id	summary	reporter	owner	description	type	status	priority	milestone	component	version	severity	resolution	keywords	cc
635	Hierarquical structure over BSR missing block variables	Víctor de Buen Remiro	Jorge	"User should be able to define latent, prior and generic constraints over missing block variables.

A tipical situation is that an input or output is non stationary, so scalar truncated normal distributions are no too apropriate.

For example, if the original series requires a regular difference to be stationary, then user could write something like this 

{{{
  knownValue[n-1] = residual[n] + missingVariable[n] 
}}}

if n-th datum is unknown but (n-1)-th is known, or

{{{
  0 = residual[n] + missingVariable[n] - missingVariable[n-1]
}}}

if both n-th and (n-1)-th data are unknown.
"	defect	new	highest		Database		blocker		BSR, missing, hierarquical