Titlebook: Case Studies in Bayesian Statistics; Volume VI Constantine Gatsonis,Robert E. Kass,Isabella Verdi Conference proceedings 2002 Springer-Verl

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Hierarchical Bayes Models for Relating Particulate Matter Exposure Measuresthe amount of time each individual spent inside the home, outside near the home, and elsewhere. We use a Dirichlet-normal hierarchical structure to model the relationships among the pollutant levels measured by the different monitors. Implemented via a Gibbs-Metropolis algorithm, our model allows fo

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A Bayesian Approach to Reducing Heterogeneity in Laboratory Measures: An Illustration from Schizophrby maximum likelihood estimation, based on the expectation-maximization (EM) algorithm. The validity of our parsing strategy is supported by reference to other laboratory indexes of relevance to schizophrenia and schizotypy that were not included in the initial analyses.

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Multi-scale Relationships Between Coarse Woody Debris and Presence/Absence of Western Hemlock in thes not seem to depend on the total amount of CWD available in the stand. This suggests that hemlock is not able to use alternative substrates for recruitment when CWD is not available. In turn, these results suggest that CWD can be used to help predict the presence of hemlock saplings in a stand, and

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Was it a car or a cat I saw? An Analysis of Response Times for Word Recognitioninstruments that are commonly used in the cognitive psychology arena. We pay close attention to the quality of the fits, the adequacy of the assumptions, and their impact on the inferential conclusions.

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Dual Roles of Oxidative Stress in the Lungs residual variances were set equal to one, since these parameters cannot be identified. Gibbs sampling and a random walk Metropolis-Hastings algorithm (RWMH) were used to draw from posterior distributions of interest. Inferences were based on 210,000 samples, after discarding 40,000 iterations as bu

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