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1. Quantifying social group evolution - Palla, Gergely; Barabasi, Albert-Laszlo; Vicsek, Tamas The rich set of interactions between individuals in the society results incomplex community structure, capturing highly connected circles of friends,families, or professional cliques in a social network.
4. An Integrated Human-Computer System for Controlling Interstate Disputes - Marwala, Tshilidzi; Lagazio, Monica; Tettey, Thando It was found that by controlling the four controllable inputs:Democracy, Dependency, Allies and Capability simultaneously, all the predicteddispute outcomes could be avoided.
6. Various Approaches for Predicting Land Cover in Mountain Areas - Villa, Nathalie; Paegelow, Martin; Olmedo, Maria T. Camacho; Cornez, Laurence; Ferraty, Frédéric; Ferré, Louis; Sarda, Pascal Using former maps, geographers intend to study the evolution of the landcover in order to have a prospective approach on the future landscape;predictions of the future land cover, by the use of older maps andenvironmental variables, are usually done through the GIS (GeographicInformation System).
7. Bivariate linear mixed models using SAS proc MIXED - Thiébaut, Rodolphe; Jacqmin-Gadda, Hélène; Chêne, Geneviève; Leport, Catherine; Commenges, Daniel Bivariate linear mixed models are useful when analyzing longitudinal data oftwo associated markers.
11. Lasso type classifiers with a reject option - Wegkamp, Marten We consider the problem of binary classification where one can, for aparticular cost, choose not to classify an observation.
12. Finite Element Model Updating Using Bayesian Approach - Marwala, Tshilidzi; Mdlazi, Lungile; Sibisi, Sibusiso This paper compares the Maximum-likelihood method and Bayesian method forfinite element model updating.
13. Codage arithmetique pour la description d'une distribution - Coq, Guilhem; Alata, Olivier; Arnaudon, Marc; Olivier, Christian We then present an extension of these codingtechniques to non-parametrical estimation of a distribution and illustrate iton the gray scales histogram of an image.
14. Evaluating Throwing Ability in Baseball - Carruth, Matthew; Jensen, Shane T. Weattribute a run contribution to each success or failure which are tabulated foreach player in each season.
15. Mixed membership stochastic blockmodels - Airoldi, Edoardo M; Blei, David M; Fienberg, Stephen E; Xing, Eric P In this paper, we describe a latent variable model of such data called themixed membership stochastic blockmodel.
16. Variable Selection Incorporating Prior Constraint Information into Lasso - Song, Shurong Zheng; Guodong; Shi, Ning-Zhong Moreover, the proposed procedure is not only usedfor linear models but also can be used for generalized linear models({\slGLM}), Cox models, quantile regression models and many others with the help ofWang and Leng (2007)'s LSA, which changes these models as the approximation oflinear models.
17. Modeling Hourly Ozone Concentration Fields - Dou, Yiping; Le, Nhu D; Zidek, James V This paper presents a dynamic linear model for modeling hourly ozoneconcentrations over the eastern United States.
18. Compressed Regression - Zhou, Shuheng; Lafferty, John; Wasserman, Larry In this paper we study a variant of this problem where theoriginal $n$ input variables are compressed by a random linear transformationto $m \ll n$ examples in $p$ dimensions, and establish conditions under which asparse linear model can be successfully recovered from the compressed data.
19. Bayesian Deformable Models Building via Stochastic Approximation Algorithm: A Convergence Study - Allassonniere, Stéphanie; Kuhn, Estelle; Trouvé, Alain The problem of the definition and the estimation of generative models basedon deformable templates from raw data is of particular importance for modellingnon aligned data affected by various types of geometrical variability.
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