Book 3/omnibus thoughts
Categories: Uncategorized I have finally gotten some quotes in for printing book 3 and/or the omnibus. After the results being pretty split on skipping to the omnibus, I’m probably going to print both volume 3 and the omnibus. My rough thoughts are as follows: Initial campaign: $10k. Book 3 would be $25, as would the omnibus in the […] |
Engine of modernity : The omnibus and urban culture in nineteenth-century Paris [Electronic book] / Masha Belenky.
Low Information Omnibus (LIO) Priors for Dirichlet Process Mixture Models
Yushu Shi, Michael Martens, Anjishnu Banerjee, Purushottam Laud.
Source: Bayesian Analysis, Volume 14, Number 3, 677--702.
Abstract:
Dirichlet process mixture (DPM) models provide flexible modeling for distributions of data as an infinite mixture of distributions from a chosen collection. Specifying priors for these models in individual data contexts can be challenging. In this paper, we introduce a scheme which requires the investigator to specify only simple scaling information. This is used to transform the data to a fixed scale on which a low information prior is constructed. Samples from the posterior with the rescaled data are transformed back for inference on the original scale. The low information prior is selected to provide a wide variety of components for the DPM to generate flexible distributions for the data on the fixed scale. The method can be applied to all DPM models with kernel functions closed under a suitable scaling transformation. Construction of the low information prior, however, is kernel dependent. Using DPM-of-Gaussians and DPM-of-Weibulls models as examples, we show that the method provides accurate estimates of a diverse collection of distributions that includes skewed, multimodal, and highly dispersed members. With the recommended priors, repeated data simulations show performance comparable to that of standard empirical estimates. Finally, we show weak convergence of posteriors with the proposed priors for both kernels considered.
HIPAA Omnibus Final Rule
This package of regulations includes modifications to the HIPAA privacy, security, enforcement and breach notification rules, as required under the HITECH Act.