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BMCBI
2004
117views more  BMCBI 2004»
13 years 7 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
CSDA
2006
60views more  CSDA 2006»
13 years 7 months ago
Numerical integration in logistic-normal models
Marginal maximum likelihood estimation is commonly used to estimate logistic-normal models. In this approach, the contribution of random effects to the likelihood is represented a...
Jorge González, Francis Tuerlinckx, Paul De...
ISBI
2004
IEEE
14 years 8 months ago
Likelihood Function Analysis for Segmentation of Mammographic Masses for Various Margin Groups
The purpose of this work was to develop an automatic boundary detection method for mammographic masses and to observe the method's performance on different four of the five m...
Lisa Kinnard, Shih-Chung Ben Lo, Erini Makariou, T...
CSDA
2006
142views more  CSDA 2006»
13 years 7 months ago
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Fitting of non-Gaussian hierarchical random effects models by approximate maximum likelihood can be made automatic to the same extent that Bayesian model fitting can be automated ...
Hans J. Skaug, David A. Fournier
ICML
2010
IEEE
13 years 8 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey