ANDREW ET AL. GELMAN
CHAPMAN & HALL LTD- 9781584883883
This graduate textbook introduces the fundamentals of Bayesian inference and modeling, describes methods for computing posterior distributions in hierarchical models, and explores a few standard linear regression and generalized linear models. The second edition adds chapters on nonlinear models and decision analysis.
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