Regression models in R (JAGS and INLA)
$30-250 USD
Maksettu toimituksen yhteydessä
Using JAGS, implement a Bayesian version of the model in
part a), i.e. a Bayesian Poisson GLM with log link function and the
number of persons acting as the offset variable. Explain how did you
construct your model. Use a Gaussian prior with mean 0 and variance 100
for the intercept, and independent Gaussian priors with mean 0 and
variance 1 for the other 3 regression coefficients. Do 5000 burn-in
iterations, and obtain 10000 samples from all regression coefficients
from this model using coda.samples.
More details to this will be shared with selective candidates only. please leave your bids so we can discuss this further.
Thank you
Projektin tunnus: #33334318