why is posterior hardly changing why is a different prior not affecting posterior why do priors affect posterior why is the posterior hardly changing in bayesglm r in bayesglm how is the posterior affecting why is the posterior hardly changing in bayesglm why is the posterior in bayesglm radically different? which model does not use a different prior why is posterior hardly changing why is posterior hardly changing why is a wildly different prior not affecting posterior estimate in bayesglm why is the posterior not changing why does the posterior not change which prior is hardly affected by posterior why is the posterior not changing in bayesglm why is posterior in bayesglm slightly different why is a wildly different prior not affecting the posterior? why is the posterior not changing with the prior why is the posterior not changing in bayesglm why is posterior hardly changing