The Bayesian analysis of random coefficient regression models.
J. Natl. Acad. Math. India
The Bayesian analysis of the random coefficient normal linear model is revisited. The basic results are derived in a natural way which has the significant advantage of yielding approximations in the case of an arbitrary random coefficient model. Approximations to posterior distributions are discussed when variances and covariances are unknown. The results are specialized to the case of independent observations on a number of individuals, with a linear model across individuals. Computational aspects are briefly discussed and three analyses described.
|Title:||The Bayesian analysis of random coefficient regression models|
|Keywords:||Growth curve, Normal linear model, Random coefficient model, Approximations to posterior distributions, Independent observations|
|UCL classification:||UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
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