COURSE: Semiparametric Regression
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Semiparametric regression is concerned
with the
exible incorporation of nonlinear
functional relationships in regression
analyses. Assuming only a basic familiarity
with ordinary regression, this short-course
explains the techniques and benets of
semiparametric regression in a concise and
modular fashion. Spline functions, linear
mixed models and Bayesian hierarchical
models are shown to play an important role
in semiparametric regression. There will be
a strong emphasis on implementation in R
and BUGS.
Registration for the course is available online at http://scg.maths.uwa.edu.au/?id=347
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