3 papers
stat.AP2007
MCMC Inference for a Model with Sampling Bias: An Illustration using SAGE data
Russell Zaretzki, Michael A. Gilchrist, William M. Briggs +1
This paper explores Bayesian inference for a biased sampling model in situations where the population of interest cannot be sampled directly, but rather through an indirect and inh…
physics.ao-ph2007
Changes in number and intensity of world-wide tropical cyclones
William M Briggs
Bayesian statistical models were developed for the number of tropical cyclones and the rate at which these cyclones became hurricanes in the North Atlantic, North and South Indian,…
math.ST2007
On the non-arbitrary assignment of equi-probable priors
William M. Briggs
How to form priors that do not seem artificial or arbitrary is a central question in Bayesian statistics. The case of forming a prior on the truth of a proposition for which there…