-
Princeton, NJ, USA: Princeton Univ. Press
-
R. T. Rockafellar, Convex Analysis. Princeton, NJ, USA: Princeton Univ. Press, 1970.
-
(1970)
Convex Analysis.
-
-
Rockafellar, R.T.1
-
24
-
-
0029359118
-
A trace inequality for matrix product
-
Aug
-
J. B. Lasserre, "A trace inequality for matrix product," IEEE Trans. Automat. Contr., vol. 40, no. 8, Aug. 1995.
-
(1995)
IEEE Trans. Automat. Contr.
, vol.40
, Issue.8
-
-
Lasserre, J.B.1
-
26
-
-
84930652154
-
Learning the conditional independence structure of stationary time series: A multitask learning approach
-
[Online]. Available, submitted for publication
-
A. Jung, "Learning the conditional independence structure of stationary time series: A multitask learning approach," IEEE Trans. Signal Process. [Online]. Available: http://arxiv.org/pdf/1404.1361v3.pdf, submitted for publication
-
IEEE Trans. Signal Process
-
-
Jung, A.1
|