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Bayesian Model Specification: Some problems related to model choice and calibration
(2011)In the development of Bayesian model specification for inference and prediction we focus on the conditional distributions p([theta],[beta]) and p(D[theta],[beta]), with data D and background assumptions [beta], and ... 
Bioassay models with natural mortality and random effects
(2011)In fitting doseresponse models to entomological data it is often necessary to take account of natural mortality and/or overdispersion. The standard approach to handle natural mortality is to use Abbott¿s formula. Standard ... 
Bioassays with natural mortality: handling overdispersion using random effects
(2011)In fitting doseresponse models to entomological data it is often necessary to take account of natural mortality and/or overdispersion. The standard approach to handle natural mortality is to use Abbott's formula (Abbott, ... 
Computational Selection of Transcriptomics Experiments Improves GuiltbyAssociation Analyses
(PLos ONE, 20120807)The GuiltbyAssociation (GBA) principle, according to which genes with similar expression profiles are functionally associated, is widely applied for functional analyses using large heterogeneous collections of transcriptomics ... 
Program quality with pair programming in CS1
(2005)In several regression applications, a different structural relationship might be anticipated for the higher or lower responses than the average responses. In such cases, quantile regression analysis can uncover important ... 
Quantifying the Price of Uncertainty in Bayesian Models
(2013)During the exploratory phase of a typical statistical analysis it is natural to look at the data in order to narrow down the scope of the subsequent steps, mainly by selecting a set of families of candidate models ...