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Generalized Linear Models

- A Bayesian Perspective

About Generalized Linear Models

Describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs, this work considers parametric and semiparametric approaches to overdispersed GLMs.

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  • Language:
  • English
  • ISBN:
  • 9780824790349
  • Binding:
  • Hardback
  • Pages:
  • 442
  • Published:
  • May 25, 2000
  • Dimensions:
  • 174x246x26 mm.
  • Weight:
  • 970 g.
Delivery: 2-3 weeks
Expected delivery: October 19, 2024

Description of Generalized Linear Models

Describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs, this work considers parametric and semiparametric approaches to overdispersed GLMs.

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