Hierarchical models, conditional independence and data augmentation [electronic resource] / Greg M. Allenby.

By: Allenby, Greg M. (Greg Martin), 1956- [spk]Material type: FilmFilmSeries: Henry Stewart talksBusiness & management collection. Bayesian analysis in marketing: Publisher: London : Henry Stewart Talks, 2010Description: 1 online resource (1 streaming video file (53 min.) : color, sound)Subject(s): Bayesian statistical decision theory | Marketing researchOnline resources: Click here to access online | Series
Contents:
Contents: Fly fishing: a hierarchical model -- Motivation -- Traditional estimation -- Gibbs sampler for the probit model -- Probit conditional distributions -- Inverse cdf -- Basics of hierarchical models -- Conditional independence -- Mixtures of normals -- Model hierarchy -- Gibbs sampler for mixtures of normals -- Multivariate mix of norms.
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Contents: Fly fishing: a hierarchical model -- Motivation -- Traditional estimation -- Gibbs sampler for the probit model -- Probit conditional distributions -- Inverse cdf -- Basics of hierarchical models -- Conditional independence -- Mixtures of normals -- Model hierarchy -- Gibbs sampler for mixtures of normals -- Multivariate mix of norms.

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