Example #1
0
 def kernel(rvs, idx):
   rvs, _ = fun_mcmc.running_variance_step(
       rvs, data[idx], window_size=window_size)
   return (rvs, idx + 1), (rvs.mean, rvs.variance)
Example #2
0
 def kernel(rvs, idx):
   rvs, _ = fun_mcmc.running_variance_step(rvs, data[idx], axis=aggregation)
   return (rvs, idx + 1), ()