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	Víctor de Buen Remiro	"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.

Then, it should be possible to define an ARIMA model for the residuals of a special node {{{missingResidual}}} with linear equations of regression:

{{{
  knownValue[n] = missingResidual[n] //If n-th datum is known
}}}

{{{
  0 = missingResidual[n] - missingVariable[n] //If n-th datum is unknown
}}}

"	task	closed	highest	BSR hierarchy and priors	Math	2.0.1	blocker	duplicate	BSR, missing, hierarquical