@article{JSFS_2015__156_3_52_0, author = {Daudin, Jean-Jacques}, title = {Editorial of the {Special} {Issue} {{\textquotedblleft}Networks} and {Statistics{\textquotedblright}}}, journal = {Journal de la soci\'et\'e fran\c{c}aise de statistique}, pages = {52--53}, publisher = {Soci\'et\'e fran\c{c}aise de statistique}, volume = {156}, number = {3}, year = {2015}, zbl = {1338.00052}, language = {en}, url = {http://archive.numdam.org/item/JSFS_2015__156_3_52_0/} }
TY - JOUR AU - Daudin, Jean-Jacques TI - Editorial of the Special Issue “Networks and Statistics” JO - Journal de la société française de statistique PY - 2015 SP - 52 EP - 53 VL - 156 IS - 3 PB - Société française de statistique UR - http://archive.numdam.org/item/JSFS_2015__156_3_52_0/ LA - en ID - JSFS_2015__156_3_52_0 ER -
%0 Journal Article %A Daudin, Jean-Jacques %T Editorial of the Special Issue “Networks and Statistics” %J Journal de la société française de statistique %D 2015 %P 52-53 %V 156 %N 3 %I Société française de statistique %U http://archive.numdam.org/item/JSFS_2015__156_3_52_0/ %G en %F JSFS_2015__156_3_52_0
Daudin, Jean-Jacques. Editorial of the Special Issue “Networks and Statistics”. Journal de la société française de statistique, Tome 156 (2015) no. 3, pp. 52-53. http://archive.numdam.org/item/JSFS_2015__156_3_52_0/
[1] A review of statistical models for clustering networks with an application to a PPI network, Journal de la Société Française de Statistique, Volume 152 (2011) no. 2, pp. 111-125 | Numdam | Zbl
[2] Model for Heterogeneous Random Networks Using Continuous Latent Variables and an Application to a Tree-Fungus Network, Biometrics, Volume 66 (2010) no. 4, pp. 1043-1051 | DOI | Zbl
[3] Trophic groups and modules: two levels of group detection in food webs, Journal of The Royal Society Interface, Volume 12 (2015) no. 106 | DOI
[4] Statistical Models for Network Graphs, Use R!, 65, Springer New York, 2014, pp. 85-109 | DOI
[5] Clustering methods differ in their ability to detect patterns in ecological networks, Methods in Ecology and Evolution, Volume 6 (2015) no. 4, pp. 474-481 | DOI
[6] Detection of structurally homogeneous subsets in graphs, Statistics and Computing, Volume 24 (2014) no. 5, pp. 675-692 | DOI | Zbl
[7] Spatially constrained clustering of ecological networks, Methods in Ecology and Evolution, Volume 5 (2014) no. 8, pp. 771-779 | DOI
[8] Modeling heterogeneity in random graphs through latent space models: a selective review, ESAIM: Proc., Volume 47 (2014), pp. 55-74 | DOI | Zbl
[9] Model-based clustering of large networks, Ann. Appl. Stat., Volume 7 (2013) no. 2, pp. 1010-1039 | DOI | Zbl