Graphical Models with RCarretta T.RRee M.J
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Causal inference using graphical models with the R package pcalg. Journal of Statistical Software, 47(11):1-26, 2012.Kalisch, M, Mächler, M, Colombo, D, Maathuis, M, Bühlmann, P (2012) Causal inference using graphical models with the R package pcalg. J. Stat. Softw. 47: pp. 1-...
Graphical models are useful for researchers because they support efficient computation in models with many variables and provide a visualization of a complex model. View chapter Reference work 2010, International Encyclopedia of Education (Third Edition)R.G. Almond...
Borgelt, C., Steinbrecher, M., Kruse, R.R.: Graphical models: representations for learning, reasoning and data mining, vol. 704. Wiley (2009)Borgelt C., Steinbrecher M., Kruse R. R. (2009). Graphical models: representations for lear- ning, reasoning and data mining (vol. 704). ...
A graph consists of a set of vertices (nodes), along with a set of edges joining some pairs of the vertices. In graphical models, each vertex represents a random variable, and the graph gives a visual way of understanding the joint distribution of the entire set of random variables. They...
Strong positive correlation of mother’s delivery weight (dwgt_r) with pre-pregnancy weight (pwgt_r) is shown in both models. Similarly, both models show that married mothers (dmar\(=1\)) are likely to gain more weight than unmarried (dmar\(=2\)). ...
L. (2007), "Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc package for R", Journal of Statistical Software, 23, 1-26.Hojsgaard, S.: Inference in Graphical Gaussian Models with Edge and Vertex Sym- metries with the gRc Package for R. Journal of ...
GCMs are fitted via a series of univariate regressions [25], thus standard inferential procedures for generalized linear models, based on maximum likelihood, can be implemented. Here, we used the gRchain routine developed in the software R. Missing values were filled in with the k-nn method [...
with a more applied text such as Whit- , 'taker,or Edwards (Also) the focus of Lauritzen's book is graphical models as statistical models,not statistical expert systems Although he provides a review of research on this topic,Lauritzen sen-sibly devotes little space to it Graphical models as...