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Spatial data when the missing mechanism is MNAR (non-ignorable)

Amitha Puranik 
Is it possible to impute missing values in spatial data when the
missingness is *MNAR (non-ignorable)*? Can pattern mixture model or
selection model be modified to incorporate autocorrelation property and
used in this context?
Any suggestion/opinion is appreciated.

Thanks in advance,
Amitha Puranik

Thread (6 messages)

Amitha Puranik Spatial data when the missing mechanism is MNAR (non-ignorable) Oct 4 Roger Bivand Spatial data when the missing mechanism is MNAR (non-ignorable) Oct 5 Amitha Puranik Spatial data when the missing mechanism is MNAR (non-ignorable) Oct 5 Amitha Puranik Spatial data when the missing mechanism is MNAR (non-ignorable) Oct 6 Roger Bivand Spatial data when the missing mechanism is MNAR (non-ignorable) Oct 6 Amitha Puranik Spatial data when the missing mechanism is MNAR (non-ignorable) Oct 6