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Statistical Model Building, Machine Learning, and the Ah-Ha Moment
Statistical Model Building Machine Learning the Ah-Ha Moment
2013/4/28
The Committee of Presidents of Statistical Societies (COPSS) will celebrate its 50th Anniversary in 2013. As part of its celebration, COPSS intends to publish a book with contributions from the past r...
Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Bayesian learning data management environmental health model validation
2009/9/24
In this article,we present a behind-the-scenes look at a Bayesian
hierarchical analysis of pathways of exposure to arsenic(a toxic heavy metal)
using the Phase I National Human Exposure Assessment ...
Building hyper Dirichlet processes for graphical models
Hyper Markov law stick-breakingmeasure non-parametric prior decomposable graphical distribution covariance selection
2009/9/16
Graphical models are used to describe the conditional independence relations in multivariate data. They have been used for a variety of problems, including log-linear models (Liu and Massam, 2006), ne...