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Showing 1 to 6 of 6 for “"Dirichlet-multinomial"”.

  1. Cluster analysis of microbiome data via mixtures of Dirichlet-multinomial regression models

    … is an active area of research. Previously, a Dirichlet-multinomial regression framework has been suggested to model this relationship, but it did not account for any latent group structure which has been observed across microbiome samples which share similar biota compositions (known as …

    guelph Repository record for Cluster analysis of microbiome data via mixtures of Dirichlet-multinomial regression models (opens in a new tab)

  2. Models of intelligence operations

    … of the original MABA problem. Both a discrete Dirichlet-Multinomial and a continuous Exponential-Gamma-Gamma implementation of the MABA problem are developed, where the latter also models uncertainty in the processor's own ability to accurately assess the importance of sampled items.

    lancaster Repository record for Models of intelligence operations (opens in a new tab)

  3. Bayesian Designs For Early Phase Clinical Trials With Novel Target Agents

    … endpoints under a unified framework. We use a Dirichlet-multinomial model to accommodate different types of endpoints. At each interim, the go/no-go decision is made by evaluating a set of posterior probabilities of the events of interest, which is optimized to maximize power or minimize the …

    uthsc Repository record for Bayesian Designs For Early Phase Clinical Trials With Novel Target Agents (opens in a new tab)

  4. Compositional models for mutational signature analysis

    … signatures, and copy number signatures. The Dirichlet-multinomial mixed effects model for single-nucleotide data is shown to have good sensitivity compared to existing fixed-effects alternatives, and higher specificity than compositional models that do not allow any overdispersion. Similarly, …

    cambridge Repository record for Compositional models for mutational signature analysis (opens in a new tab)

  5. Bayesian Methods to Characterize Uncertainty in Predictive Modeling of the Effect of Urbanization on Aquatic Ecosystems

    … this prior with available data using conjugate Dirichlet-multinomial distribution forms. The resulting models elucidate differences between regional responses to urbanization (particularly due to background agriculture and precipitation) and address the influences of multiple urban induced …

    duke Repository record for Bayesian Methods to Characterize Uncertainty in Predictive Modeling of the Effect of Urbanization on Aquatic Ecosystems (opens in a new tab)

  6. Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling

    There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both …

    uiuc Repository record for Towards high quality, scalable education: Techniques in automated assessment and probabilistic user behavior modeling (opens in a new tab)